Sinokap
Menu
Get In Touch
Menu

Microsoft September 2026 Security Update: Two Exploited Zero-Days Require Immediate Enterprise Action

On September 8, Microsoft released its September 2026 security updates. For enterprise IT teams, the most important question is not the headline number of fixes. It is whether actively exploited vulnerabilities are present in the environment—and whether updates have actually reached every affected device.

Executive priority: Patch the two exploited Windows elevation-of-privilege vulnerabilities first, then verify high-risk servers, restart completion and deployment exceptions.

Start with the two vulnerabilities already exploited in the wild

Security vendors report slightly different total CVE counts because their counting methods differ. The priority signal is much clearer: Microsoft identifies two Windows elevation-of-privilege vulnerabilities as exploited in the wild.

CVE-2026-81963: Windows Update Stack elevation of privilege

This link-following issue may allow an attacker who already has code execution on a device to elevate privileges to SYSTEM. Microsoft assigns a CVSS score of 7.8 and lists exploitation as detected.

CVE-2026-85880: Windows ALPC elevation of privilege

This vulnerability affects Windows Advanced Local Procedure Call. Successful exploitation may also provide SYSTEM-level privileges. It carries a CVSS score of 7.8 and has been observed in attacks.

Windows endpoint protected against exploited zero-day vulnerabilities in an enterprise environment
Concept illustration of exploited Windows vulnerabilities and endpoint protection; not an official Microsoft screenshot.

Servers and core infrastructure need targeted review

The September release also includes high-impact issues affecting Windows DNS Server, Kerberos, Remote Desktop Services and on-premises Exchange Server.

DNS and identity infrastructure

CVE-2026-69730 affects Windows DNS Server, has a CVSS score of 9.8 and is rated by Microsoft as exploitation more likely. Kerberos-related vulnerabilities should also be assessed against the organization’s domain architecture and exposure.

Remote access services

Remote Desktop Services received fixes for multiple remote-code-execution issues. Internet-facing remote services should be checked first for version, exposure, access controls and successful patch installation.

On-premises Exchange Server

Under specific conditions, CVE-2026-69380 may allow an authenticated low-privilege mailbox user to access other mailboxes and attachments, and to send or receive mail as another user.

Hotpatch does not remove this month’s restart requirement

Microsoft’s September guidance says this month’s Windows security release is a baseline update, not a hotpatch update. Some security improvements affect components that cannot be replaced without restarting, so devices enrolled in Windows Hotpatch still need a restart to complete installation.
“Deployed” is not the same as “effective.” IT teams should verify installation results, pending-restart status and failed devices—not only whether an update command was sent.

A practical enterprise patch plan for this week

Enterprise IT team deploying security updates in pilot and production stages
Concept illustration of pilot validation and staged enterprise patch deployment; not an official Microsoft screenshot.
  1. Complete an asset check. Confirm the versions and online status of Windows endpoints, servers, domain controllers, DNS servers, on-premises Exchange and remote-access systems.
  2. Create a representative pilot group. Validate drivers, VPN clients, printing, finance software and business-critical applications on a small set of devices first.
  3. Deploy in risk-based waves. Prioritize Windows devices affected by the exploited vulnerabilities, followed by internet-facing and identity-critical servers.
  4. Schedule maintenance and restarts. Notify employees and business owners before forced restarts interrupt meetings, open files or overnight workloads.
  5. Validate and track exceptions. Export compliance results, follow up on offline or failed devices, and document compensating controls for systems that must be deferred.
Why this matters: Enterprise security updates are not a single click. The full process is asset identification, risk prioritization, pilot validation, staged deployment, restart completion and exception follow-up. Speed matters when exploitation is already occurring. A deployment must also be controlled, traceable and verifiable. A stable patch cadence reduces emergency firefighting whenever a serious vulnerability appears.

Three things employees need to do

  • Do not install an “urgent patch” from an unfamiliar email link.
  • Save work and restart promptly when the company announces a maintenance window.
  • If a business application behaves abnormally after updating, record the time and error message and contact IT.

How Sinokap can help

Sinokap provides Microsoft 365, IT support, network and security, IT outsourcing, infrastructure and enterprise AI services. If your organization needs endpoint inventory, patch deployment, Microsoft environment maintenance or security-baseline reviews, contact Sinokap to discuss a practical approach.

Sources and further reading

This article reflects information available on September 9, 2026. Total vulnerability counts may differ between sources because of counting methodology.

Immersive Translate Plugin Hit by Major Security Flaw

September 5, 2025

Immersive Translate Plugin Hit by Major Security Flaw

E-Mail:

consulting@sinokap.com
Site Link:

https://it-support-china.com/
Share:
Youtube Weixin Bilibili

Recently, the widely praised browser translation plugin Immersive Translate has come under fire due to a major security vulnerability. The plugin’s web snapshot feature has led to large-scale leaks of sensitive user information to the public internet. Coupled with a previous controversial decision to restrict third-party APIs, the plugin is now facing both technical and trust crises.

Immersive Translate

Core of the Incident: A Security Disaster Triggered by the Web Snapshot Feature

The root cause of the vulnerability lies in the plugin’s web snapshot function.

1. Technical Flaw

This feature allows users to generate and share HTML files of web content, which are then uploaded to cloud storage. However, the storage was configured for public access without any permission controls. In other words, anyone with the link could directly access the files, and some of these links could even be indexed by search engines—completely exposing the data.

