Secure every employee interaction with AI

Workforce AI Security provides a comprehensive overview of how employees use AI tools, the data they input into them, and the associated risks. It automatically detects both approved and unapproved AI applications, protects sensitive information, and enforces security policies in real time without hindering productivity or innovation.

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Make the most of AI without compromising corporate data

Generative AI accelerates workflows, content creation, data analysis, and software development. However, without central oversight, employees may inadvertently share personal data, login credentials, source code, financial information, or internal documents with external AI services.

Workforce AI Security delivers unified cybersecurity for AI applications, browser extensions, desktop tools, SaaS integrations, developer assistants, and tools connected via the Model Context Protocol (MCP). This enables organizations to gain control over AI without the need for a blanket ban on its use.

We are joining forces with cybersecurity leaders

Our solutions leverage technologies from Check Point, a global leader in cybersecurity. Workforce AI Security integrates visibility, risk assessment, data protection, and policy management into a single platform, enabling you to adopt AI securely and systematically.

How Workforce AI Security strengthens your organization's security

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A comprehensive overview of AI usage

Discover all AI tools used within the company—both approved applications and "shadow AI" previously unknown to the security team. Gain insights into users, applications, sessions, usage trends, and risk levels.

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Protection of sensitive data in prompts

Workforce AI Security analyzes the content and context of AI-related communications. It can identify personal data, login credentials, financial information, source code, and other sensitive data before they are transmitted outside the organization.

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Security rules based on application and user

Set varying levels of protection based on the specific AI application, user group, data type, or usage scenario. This ensures security aligns with the actual needs of individual teams and job roles.

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Real-time protection

Risky activity is not merely recorded after an incident occurs; the solution can immediately block a dangerous action, restrict content copying, halt file uploads, or automatically redact sensitive information.

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Shadow AI monitoring

Identify AI tools that employees have started using without IT department approval. You will gain the insights needed to decide which applications to allow, restrict, or block entirely.

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Contextual AI analysis

Traditional DLP solutions often evaluate individual words or data patterns without understanding the user's intent. Workforce AI Security analyzes the prompt context, data sensitivity, and the purpose of the interaction to more accurately distinguish between legitimate work and risky behavior.

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Security and Compliance Support

Audit logs and customizable reports help demonstrate how the organization manages AI usage and protects sensitive information. The solution supports requirements related to data privacy, internal data governance, and AI regulation.

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Easy to deploy

Workforce AI Security can be deployed via existing endpoint management tools. Security policies are then applied automatically, without the need for local configuration by the user.

AI security without slowing down productivity

Workforce AI Security helps strike a balance between innovation and organizational protection. Employees can continue to harness the potential of generative AI, while the security team gains control over applications, data, and risky activities.

Discover the AI ​​tools used

Gain visibility into both approved and unapproved applications and eliminate blind spots associated with shadow AI.

Assess the risks.

Evaluate AI applications and user sessions based on data sensitivity, usage patterns, and organizational security requirements.

Set the rules

Define flexible policies for individual applications, users, work teams, data types, and specific AI scenarios.

Stop dangerous actions.

Block or modify risky interactions in real-time using contextual protection and AI-powered DLP.

Unified protection for the entire AI work environment

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100 %

Visibility of AI applications in use

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4 levels of protection

Discovery, assessment, management, and protection

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In real time

Review of prompts, files, and user actions

Connect with experts in the security of IT infrastructure, business data, and corporate applications

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Features for the safe use of AI in the company

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Central management of AI applications

From a single interface, you can view AI applications, user counts, interaction volumes, risk events, and adoption trends. The application catalog also allows you to examine tools that employees are not yet using.

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User intent analysis

The analysis identifies the purpose for which the employee uses the tool—for example, marketing, legal work, programming, code debugging, email communication, or working with internal data.

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Contextual data protection

The solution does not merely assess the presence of specific terms. It evaluates the entire context of the prompt, the type of information, the application being used, and the organization's security policies.

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Automatic redaction of sensitive data

Sensitive information can be automatically removed or replaced with marked placeholder text before being sent. This allows the employee to continue working without sharing protected data.

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File copying and uploading control

Configure which AI applications users can copy content to or upload documents, images, and other files to. Rules can be customized based on the application, the user, and the data category.

