Non-deterministic by design
Agents can hallucinate, lose context, misread instructions, or simply make mistakes — no bad intent required for a bad outcome.
Safeguard runtime.
Set your ambitions free.
Bluebear secures AI agents at the point of execution, providing real-time visibility and control mapped to user intent.
With Bluebear, the future is safe to imagine.
The endpoint has a new kind of actor
Coding agents improvise.
Can your security controls keep up?
Traditional applications operate within capabilities designed in advance.
Agents decide behavior mid-task, writing code, installing packages, and calling tools they were not explicitly built to perform.
A target for bad actors
Prompt injection, poisoned dependencies, and malicious add-ons can turn a helpful agent into an attacker's hands inside the perimeter.
They act as the developer
Whatever the cause, agent actions execute with the developer's inherited access to code, secrets, and systems.
Product capabilities
A control plane where the work happens.
Bluebear wraps every agent session on the developer endpoint, applying policy at the moment of execution. Routine work runs uninterrupted, while consequential actions are flagged for Human-In-the-Loop review, ensuring safety in autonomous workflows.
Scoped execution
Agents run in environments scoped to the task instead of inheriting the developer's full permissions.
Contextual enforcement
Higher-impact actions are checked against policy, runtime context, and the user's mandate — then allowed, scoped, redirected, reviewed, or blocked.
Runtime visibility
Commands, file access, tool calls, packages, and network activity — attributed to agent and task with a full evidence trail.
Ephemeral access
Secrets, credentials, and production systems stay outside the boundary until dynamic access is justified.
Continuous improvement
Runtime evidence improves policy over time — less friction for approved work, stronger protection where it matters.
MCP & integration governance
Skills, MCP servers, plugins, and connected tools are linked to the sessions and actions they influence.
Closing the mandate gap.
Today’s controls were built for software with fixed permissions, not for agents that decide at runtime how to reach a goal. Bluebear evaluates each action against the intent behind the task, across the whole session, and steps in when an agent drifts beyond what it was asked to do.
Value across the organization
Safe autonomy without slowing the team.
Security leaders
Say yes to agent adoption. Enforce policy before high-impact actions, protect credentials and sensitive environments, and keep audit-ready runtime evidence.
Engineering teams
Standardize how agents run. Consolidate scattered agent rules into one control plane, surface shadow AI across every endpoint, and keep useful work moving.
Developers
Stay in flow. Run agents at full autonomy, review only the actions that genuinely matter, and spend less time undoing agent mistakes.
Works where developers work
Supported agent
ecosystems
From the blog
Latest articles
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Research The Librarian Who Refused to Code
We gave AI models fictional identities. Then the AI reviewing our research got a little too involved.
Read more
Research The tool blocked it, but the agent kept going.
An MCP tool denied a production change, so the control looked like it worked. The agent switched to Bash and made the same change anyway. A block on one tool does not prove the action is blocked.
Read more
Ready to start securing your AI agents?
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