2. Shocking Data Exposure

According to reports from the tech community, the leaked information covered a wide range of sensitive data, including:

01. Personal privacy: ID numbers, addresses, resumes;

02. Business secrets: contracts, financial statements, project proposals;

03. Intellectual property: academic papers, research reports;

04. High-risk data: cryptocurrency seed phrases, API keys, and more.

Once exploited by malicious actors, the consequences of such data exposure could be immeasurable.

The Spark: Trust Crisis Triggered by Third-Party API Restrictions

In fact, even before this security vulnerability was exposed, Immersive Translate had already strained its relationship with its community due to a controversial decision.

1. The Controversial Decision

Malicious apps can steal and forward SMS content, leading to the exposure of bank verification codes and personal private information. Once this sensitive information is leaked, company secrets can also be compromised, potentially being used for telecom fraud, identity theft, and other criminal activities.

2. The Ironic Contrast

While the team justified the restriction under the banner of “privacy protection,” it was later exposed that the plugin itself was responsible for a massive data breach. This stark contrast shattered user trust, with critics accusing the developers of hypocrisy.

Official Response: Apologies Fail to Restore Reputation

After the crisis broke out, the development team quickly issued an apology, reversed its decision to restrict APIs, admitted that the move was made out of “anxiety under growth pressure,” and promised the plugin would “remain permanently open.” However, the response failed to quell user concerns:

01. Their explanation for the API restriction was seen as vague and misleading.

02. The response downplayed the core technical causes of the data breach and offered little in terms of remediation measures.

03. Members of the tech community pointed out that developers had already warned of unauthorized API key uploads before the incident, but these warnings were ignored until the vulnerability fully exploded.

Immersive Translate gained widespread popularity thanks to its ease of use and efficiency. But this security breach has dealt a severe blow to its credibility. In an era where information security is paramount, any feature designed for convenience must be built on the foundation of privacy protection. Otherwise, no matter how excellent the functionality, it risks losing user trust in an instant.

Sinokap IT Security Training

In past projects, Sinokap successfully helped numerous corporate clients identify and eliminate phishing emails and malware. These case studies highlight our expertise in addressing information security threats:

1. Phishing Email Prevention

We regularly assist clients in identifying and dealing with several network attacks caused by employees mistakenly opening phishing emails. Through rapid response and blocking of malicious links, we ensure that company data remains secure. Additionally, we provide phishing email recognition training for employees to reduce the occurrence of similar incidents in the future.

2. Malware-Affected Device Support and Security Training

Sinokap helps companies quickly clean infected devices, restoring normal business operations. We also conduct regular security drills and training to raise employee awareness of various cyberattacks.

Not only have we helped clients effectively respond to urgent security issues, but we also provide long-term information security solutions. Sinokap’s IT outsourcing services and information security expert team are always by your side, ensuring the safety of your business data and operations.

Sinokap IT Outsourcing Services: Enhancing Corporate Information Security

As an IT outsourcing provider certified in ISO27001 and ISO20000, Sinokap remains focused on both enterprise information security and employee user experience. We are dedicated to creating secure, stable technological environments for businesses and offering comprehensive IT support and security solutions across industries, including:

1. Comprehensive IT Outsourcing Solutions

From infrastructure to mobile management, we help businesses build a secure and stable digital environment.

2. Endpoint Security Management

 We support businesses in deploying specialized mobile device management, antivirus, and vulnerability scanning tools.

3. 24/7 Maintenance and Support

Following ITIL best practices, we monitor company networks and device statuses around the clock, addressing urgent issues immediately.

4. Recovery-Related IT Support After Security Incidents

In the event of a security breach, we provide immediate technical support and recovery solutions, minimizing further loss to the business.

5. Customized Training and Technical Support

Based on business needs, we offer regular security awareness training and technical guidance for employees.

If you have any questions regarding corporate network security or IT support, feel free to contact us to learn more about our professional IT outsourcing services.

Table of Contents

What We Provide
IT Outsourcing Service
Managed IT Service
IT Infrastructure Services
Office Move & Relocation
Network Optimization
VPN Service Support
Data Recovery & Erase
Server Management
Sinokap Tags
ChatGPT Chrome Cisco DNS Employee Training Free Tools IT Solution KDB Microsoft Network News OneDrive OneNote Online Meeting Outlook PC PDF XChange Editor Remote Work SharePoint Teams Technology Troubleshooting WeChat Windows Work Efficiency
How can we help you?

Call Us, Write Us, Or Knock On Our Door. We are here to help. Thanks for contacting us!

 

Contact Us
Recent Posts

LangChain— Build AI Agents Without Coding

July 25, 2025

LangChain— Build AI Agents Without Coding

E-Mail:

consulting@sinokap.com
Site Link:

https://it-support-china.com/
Share:
Youtube Weixin Bilibili

With the rapid development of artificial intelligence technology, intelligent agents are playing an increasingly important role in scenarios such as task automation, knowledge retrieval, and human-computer interaction. However, the construction threshold is high, which makes non-technical users discouraged. LangChain’s Open Agent Platform is an open source code-free platform that supports the creation and configuration of LangGraph agents through a graphical interface, integrates RAG, external tools and multi-agent collaboration, significantly reduces the difficulty of development, and promotes the popularization of intelligent agents.

The Open Agent Platform is an open-source project developed by LangChain, designed to provide a modern, web-based interface for users to build, configure, and interact with LangGraph agents through intuitive graphical operations.

Open Agent Platform

The core features of the OPA platform include:

1- Codeless creation of agents: configure agent behavior and structure through a web visual interface;

2- LangGraph integration: each agent is implemented based on LangGraph and has state management and process control capabilities;

3- Modular expansion: supports connecting external tools (such as MCP interface), document retrieval (RAG), multi-agent collaboration, etc.;

4- Completely open source: users can fork, deploy and deeply customize.

