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CrowdStrike Falcon Guardian

Secure AI agents everywhere they operate

Discover shadow AI, enforce governance policy, detect threats and stop rogue agents across every AI control point.

New from Fal.Con Europe

AI agents don't just answer. They execute.


AI now spans employees, applications, and autonomous agents. As adoption expands, security teams need visibility and control over how AI is used and what AI actually does at runtime.

AI adoption is difficult to see and control

Employees adopt agents and developers deploy agents in the cloud faster than security teams can inventory, assess, and govern them.
Agent behavior is difficult to investigate

Security teams struggle to connect agent activity, runtime actions, and downstream impact.
AI threats are difficult to detect and stop

Threats like prompt injection and risky behavior like accessing sensitive files can unfold faster than security teams can detect and respond.

See and control agents across the enterprise


Falcon Guardian secures employee use of AI, enterprise-developed AI, and autonomous agents across endpoint, SaaS, and cloud.

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Discover agents

Find known and shadow AI agents across endpoint, SaaS, and cloud. Understand what they were asked to do and what they actually did at runtime.


Enforce governance

Protect data, manage token usage, and control what employees and agents do across the AI ecosystem.


Stop rogue agents

Detect risky and malicious behavior and rapidly contain rogue agents with an AI kill switch.

CrowdStrike’s architectural advantage


CrowdStrike unifies three critical layers of AI agent security: OS-level runtime visibility, endpoint network inspection, and agent-level enforcement. CrowdStrike Agent Graph connects these layers to show what AI was asked to do and what actually happened.

See what agents actually execute

The Falcon Sensor provides deep OS-level visibility into the processes, files, and resources agents access and execute.
Inspect AI communications on the endpoint

Endpoint network inspection provides visibility and enforcement across AI communications entering and leaving the endpoint.
Enforce policy directly inside agents

Agent-level hooks inspect AI interactions and enforce policy directly within supported agents.

Secure AI agents from discovery to response

 

Discover endpoint agents


Discover shadow AI, agents, applications, models, MCP servers, skills, and tools. Understand what is in use, who is using it, and where unmanaged risk exists.

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Extend coverage to the cloud


Coming soon: discover agents across cloud workloads, Linux, Kubernetes, and managed AI platforms, extending visibility beyond the endpoint.

Understand what agents actually do


CrowdStrike Agent Graph makes agent behavior explainable by connecting what AI was asked to do with what actually happened at runtime across identities, tools, resources, and more. Trace agent actions and understand their impact for faster investigation and response.

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Detect agent insider threats


Falcon Guardian, powered by SafeMind models, detects attacks on AI agents. And coming soon, establish behavioral baselines for users and agents with Falcon Next-Gen SIEM to identify deviations that may signal a rogue or compromised agent.

Enforce AI governance policy


Use hooks to inspect AI interactions and enforce policy directly inside supported agents such as Claude Code, OpenAI Codex, GitHub Copilot, OpenCode, and Cursor. Endpoint Network Inspection adds traffic-level controls, while the Falcon sensor extends control to runtime on the endpoint.

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Centralize control with Guardian’s AI gateway


Extend centralized policy and enforcement across AI traffic with an AI gateway, providing another control point for applications and agents accessing models and services.

Stop rogue agents with an AI kill switch


Rapidly cut off access to designated AI models and providers through centralized gateway enforcement. And coming soon, kill switch enforcement at the gateway by agent type.

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See CrowdStrike Falcon Guardian in action
 

Customer Stories

Falcon Guardian gives us a way to understand AI usage and build policy around sensitive prompts, unapproved tools, and AI-related risks.”
Kevin Neo, Head of Technology & Platform Solutions
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The visibility was insane… We can still provide data protections against the prompts and make sure our proprietary data remains private.”
Mike Blache, CISO
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We want to allow AI usage, but appropriate AI usage… Agents are like teenagers. They have guidance and guardrails, but they don’t always adhere to them.”
Jim Boyer, Director of Cybersecurity and AI
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Interactive challenge

AI Unlocked: Agents of Chaos

Agents are the insider risk you never onboarded. Test your skills in this AI security challenge.

 

Latest innovations from

Fal.Con 2026 Logo
CrowdStrike Advances AI Security and Safety from Endpoint to Cloud
Introducing AI Kill Switch: Taking Control When AI Agents Go Rogue
Introducing threat hunting and managed detection and response for Falcon Guardian

Featured Resources

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AIDR: Defining the Next Era of Cybersecurity

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Falcon Guardian Data Sheet

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Taxonomy of Prompt Injection Methods

Secure AI from adoption to action

Gain the visibility, control, and protection to adopt AI with confidence and keep it secure and safe.

Falcon Guardian FAQs

Falcon Guardian is the flagship AIDR solution for securing AI from adoption to action. It helps organizations discover and govern AI use, understand and explain what AI agents actually do, protect AI interactions and sensitive data, and detect and respond to AI-specific threats.

AIDR is a cybersecurity category for discovering, governing, and securing AI systems and activity. AIDR brings together AI visibility, interaction and network protection, runtime security, investigation, and response to help organizations understand how AI is used, detect AI-specific threats and risky behavior, and respond before they create broader impact.

Falcon Guardian secures AI agents across employee use and enterprise-developed AI. It provides visibility and governance across AI activity, protects supported AI interactions and sensitive data, and adds runtime context to help security teams understand and respond to risky or malicious AI behavior.

CrowdStrike Agent Graph is the relational data foundation in Falcon Guardian that connects AI activity with the surrounding runtime and security context. It helps security teams understand what AI was asked to do, what actually happened, and the impact of those actions by linking agent activity with identities, tools, resources, and downstream events.

Shadow AI is AI use or deployment that operates outside an organization’s visibility or control. Falcon Guardian helps uncover unmanaged AI activity, including employee AI use and AI agents, so security teams can understand what is in use, who is using it, and where risk may exist. Falcon Guardian also helps apply governance and security controls to reduce unmanaged AI risk.

Falcon Guardian detects prompt injection and other AI-specific attacks, powered by SafeMind. SafeMind is CrowdStrike's family of frontier AI security models and harnesses, built on CrowdStrike telemetry and threat intelligence, and purpose-built to reverse the AI-enabled adversary advantage.

Falcon Guardian identifies sensitive data in supported AI interactions and applies policy-based controls to help prevent inappropriate exposure. This helps organizations protect sensitive information while enabling legitimate AI use.

An AI kill switch is a centralized response control that cuts off access to designated AI models and providers through gateway enforcement, helping security teams rapidly intervene when agent activity becomes compromised, manipulated, or dangerous.

Falcon Guardian is extending AIDR across Linux, cloud workloads, Kubernetes, and managed AI platforms (coming soon). CrowdStrike Agent Graph connects what AI was asked to do with what actually happened across workloads, identities, tools, and resources.

Traditional endpoint security protects against threats at the host and process level. Falcon Guardian adds AI-specific context across interactions, communications, agents, and runtime activity, helping security teams understand how AI activity connects to downstream execution, investigate what happened, and respond to AI-specific threats and risky behavior.