Pilot Early Access
Runtime Governance for AI Agents
Runtime Governance for AI Agents
Just-in-time access. Instant risk detection. Enterprise security that runs as fast as your agents.
Piloting
with enterprises valued at
$
M+
Piloting
with enterprises valued at
$
M+
Why Agendex Exists?
Agents don’t behave like human users.
They act toward a goal, not with enterprise intent or restraint.
Agents don’t behave like human users.
They act toward a goal, not with enterprise intent or restraint.
Intent ≠ Capability
Agents act to achieve goals rather than follow contextual enterprise intent or organisational constraints.
Intent ≠ Capability
Agents act to achieve goals rather than follow contextual enterprise intent or organisational constraints.
Broad Permissions Create Risk
IAM and RBAC grant static, role based access rather than per action, task specific permissions.
Broad Permissions Create Risk
IAM and RBAC grant static, role based access rather than per action, task specific permissions.
No Real-Time Decisions
Traditional systems can log actions, but they can’t decide whether an action should execute.
No Real-Time Decisions
Traditional systems can log actions, but they can’t decide whether an action should execute.
What Agendex Provides
What Agendex Provides
FAQ
FAQ
Frequently Asked Questions
What does Agendex do?
Agendex governs AI agents at runtime. It decides — per action — what agents are allowed to do before execution.
How is this different from monitoring tools?
Monitoring records actions after they happen. Agendex enforces allow/block decisions in real time.
Will this work with my existing agents?
Yes — Agendex is framework- and model-agnostic. It sits between agents and systems without architectural changes.
Can I deploy Agendex without changing production workflows?
Yes. Agendex can be deployed in Shadow Mode to observe live agent behavior, see what actions would be allowed or blocked, and validate governance policies without changing production workflows.
Why isn’t IAM or RBAC enough?
IAM grants static, role-based access. Agents need dynamic, task-scoped decisions for every action they take.
Why does this matter for enterprises long-term?
Agents will outpace human oversight. Runtime governance is what makes large-scale agent deployment safe.
What does Agendex do?
Agendex governs AI agents at runtime. It decides — per action — what agents are allowed to do before execution.
How is this different from monitoring tools?
Monitoring records actions after they happen. Agendex enforces allow/block decisions in real time.
Will this work with my existing agents?
Yes — Agendex is framework- and model-agnostic. It sits between agents and systems without architectural changes.
Can I deploy Agendex without changing production workflows?
Yes. Agendex can be deployed in Shadow Mode to observe live agent behavior, see what actions would be allowed or blocked, and validate governance policies without changing production workflows.
Why isn’t IAM or RBAC enough?
IAM grants static, role-based access. Agents need dynamic, task-scoped decisions for every action they take.
Why does this matter for enterprises long-term?
Agents will outpace human oversight. Runtime governance is what makes large-scale agent deployment safe.
Agendex turns autonomous agents from a liability into a governed enterprise asset.
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