Discover
Assess existing applications, dependencies, database configurations, and agent-generated code with methods appropriate to each asset.
Output: a scoped finding
AI for Defense / Gensee
Find the weakness.
Prove the fix.
Put AI to work discovering vulnerabilities, developing repairs, and building the evidence to move a fix forward with confidence.
Design partner program · Help shape the discovery-to-repair workflow
The workflow we’re building
From a finding
to a defensible change.
Start with your existing findings or a scoped discovery task. Keep evidence connected through every step.
Validate
Reproduce the issue where possible. Identify affected versions, exposure, and the evidence supporting its priority.
Output: a reproducible case
Repair
Develop a bounded code fix, compatible dependency update, or configuration change with explicit scope.
Output: a reviewable change
Verify
Test the exact candidate for the security issue and regressions. Keep deployment behind the appropriate approval.
Output: evidence for a decision
AI for Defense in practice
From a difficult finding
to a reviewable fix.
Explore the situations your teams face, what can go wrong, and how Gensee can help.
A shared foundation
Autonomy needs
an architecture.
The same discipline that governs an agent’s work can govern an agent’s defense: understand the action, bound its authority, verify the result.
Connect actions
to their evidence.
Bring together supported agent reports, system observations, policy context, and outcomes. Keep the source and its limits visible.
Give the operation
the authority it needs.
Scope resources and temporary permissions. Isolate exploration and control consequential changes at the relevant boundary.
Make the result
earn your trust.
Check the exact output, inspect the evidence, and promote accepted changes. Keep a record of what was authorized and what happened.
Shape it with us
Bring one difficult
security problem.
For security teams
Explore discovery and remediation on a scoped application, dependency, or configuration problem. Define what useful evidence and a successful outcome look like.
- Use existing scanner findings or agree on a discovery scope
- Review reproducibility, severity, and remaining uncertainty
- Measure accepted fixes and analyst effort
For engineering teams
Keep ownership of the code and the release. Test proposed changes against the behavior your application must preserve.
- Use isolated environments and representative tests
- Inspect exact changes and regression evidence
- Keep merge and deployment decisions under your control
AI for Defense is a design partner initiative. Discovery coverage and repair feasibility depend on the target, access, and available validation. We agree on scope and success criteria before an evaluation.
Let’s put it to work
Bring the problem.
Build the evidence.
See Gensee in action, or help shape what comes next. Start with the work your people and agents actually do.