 

OAP provides a modern web operation interface, combined with the LangGraph architecture, allowing users to configure intelligent agents without writing code. It is suitable for a variety of users such as business analysts, product managers, and startup developers, and supports advanced developers to expand functions and customize deployment. In the official description of LangChain, OAP is called “an open source, code-free agent building platform that supports MCP tools, LangConnect RAG and multi-agent collaboration.

Technical architecture and core components

1. LangGraph-driven proxy model

LangGraph is an agent workflow orchestration framework provided by LangChain. It is responsible for building graph-structured task flows in OAP and implementing state management, branch control, long-term memory and other capabilities. Users can configure agent input and output, tool calls, conditional logic, etc. in the UI without programming.

 

1- State persistence: supports intermediate state recording (Checkpoint) in long-term tasks;

2- Flexible control flow: configurable single/multi-agent task flows, nested structures, etc.;

3- Strong ecological interoperability: easy to integrate with models, databases, APIs, etc.

2. Web App

The front end of OAP is a modern web application that provides an intuitive proxy management interface. Its main features include:

1- Proxy creation and configuration: Users can define the name, description, system prompt, etc. of the proxy by dragging or filling in the form.

2- Interactive debugging: Supports real-time interaction with the proxy, viewing output and adjusting configuration.

3- Visual workflow: Displays the workflow diagram of the proxy to help users understand the task execution path.

 

The web interface uses Supabase for authentication management, but its authentication module is designed to be pluggable, and users can easily replace it with Auth0, Firebase or other authentication providers. This flexibility ensures that OAP can adapt to different enterprise needs.

3. RAG System Integration (LangConnect)

OAP has built-in support for search-enhanced generation (RAG), which is achieved by connecting to the LangConnect server.

1- Supports uploading documents such as PDF and vectorized indexing (such as Pinecone);

2- When querying, first search for relevant fragments and then generate answers;

3- Standardized configuration process, support for graphical selection tools and prompt templates.

4. MCP tool integration capabilities

OAP can connect to MCP servers and support a wide range of third-party tool docking:

1- Web crawling (such as FireCrawl)

2- Social media interfaces (such as Twitter / LinkedIn)

File parsing (PDF, Excel, etc.)

3- Users only need to select and configure the corresponding tools in the UI to access complex functions.

 

The web interface uses Supabase for authentication management, but its authentication module is designed to be pluggable, and users can easily replace it with Auth0, Firebase or other authentication providers. This flexibility ensures that OAP can adapt to different enterprise needs.

5. Multi-agent collaboration and supervision mechanism

OAP supports coordinating the cooperation of multiple agents through the "Agent Supervisor" mechanism:

 

1- Intelligently schedule sub-agents to complete sub-tasks;

2- Display the intermediate tool call process to improve explainability;

3- Cross-agent collaborative execution based on RemoteGraph.

Core functions and usage scenarios

1. Core Features

1- Agent management: Create, configure, and interact with agents through a web interface, supporting real-time debugging and iteration.

2- RAG support: Integrate LangConnect to achieve enhanced generation capabilities for retrieving information from external knowledge bases.

3- Tool connection: Connect external tools through the MCP server to expand agent functionality.

4- Multi-agent collaboration: Enable multi-agent collaboration through agent supervisors, suitable for complex tasks.

5- Authentication and access control: Built-in authentication mechanism supports flexible permission management.

6- Open source and customizable: Users can fork the repository, modify the code, or deploy it to their own environment.

2. Usage scenarios

1- Rapid prototyping: Product managers or business analysts can use OAP to quickly build agent prototypes to verify business requirements. For example, create a RAG agent that extracts information from PDFs for contract analysis.

2- Automated workflows: Enterprises can use OAP to build automated agents, such as extracting messages from Slack channels and generating social media posts.

3- Multi-agent collaboration: In research scenarios, use a multi-agent architecture to handle different tasks in parallel, such as one agent responsible for data retrieval and another for report writing.

4- Education and training: Developers can use OAP to learn the principles of LangGraph and agent development, and use the visual interface to reduce the learning curve.

Sinokap IT Outsourcing Services: Enhancing Corporate Information Security

As an IT outsourcing provider certified in ISO27001 and ISO20000, Sinokap remains focused on both enterprise information security and employee user experience. We are dedicated to creating secure, stable technological environments for businesses and offering comprehensive IT support and security solutions across industries, including:

1. Comprehensive IT Outsourcing Solutions

From infrastructure to mobile management, we help businesses build a secure and stable digital environment.

2. Endpoint Security Management

 We support businesses in deploying specialized mobile device management, antivirus, and vulnerability scanning tools.

If you have any questions regarding corporate network security or IT support, feel free to contact us to learn more about our professional IT outsourcing services.

Table of Contents

What We Provide
IT Outsourcing Service
Managed IT Service
IT Infrastructure Services
Office Move & Relocation
Network Optimization
VPN Service Support
Data Recovery & Erase
Server Management
Sinokap Tags
ChatGPT Chrome Cisco DNS Employee Training Free Tools IT Solution KDB Microsoft Network News OneDrive OneNote Online Meeting Outlook PC PDF XChange Editor Remote Work SharePoint Teams Technology Troubleshooting WeChat Windows Work Efficiency
How can we help you?

Call Us, Write Us, Or Knock On Our Door. We are here to help. Thanks for contacting us!

 

Contact Us
Recent Posts

Can Mistral Small 3.1 shake the technical throne of Gemma 3?

