Agent Security
Complete security for the agentic lifecycle
Secure enterprise-built and third-party AI agents from development to deployment to runtime.
New from Fal.Con 2026
AI agents create entirely new risks
Agents expand software supply chain risk
Coding agents use open-source packages at scale, expanding exposure to poisoned dependencies.
Agents are the insider threat you never onboarded
AI agents act on behalf of users, execute code, access systems, and move sensitive data, with no one watching.
Agents face novel runtime attacks
Prompt injection and poisoned tools can hijack agent behavior, turning trusted actions into attacks.
Secure the AI agent lifecycle
Securing agentic AI requires continuous visibility, identity controls, and runtime protection.
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Discover your agentic estate
Discover known and shadow AI agents across endpoints, cloud and SaaS. See where they run, who deployed them, and what risks they introduce.
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Detect and respond at runtime
Monitor AI activity where it executes to understand agent behavior and detect threats or policy violations. Determine the agentic blast radius and automatically contain compromised agents.
See Falcon Guardian in action
Featured Resources
FAQs
AI agent security protects autonomous AI systems across their lifecycle, from discovery and development through identity, access, runtime behavior, and response. It requires continuous controls to establish trust, limit access, understand downstream actions, and stop threats.
AI agents can turn instructions into real actions across files, identities, applications, networks, and other enterprise resources. Discovery and governance help reduce risk, but runtime security provides the context to understand what an agent actually does as it executes and responds when activity becomes malicious or unsafe. Falcon Guardian connects AI activity with endpoint execution to establish context from prompt to runtime impact.
AI agents face threats such as direct and indirect prompt injection, malicious or compromised tools and packages, sensitive data exposure, unauthorized access, and compromised agent behavior. Effective AI agent security combines AI-specific threat protection with visibility into agent activity, identity context, and downstream execution.
AI chatbots primarily generate responses, while AI agents can use tools, access enterprise resources, and take actions autonomously on behalf of users. AI agent security therefore requires controls that extend beyond prompts and responses to agent access, runtime behavior, and downstream execution.
AI agents can act autonomously across multiple systems and on behalf of users or workloads. Establishing a trusted agent identity helps organizations determine which agents should be authorized, control their access, and maintain accountability for the actions they take.
Coding agents can rapidly download and use open-source packages to complete development tasks. A poisoned package can contain malicious scripts that execute during installation, making real-time protection at the endpoint critical before compromised code can run.
*NO PURCHASE NECESSARY TO PARTICIPATE OR WIN. Challenge begins 8/31/26 at 5:00 p.m. PT and ends 9/29/26 at 11:59 p.m. PT. Must be at least age of majority in jurisdiction of residence to participate. Void in select jurisdictions & where prohibited. See full Official Rules, which govern, for complete details.
