Let's skip the introduction. If you're here, you probably already know why you need to secure your autonomous agents.
We do autonomous agent security through behavioral intelligence, where we learn each agent, its history, context, paths, and plausible next moves, and build a continuously evolving spectrum around it: wide enough for all legitimate behavior, tight enough to expose and kill what isn't.
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You need all three. That's why we built Arrakis.
82%
of agents carry at least one exposure.
20%
of agents can delegate work to another agent.
70%
of agents can reach sensitive systems.
Source: 2026 Autonomous Agents Threat Report.
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Arrakis scans each agent's structure, permissions, tools, and metadata every hour, even for agents that never run.
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Arrakis continuously monitors each agent's actions in real time to detect deviations from defined rules and policies.
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You can't put a policy on behavior that's different every time. Arrakis builds a living model of each agent from its own history and context: how it got there, and what it hasn't done yet but reasonably could.
*Arrakis can kill the action at any time.
An autonomous agent can use different ways to complete the same task: different reasoning, different tools, different order. That's normal.
Arrakis Labs — our dedicated research arm — publishes its findings in The Arrakis Chronicles, documenting real-world attacks, novel threat vectors, and emerging risks in autonomous AI systems.
Read the research