July 22, 2025

Can Mistral Small 3.1 shake the technical throne of Gemma 3?

E-Mail:

consulting@sinokap.com
Site Link:

https://it-support-china.com/
Share:
Youtube Weixin Bilibili

In the competition in the field of AI, lightweight large models are gradually becoming the focus. Following the release of Gemma 3 by Google DeepMind, Mistral AI also made a strong debut with Mistral Small 3.1. This model, with 24 billion parameters, has quickly attracted industry attention due to its efficient architecture, multimodal capabilities, and open-source features. Mistral Small 3.1 has performed well in many authoritative benchmarks and even claims to have surpassed Gemma 3 and GPT-4o Mini. In the field of large models, parameter scale is not only an important indicator for measuring performance, but also determines the deployment flexibility and computing cost of the model in practical applications. Sinokap will use parameter comparison as a starting point, comprehensively analyze the core differences and competitive advantages of Mistral Small 3.1 and Gemma 3 in terms of technical architecture, performance, and ecological support.

Parameter scale comparison: 24B vs 27B, which one is smarter?

Mistral Small 3.1 (24B)

1-Context window: 128k tokens

2-Inference speed: 150 tokens/s

3-Hardware requirements: A single RTX 4090 or a Mac with 32GB RAM can run

4-Multimodal support: text + image

Gemma 3 (27B)

1-Context window: 96k tokens

2-Inference speed: about 120 tokens/s (based on community testing)

3-Hardware requirements: dual GPU or high-end server (A100 40GB) recommended

4-Multimodal support: text + some visual tasks

From the parameter point of view, Mistral Small 3.1 achieves a longer context window and higher inference speed with 24B, while the 27B version of Gemma 3 is slightly better in capacity, but has higher hardware requirements. The following chart can intuitively compare the parameters and performance of the two:

Mistral Small 3.1 achieves longer context windows and higher inference speed with 24B, while the 27B version of Gemma 3 is slightly better in capacity but has higher hardware requirements.

Technical highlights

The secrets behind the parameters

Mistral Small 3.1 has 24 billion parameters, supports multimodal input of text and images, and has the ability to process very long contexts. It relies on hybrid attention mechanisms and sparse matrix optimization techniques. These designs not only improve processing efficiency, but also enhance the generalization ability of the model in multimodal tasks. In comparison, the 27 billion parameter version of Gemma 3 focuses more on language and logical reasoning, and performs better in multi-language coverage (supporting 140+ languages) and professional tasks such as mathematics and code generation, but is slightly conservative in multimodal processing capabilities.

 

Hardware friendliness is another major difference. Mistral Small 3.1 can run on consumer devices, while the 27B version of Gemma 3 is more suitable for enterprise deployment. This difference stems from the parameter allocation strategy: Mistral tends to compress redundant layers, while Gemma retains more parameters to improve complex task capabilities.

Performance comparison

Can 24B beat 27B?

1-MMLU (comprehensive knowledge): Mistral Small 3.1 scored 81%, Gemma 3 27B scored about 79%

2-GPQA (question-answering ability): Mistral 24B leads, especially in low-latency scenarios

3-MATH (mathematical reasoning): Gemma 3 27B wins, thanks to more parameters supporting complex calculations

4-Multimodal tasks (MM-MT-Bench): Mistral 24B performs better, and image + text understanding is smoother

 

The following figure shows the performance comparison between the two (based on trend speculation):

Performance comparison

Ecosystem and Application

How to Implement Parameters

Mistral Small 3.1's 24B parameters are paired with an Apache 2.0 license, making it unparalleled in openness. Developers can fine-tune it locally to adapt to scenarios such as real-time conversations and intelligent customer service.

 

The 27B version of Gemma 3 is limited by Google's security terms and is more suitable for cloud deployment and professional applications (such as education and programming).

From parameters to applications, Mistral emphasizes efficiency, while Gemma focuses on depth. The lightweight 24B makes Mistral closer to independent developers, while the 27B Gemma serves resource-rich enterprises.

Industry impact and future: the meaning of the parameter dispute

Mistral Small 3.1 challenges 27B with 24B, showing the ultimate pursuit of parameter efficiency. This is not only a technical response to Gemma 3, but also a promotion of AI democratization. In the future, lightweight models will evolve towards lower parameters and higher efficiency. Mistral has taken the lead, and Gemma 3 may need to adjust its strategy to cope with it. Although Mistral Small 3.1’s 24B parameters are less than Gemma 3’s 27B, it has advantages in efficiency, multimodality and open source. It proves the possibility of “less is more”, while Gemma 3 uses its parameter advantage to defend the professional field. This parameter battle is not only a technical competition, but also a preview of the future of AI.

Sinokap IT Outsourcing Services: Enhancing Corporate Information Security

As a technology service provider that focuses on managed IT, network security and AI integration, Sinokap continues to pay attention to the cutting-edge development of global AI and digital technology, providing enterprises with one-stop services from IT outsourcing technical support, network operation and maintenance hosting, IT environment planning and implementation during the overall office relocation, to data center maintenance, cloud and hybrid cloud migration, network security reinforcement (Jumpserver bastion host audit, etc.), and AI integration, helping customers achieve the best balance between efficiency, cost and security.

At the same time, Sinokap also provides ChatGPT series practical training for enterprises: from Prompt Engineering to private deployment security strategy, covering the whole process guidance from entry to advanced. If your team wants to experience the latest big model first and master the implementation method, please send an email to consulting@sinokap.com to get in touch with us.  We look forward to working with you to maximize the value of AI.

