Understand intent
Preserve the request and relevant context so later actions can be understood as part of one evolving task.
Gensee
Control for AI work
Scale AI autonomy without scaling blind trust.
Gensee evaluates the capabilities AI requests, grants narrowly scoped authority, mediates privileged effects, and records what actually happened—so autonomy can expand without relying on blind trust.
Scoperequested capabilities
Grantnarrow authority
Mediateprivileged effects
Verifyactual telemetry
Long-horizon contextFollow behavior across the full session
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Capability policyEvaluate requested privilege
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Mandatory mediationEnforce at runtime boundaries
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Ground-truth evidenceRecord actual system effects
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Long-horizon contextFollow behavior across the full session
·
Capability policyEvaluate requested privilege
·
Mandatory mediationEnforce at runtime boundaries
·
Ground-truth evidenceRecord actual system effects
·
Bounded authority by default
Autonomy works when authority stays bounded.
AI moves through requests, tools, files, commands, networks, and durable state. Gensee turns each requested privilege into an explicit, enforceable capability decision before it becomes a system effect.
Scope authority
Grant only the paths, identities, network reach, secrets, and external actions required for the operation.
Mediate effects
Enforce the decision at filesystem, network, identity, API, and execution boundaries where privileged work occurs.
Verify outcomes
Use observed telemetry and effect evidence—not a success claim—to determine what the operation actually changed.
The system is the security boundary
See what AI did—not only what it said.
Safety decisions become more useful when they include the system events produced across the whole task.
Beyond prompt filtering
Follow the path from request to tool call, command, file access, credential use, network activity, generated artifact, and later side effect.
Evidence before trust
Record capabilities used, files changed, network connections, external requests, secrets accessed, processes started, outputs proposed, and policy violations.
Gensee
Systems thinking for the AI era.
We build practical control infrastructure for AI operating across real developer and production environments.
Runtime visibilityTrace actions and system effects
Long-horizon reasoningConnect behavior across time
Capability controlKeep privilege narrow and revocable
Effect evidencePreserve provenance and replay
Research-backed engineering
Gensee is backed by systems research from UCSD and built by researchers and engineers working across AI infrastructure, operating systems, and security.
Control at the systems boundary
We focus on the point where model output becomes real activity—because that is where visibility, policy, mediation, and accountability become operational.
From intent to effect
Control the boundary where AI becomes action.
Apply policy where privileged effects occur and preserve the evidence needed to understand what actually happened.