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Interactive user notifications

When performing a high-risk task, an employee can receive a clear warning explaining why a particular step might be dangerous. In this way, safety becomes not merely a matter of prohibition but also part of ongoing training.

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Protection of AI tools for developers

Monitor the use of AI assistants in integrated development environments and reduce the risk of sharing source code, authentication credentials, or technical documentation.

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Management of SaaS integrations and MCP

Managing SaaS Integrations and MCP Gain visibility into AI features integrated into SaaS platforms and tools communicating via MCP. Define rules for connections between AI tools, corporate resources, and external services.

A comprehensive overview of AI activities in your organization

Workforce AI Security shows you which AI tools employees are using, who is using them, what information is being entered, and the risks associated with specific interactions.

A detailed view at the application, user, and session levels helps the security team detect risky behavior, adjust policies, and respond in a targeted manner without unnecessarily restricting the entire organization.

Gain control over AI usage before a sensitive data leak occurs

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Risks you bring under control with Workforce AI Security

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Leak of sensitive information

Prevent personal data, financial information, source code, trade secrets, or login credentials from reaching external AI services.

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Shadow AI

Uncover unauthorized applications, extensions, desktop tools, and developer assistants used without the IT department's knowledge.

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Insufficient oversight of AI applications

Replace blanket bans with detailed rules based on application, user, data type, and work scenario.

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Unintentional violation of the rules

Warn the user before they perform a risky action and offer a safer way to complete the task.

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Risky document uploading

Monitor files and other content sent to AI tools and block the transmission of protected information.

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Invisible AI features in SaaS

Identify the use of AI embedded in corporate SaaS applications and ensure consistent policies across the environment.

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High-risk developer tools

Reduce the likelihood of source code, API keys, or system information ending up in unauthorized AI assistants.

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Insufficient auditability

Maintain records of AI activities and safety decisions for the purposes of internal audit, incident investigation, and compliance.

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Ineffective traditional DLP

Augment static rules with context and intent analysis that better understands natural language and conversational prompts.

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Uncontrolled AI agents and MCP connections

Limit risky connections between AI tools, agents, external integrations, and enterprise resources.

Safety rules tailored to each team

Marketing, development, finance, HR, and legal departments all use AI in different ways. Workforce AI Security allows you to set rules based on job role, department, application, and the sensitivity of the data being processed.

Instead of a single, blanket ban, you create a security framework that enables employees to leverage AI where it adds value, while simultaneously restricting activities that pose an undue risk.

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Segments

Protect client data, financial statements, payment information, and internal analyses from inadvertent sharing with AI tools.

Prevent the leakage of technical documentation, manufacturing processes, trade secrets, and supply chain information.

Oversee the handling of patient data, research results, medical records, and other highly sensitive information.

Protect confidential documents, client information, and content subject to professional secrecy.

Safeguard the personal data of candidates and employees when using AI for recruitment, resume screening, or drafting internal communications.

Monitor the use of coding assistants and prevent the sharing of source code, API keys, passwords, and infrastructure information.

Protect customer data, pricing strategies, business analytics, and order information.

Gain oversight of AI usage when handling personal, administrative, and confidential data.

Prevent the sharing of technical data, operational information, and documentation of critical systems with unauthorized AI services.

ANASOFT specialists in the secure implementation of AI

At ANASOFT, we combine expertise in cybersecurity, data protection, and enterprise IT infrastructure. We help you analyze AI usage, design security policies, and implement solutions that support both productivity and your organization's requirements.

Analysis of the AI ​​landscape

We identify the AI ​​applications in use, potential sources of shadow AI, sensitive data flows, and the highest-risk work scenarios.

Drafting of security policies

We will design rules based on user groups, applications, data types, and internal security requirements.

Integration into existing infrastructure

We will ensure the deployment of the solution and its integration into existing endpoint management and security processes.

Optimization of protection

We continuously evaluate security incidents, adjust rules, and minimize false alarms without compromising the level of protection.

We can also assist you with other cybersecurity solutions

Next generation firewall (NGFW)

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Secure Access Service Edge (SASE)

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Data Loss Prevention (DLP)

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Security Information and Event Management (SIEM)

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