Table of Contents

What We Provide
IT Outsourcing Service
Managed IT Service
IT Infrastructure Services
Office Move & Relocation
Network Optimization
VPN Service Support
Data Recovery & Erase
Server Management
Sinokap Tags
ChatGPT Chrome Cisco DNS Employee Training Free Tools IT Solution KDB Microsoft Network News OneDrive OneNote Online Meeting Outlook PC PDF XChange Editor Remote Work SharePoint Teams Technology Troubleshooting WeChat Windows Work Efficiency
How can we help you?

Call Us, Write Us, Or Knock On Our Door. We are here to help. Thanks for contacting us!

 

Contact Us
Recent Posts

How MCP, Agent, RAG, and Function Call Work Together？

July 21, 2025

How MCP, Agent, RAG, and Function Call Work Together？

E-Mail:

consulting@sinokap.com
Site Link:

https://it-support-china.com/
Share:
Youtube Weixin Bilibili

Large Language Models (LLMs) are all the rage today — they can write poems, chat, code, and seem capable of almost anything. But you may have noticed: sometimes they’re a bit “naively smart.” Ask for the weather, and it says “Based on my knowledge base…” — but can’t tell you today’s temperature. Ask it to organize local files, and it looks helpless.

This all stems from a fundamental “limitation” of LLMs: they’re like brilliant brains cut off from the outside world — knowledgeable, but unable to see or act. To truly make LLMs practical and reliable, the tech community has introduced a set of powerful tools: Agent, RAG (Retrieval-Augmented Generation), Function Call, and a rising star — MCP (Model Context Protocol).

Today, Sinokap will break down these four core concepts using plain language and vivid analogies — so you’ll understand how they work together to turn LLMs from “theoretical wizards” into “hands-on doers.”

Comparison of Core Frameworks

Comparison of Core Frameworks

1. Agent:

A goal-driven project manager — the “brain” of the operation.

2. RAG and Function Call

1-RAG is responsible for searching for information and finding evidence;

2-Function Call is responsible for executing specific operations and calling external APIs.

3. MCP

Committed to providing a standardized interface specification, so that Agent can access and use various tools more conveniently and uniformly (whether RAG functions or other tools implemented by Function Call).

Analysis of AI Core Capabilities

1. RAG: Give LLM a "data collection list"

RAG (Retrieval-Augmented Generation) is a technical framework that makes AI answers more reliable. Simply put, before AI answers questions, it first searches for (retrieval) relevant information in a designated database (such as internal company documents, the latest industry reports), and the answer is based on the latest, accurate, and specific facts to avoid "confident lying."

RAG (Retrieval-Augmented Generation)

2. Function Call

Function Call is a key feature of the Large Language Model (LLM), which allows the model to "request" external programs to assist in completing tasks in specific scenarios. Note that this is "request" rather than "personally executed", because LLM itself cannot actively access the network, query real-time data, or call the operating system.

 

With Function Call, LLM can issue call instructions like a commander to allow external tools to complete actions such as query, processing, or operation. For example, when you say "check the weather in Beijing today" to the smart speaker, the speaker itself does not have the ability to perceive the weather, but it will trigger a weather query application (i.e. a predefined function) to obtain data such as "sunny, 25 degrees", and then LLM will translate it into natural language to reply to you.

3. Agent: LLM becomes a universal executive

Agent is a more advanced and autonomous AI system. It uses LLM as its core "brain". It can not only understand your goals, but also think and plan steps by itself, and actively call tools (such as RAG and Function Call mentioned above) to perform tasks and interact with the external environment.

As a system, it can autonomously plan tasks → retrieve information → call functions → generate results.

 

Example:

Request: "Help me plan a business trip to Shanghai next week, book hotels and flights, and organize the itinerary." The Agent will complete the following operations by itself:

1-Plan subtasks

2-Use RAG to check company policies

3-Use Function Call to adjust flight and hotel APIs

4-Summarize the itinerary and return

4. MCP

MCP (Model Context Protocol) is a standard communication protocol proposed and open-sourced by Anthropic at the end of 2024. It aims to provide a unified interface specification for the interaction between AI applications (as clients) and external data sources or tools (as servers), enabling models to access and call external capabilities in a standardized way and simplify the integration process.

You can think of MCP as a "universal adapter" for AI to connect to external tools. Whether it is a local file, database, or online platforms such as Slack and GitHub, as long as they follow the MCP protocol, AI can deal with them directly without having to "relearn" every time.

 

Advantages:

1-Supports dynamic discovery tools

2-Easier to expand without changing the Agent end

3-Provides call permissions and security control

Sinokap IT Security Training

As a technology service provider specializing in managed IT, network security and AI integration, Sinokap continues to pay attention to the cutting-edge development of global AI and digital technologies.

ChatGPT series practical training

At the same time, Sinokap also provides ChatGPT series practical training for enterprises: from prompt engineering to private deployment security strategy, covering the whole process from entry to advanced guidance. If your team wants to experience the latest big model first and master the implementation method, please send an email to consulting@sinokap.com to contact us. We look forward to working with you to maximize the value of AI.

Table of Contents

What We Provide
IT Outsourcing Service
Managed IT Service
IT Infrastructure Services
Office Move & Relocation
Network Optimization
VPN Service Support
Data Recovery & Erase
Server Management
Sinokap Tags
ChatGPT Chrome Cisco DNS Employee Training Free Tools IT Solution KDB Microsoft Network News OneDrive OneNote Online Meeting Outlook PC PDF XChange Editor Remote Work SharePoint Teams Technology Troubleshooting WeChat Windows Work Efficiency
How can we help you?

