AI is spreading across your organization, from employee tools to agents. Without visibility into what’s used and built, risk becomes invisible and difficult to control.
AI Is Moving From Language To Action. Are You Ready?
See what recent attacks revealed and how to secure agents in 2026.
AI is spreading across the organization, but visibility isn’t keeping up. Security teams lack a clear view of what exists, how it’s used, and where risk emerges.
Employees are using AI tools you can’t see.
Result
AI usage expands beyond security oversight.
AI agents are being created outside security processes.
Result
Autonomous systems operate without visibility or governance.
Organizations lack a complete view of their AI environment.
Result
Security teams can’t assess AI risk holistically.
Traditional tools weren’t built for AI.
Result
Critical AI risk goes unseen.
AI visibility isn’t just about discovering tools or creating an inventory. It’s about understanding how AI is used, how systems behave, and how risk moves across your organization.
Gain complete visibility into AI across your organization—including which tools are in use and how they’re used in practice. Understand user activity in real time, including what information is entered, how tools are applied, and the intent behind each interaction.
Bring Visibility, Governance, and Protection Together for Every AI Interaction
Maintain a complete and continuously updated inventory of AI systems across your organization, including applications, agents, and in-house developments created by builders and engineering teams. Understand what exists, who owns it, and how it connects to data sources, tools, APIs, and MCP servers. This unified view ensures every system is visible, accountable, and governed.
Gain visibility into how AI systems behave, what actions they take, and how they interact with data and external services. Understand interactions such as prompts, responses, and system activity, alongside configurations, such as permissions, credentials, and integrations. This context reveals how risk is introduced, how it moves across systems, and where it can escalate.
CHECK POINT RELATED PRODUCTS/SOLUTIONS
Shadow AI bypasses security controls, exposes sensitive data to unvetted models, and creates blind spots across the AI attack surface. Employees may paste confidential information into unsanctioned chatbots, while developers deploy agents with broad permission and no oversight – leaving organizations exposed to data leakage, compliance violations, and unmanaged AI behavior.
Organizations need visibility in both AI usage and AI systems. Effective AI discovery continuously identifies applications, agents, tools, APIs, and integrations across the organization, helping security teams maintain an accurate inventory and assess risk before it becomes exposure.
Unmanaged AI agents expose organizations to unauthorized data access, autonomous actions across connected systems, prompt injection attacks, credential abuse, and untraceable chained behavior between agents. Without visibility into agent configurations and connections, these risks compound silently across the AI attack surface.
Traditional tools were built for predictable software with static inputs and permissions. AI agents interpret language, act autonomously, and connect dynamically to tools, APIs, and MCP servers. Securing them requires monitoring prompts, behavior, configurations, and integrations – context that conventional security tools cannot see.
Effective AI governance starts with visibility — knowing every AI tool, agent, and interaction across the organization. With continuous discovery, behavior monitoring, and risk context, security teams can enable safe AI adoption, enforce policy where it matters, and intervene only when real risk emerges — instead of blocking AI broadly and pushing usage further into the shadows.