Call Us, Write Us, Or Knock On Our Door. We are here to help. Thanks for contacting us!

 

Contact Us
Recent Posts

Openai Launches AI Agent Browser to Challenge Chrome

July 11, 2025

Openai Launches AI Agent Browser to Challenge Chrome

E-Mail:

consulting@sinokap.com
Site Link:

https://it-support-china.com/
Share:
Youtube Weixin Bilibili

As a technology service provider specializing in IT service management, cybersecurity, and AI solutions integration, Sinokap continuously monitors global AI trends and quickly transforms them into actionable, enterprise-level practices and insights. In this edition, we focus on OpenAI’s upcoming AI Agent Browser, analyzing its strategic intent and the potential impact it may have on the browser ecosystem, while outlining key opportunities and challenges for you.

According to an exclusive report from Reuters, citing three informed sources, OpenAI plans to release an AI-powered web browser within the next few weeks. This product is being seen as the “next big move after ChatGPT,” with its sights set on Google Chrome, which has over two-thirds of the global market share and 3 billion users. If OpenAI’s 500 million weekly active users of ChatGPT transition to using this browser, Google’s business model, which relies on Chrome for data collection and ad targeting, will face direct competition.

Core Selling Points: Turning "Chat" into a Browsing Gateway

A futuristic browser window where a friendly AI agent

1. Native Chat Interface

Some web interactions will take place within a ChatGPT-like interface, allowing users to obtain information or perform tasks without having to switch pages.

2. AI Agent Task Execution

The browser will deeply integrate OpenAI's Operator and DeepResearch capabilities, automatically completing tasks such as making restaurant reservations or filling out forms. This will truly upgrade "reading the web" to "doing tasks."

3. Based on Chromium

Two sources revealed that the new browser will use Google’s open-source Chromium engine, meaning it will be compatible with existing extensions while rethinking the user interface and functionality through AI.

Strategic Significance: Why Build Instead of a Plugin?

In short, OpenAI is building its own AI browser, rather than continuing with a ChatGPT plugin, because of “data sovereignty + experience closure.” Only by controlling the native data at the browser level can they continue to improve their agent models. By embedding “chat + action” deeply into the browser, users can complete tasks like ordering food or filling out forms with a single command, truly upgrading “browsing the web” to “getting things done.”

However, the road ahead is not easy—OpenAI must navigate two major barriers: a dominant giant like Google Chrome and a batch of emerging AI-driven browsers.

Browser Market Share Worldwide
Competitive LevelKey Moats / Selling PointsChallenges for OpenAI
Incumbent Giant (Google Chrome)

• Chrome generates about ¾ of its ad revenue from user data and search traffic

• High ecological lock-in with accounts, bookmarks, and extensions

• The challenge of migrating hundreds of millions of users while maintaining functionality

• Regulatory opportunities, but challenges to counter anti-trust developments

   
AI Upstarts (Perplexity Comet, Arc/Dia, Brave AI)• Targeting early innovators, quickly delivering AI summaries, side-panel helpers, and local privacy features• To win in “user experience” and “speed,” must beat competitors while avoiding early adopter churn

The OpenAI browser represents both an “entry rush” and a “data moat” strategy. To break into Chrome’s market gap, OpenAI needs to solve issues related to ecosystem migration and privacy compliance. Moreover, it must outperform AI competitors like Perplexity and Arc in terms of functionality depth and product pacing. The real key to success will be whether OpenAI can convince users that it’s not just about “viewing the web,” but about “making the web work for them.”

AI Agent + Browser = A New Trend?

Search engine with AI to improve and optimize data search. AI-enabled search engine and chat bar.

If ChatGPT made “search” conversational, the AI Agent Browser is set to make “browsing” a matter of a simple command—from retrieving information to directly completing tasks. For OpenAI, which aims to reshape the internet’s entry point, this presents an opportunity to reach the next billion users and a chance to directly compete with Google. In the coming weeks, the true form of the new browser, feedback from its tests, and the partner ecosystem will determine whether this “new browser war” can actually rewrite the industry landscape.

If you wish to stay ahead of the curve with the latest features of ChatGPT and other advanced models, or explore how AI can empower your company’s IT operations, customer support, and internal processes, Sinokap offers one-stop ChatGPT corporate training, application implementation consulting, and security compliance guidance.
Feel free to email us at consulting@sinokap.com and get in touch with our consulting team to begin your efficient, secure, and sustainable AI journey!

Table of Contents

What We Provide
IT Outsourcing Service
Managed IT Service
IT Infrastructure Services
Office Move & Relocation
Network Optimization
VPN Service Support
Data Recovery & Erase
Server Management
Sinokap Tags
ChatGPT Chrome Cisco DNS Employee Training Free Tools IT Solution KDB Microsoft Network News OneDrive OneNote Online Meeting Outlook PC PDF XChange Editor Remote Work SharePoint Teams Technology Troubleshooting WeChat Windows Work Efficiency
How can we help you?

Call Us, Write Us, Or Knock On Our Door. We are here to help. Thanks for contacting us!

 

Contact Us
Recent Posts

Secure Transfer Password with 4net | Self-Destruct Link

July 4, 2025

Secure Transfer Password with 4net | Self-Destruct Link

E-Mail:

consulting@sinokap.com
Site Link:

https://it-support-china.com/
Share:
Youtube Weixin Bilibili

In daily operations, whether it’s internal collaboration or external communication with clients, securely transmitting account credentials remains a vital part of IT practices. Sinokap has repeatedly stressed a fundamental rule: Never send both the account and password through the same transmission channel. Although the principle appears straightforward, it is frequently overlooked in real-world scenarios.

Today, we’d like to introduce a secure password sharing tool that requires no software installation and can be used directly via a web browser. Developed and operated by Swiss IT solution provider 4net, the tool complies with international privacy regulations such as GDPR. It enables the safe transmission of sensitive information through self-destructing temporary links.

Key Features of 4net

1. Multi-layered security

End-to-end encryption protects sensitive data from interception or unauthorized access. Additionally, encryption, auto-destruction, and expiration features work in parallel to significantly reduce the risk of data leakage.

2. Password generator

Instantly create strong, complex passwords to enhance your overall credential security.

3. Access limit control

You can specify how many times a link can be viewed, effectively preventing repeated malicious access.

4. Expiration timer

Set a validity period for each link in advance to ensure that passwords are only accessible during the intended time frame.

5. Multi-language support

Links can be displayed in different languages based on recipient preferences, making secure communication easier across global teams.

6. Self-destruction feature

Once the set number of views or time limit is reached, the system automatically deletes the link—preventing prolonged exposure of sensitive credentials.

Step-by-Step Instructions

1. Visit the Website

Go to https://password.4net.ch/ in your browser.

2. Enter a Password

Enter a strong password, or simply click the "Generate Password" button.

3. Set Link Parameters

- Days：Define how long the link will remain valid.

- Views：Limit the maximum number of times the link can be accessed.

- Check the boxes for “use a 1-click retrieval step” and “Allow immediate deletion.”

- Activate passphrase lockdown and enter a separate password to access the link.

4. Generate the Link

Click the “Push It!” button to generate a unique sharing link. This link will self-destruct once the time or view limit is reached.

5. Share the Link

Select a preferred language for the recipient, then copy and send the generated link.

Sinokap recommends sending the generated link through an encrypted communication channel—such as secure email or an encrypted messaging app—for maximum safety.

Recipient View Interface

Simplify password management. Strengthen data protection.

Sinokap specializes in information security and IT operations, with a strong focus on password protection and network defense. We not only deliver enterprise-grade encrypted transmission and real-time network security monitoring, but also empower teams through training sessions and video tutorials on practical password safety skills. For instance, we’ve created step-by-step video guides on topics such as setting complex passwords and securely storing them using KeePass and OneNote. These resources help you confidently master professional tools while managing both personal and corporate information assets more efficiently. If you’re interested, feel free to click the image or video below to start learning right away!

In addition to password security expertise, Sinokap offers a wide range of IT services, including infrastructure setup, data backup and disaster recovery, tech support, software development, and system optimization — designed to meet the diverse needs of both individuals and enterprises. Whether you’re looking to strengthen your organization’s password management policies or need comprehensive IT support, we can deliver efficient, reliable, and customized one-stop solutions tailored to your goals. Feel free to contact us anytime — Sinokap is here to be your trusted partner in IT security and support.

Table of Contents

What We Provide
IT Outsourcing Service
Managed IT Service
IT Infrastructure Services
Office Move & Relocation
Network Optimization
VPN Service Support
Data Recovery & Erase
Server Management
Sinokap Tags
ChatGPT Chrome Cisco DNS Employee Training Free Tools IT Solution KDB Microsoft Network News OneDrive OneNote Online Meeting Outlook PC PDF XChange Editor Remote Work SharePoint Teams Technology Troubleshooting WeChat Windows Work Efficiency
How can we help you?

Call Us, Write Us, Or Knock On Our Door. We are here to help. Thanks for contacting us!

 

Contact Us
Recent Posts

Agentic AI Ultimate Guide: 5-Step Deployment Plan

June 26, 2025

Agentic AI Ultimate Guide: 5-Step Deployment Plan

E-Mail:

consulting@sinokap.com
Site Link:

https://it-support-china.com/
Share:
Youtube Weixin Bilibili

Sinokap is a professional IT outsourcing service provider that has earned dual certifications: ISO/IEC 27001:2013 Information Security Management System and ISO/IEC 20000-1:2018 Information Technology Service Management System. With years of experience in the field of corporate information security and IT support, Sinokap has built a strong reputation for providing secure and reliable solutions.

U.S. AI company Moveworks has released The Ultimate Agentic AI Guide: 100+ Real-World Use Cases of Agentic AI for the Enterprise. The report shows enterprises are rapidly embracing AI: by 2024, 72 % of organizations were already using or piloting the technology. As AI enters a new stage of intelligent automation, Agentic AI has evolved from a “supporting tool” into an active participant capable of executing tasks autonomously and continuously optimizing processes.

More than 100 successful deployments are highlighted, spanning ten major functions—HR, IT operations, engineering, sales, finance, customer service, legal, facilities, marketing, and cross-departmental collaboration—demonstrating Agentic AI’s vast potential to raise efficiency and drive scalable operations.

What is Agentic AI?

Agentic AI refers to AI systems given explicit goals that can plan, act, and iterate on their own. Instead of merely generating content, they work like “digital agents”: they observe their environment, call external tools, self-evaluate in multi-step loops, and finish complex tasks without waiting for human instructions at every step.

A.Core Characteristics

  1. Goal-driven with long-term memory – Tracks context and progress until objectives are reached.
  2. Autonomous planning & decomposition – Can break “write a security audit report” into research → outline → draft chapters → cross-check sub-tasks.
  3. Action interfaces – Executes real actions via APIs, RPA, shell scripts, browsers, or internal systems instead of just outputting text.
  4. Self-reflection loop – Evaluates results each cycle, adjusting strategy to reduce cascaded errors or hallucinations.
  5. Composable multi-agent teams – Complex scenarios often employ specialized agents (research, code compilation, audit checking, etc.) working together.

B.Key Difference from Generative AI

Generative AI excels at producing content; Agentic AI works like a digital employee—it generates, plans, and executes the job through to completion.

C.Typical Use-Case Snapshot

Example: “One-Click Onboarding Butler”
Imagine you’re an HR manager and new hire Lily starts today. Previously you sent 5 emails and worked in 3 systems to set up accounts, equipment, and training. Now a single Agentic AI does it all:

Summary:

1.Universal “new-hire assistant” – You type “New hire arrived,” and it gathers data, issues instructions, and sends reminders.

2.No coding required – HR drags a low-code flow: Account → Equipment → Training; APIs and permission checks run behind the scenes.

3.Transparent results – Every action, system call, and timestamp is recorded in audit logs for compliance.

Agentic AI = “Set goal → Plan → Act → Report results.” It turns repetitive, time-consuming work from human bottleneck into lights-out automation.

D.Representative Agentic AI Solutions

Why has Agentic AI suddenly surged in popularity?

– LLM reasoning + tool-calling have matured (e.g., GPT-4o function calling, Gemini 2.5 Actions), extending AI from “talking” to “doing.”

– Automation ROI pressure – Under cost-reduction mandates, Agentic AI closes loops that once required multiple human hand-offs.

– Exploding open-source ecosystem – Frameworks like LangGraph and Reflexion let developers build and iterate multi-agent systems quickly.

How should enterprises deploy Agentic AI?

A.100 + Enterprise Use Cases

The report catalogs over a hundred Agentic AI deployments across HR, IT, engineering, sales, finance, legal, facilities, marketing, and more.

B.Risks & Implementation Notes

The table below offers a quick reference to the key risks that may arise when deploying Agentic AI and the corresponding control measures.

C.Five-Step Launch Plan

1. Identify “repeat-task” entry points

- List the most common, highly standardized, rule-based tasks in your workflows.

- Typical examples: IT password resets and VPN troubleshooting; HR onboarding guides and leave requests; Finance expense approvals and invoice matching.

- These tasks are labor-intensive yet low in value density—ideal for quick Agentic AI wins.

2. Choose the right “foundation” platform

- Select a solution that integrates seamlessly with existing systems (Salesforce, Workday, ServiceNow, Slack, etc.) and provides solid APIs, permission controls, and security.

- The deeper the integration, the easier it is for agents to operate across departments and data sources.

3. Build role-specific agents

- Use visual or low-code tools to create agents for each business function:

- Finance agent → PO matching, expense reminders, contract renewals.

- Support agent → Multilingual replies, sentiment detection, feedback capture.

- Focus on mapping and redesigning processes, not deep AI coding.

4. Let the AI “learn while working”

- Establish a closed feedback loop: collect satisfaction, completion, and error rates, and regularly fine-tune behaviors and language models.

- Every interaction becomes training data, so each agent improves with usage.

5. Fortify security and compliance

- Enforce least-privilege access, full auditing, and traceable logs for operations involving employee data, contracts, payroll, etc.

- Embed GDPR, CCPA, and other regulatory requirements at design time to ensure compliance from deployment through operations.

Key takeaway:

Start with high-frequency, standardized tasks, deploy on an easily integrated platform, then refine via continual learning and strict governance—until Agentic AI becomes a trusted digital colleague.

Summary

Agentic AI—with its think-plan-act-reflect loop—is the crucial step from generative chatbots to AI that delivers real business value. Assess whether your current LLM setup is just “chatting” or already “doing,” and chart your IT automation and security roadmap accordingly.

Sinokap brings extensive experience in evaluating and integrating large models, offering end-to-end services from model selection and on-prem deployment to business integration.

Our ChatGPT Application Training Program is being updated to include o3-Pro’s latest features and use cases—empowering business teams, developers, and AI enthusiasts to go beyond the hype and truly harness AI for productivity.Sinokap offers end-to-end consulting, implementation and training that cover network infrastructure, automated operations and AI-driven process redesign. Email our consultants at consulting@sinokap.com and start the next chapter of intelligent collaboration.

U.S. AI company Moveworks has released The Ultimate Agentic AI Guide: 100+ Real-World Use Cases of Agentic AI for the Enterprise. The report shows enterprises are rapidly embracing AI: by 2024, 72 % of organizations were already using or piloting the technology. As AI enters a new stage of intelligent automation, Agentic AI has evolved from a “supporting tool” into an active participant capable of executing tasks autonomously and continuously optimizing processes.

More than 100 successful deployments are highlighted, spanning ten major functions—HR, IT operations, engineering, sales, finance, customer service, legal, facilities, marketing, and cross-departmental collaboration—demonstrating Agentic AI’s vast potential to raise efficiency and drive scalable operations.

Table of Contents

What We Provide
IT Outsourcing Service
Managed IT Service
IT Infrastructure Services
Office Move & Relocation
Network Optimization
VPN Service Support
Data Recovery & Erase
Server Management
Sinokap Tags
ChatGPT Chrome Cisco DNS Employee Training Free Tools IT Solution KDB Microsoft Network News OneDrive OneNote Online Meeting Outlook PC PDF XChange Editor Remote Work SharePoint Teams Technology Troubleshooting WeChat Windows Work Efficiency
How can we help you?

Call Us, Write Us, Or Knock On Our Door. We are here to help. Thanks for contacting us!

 

Contact Us
Recent Posts