One governance layer. Every team.
Guard enforces the same policy across every AI agent your team runs. How you configure that policy depends on your role, your industry, and what keeps you up at night.
Engineering leaders
Policy personas per team, spend hard-stops, and a CI gate that blocks non-compliant commits. Ship AI-assisted code without becoming the incident report.
Security and compliance
SHA-256 hash-chained audit log, PII screening, credential leak detection. Everything a SOC2 auditor or CISO needs without a custom integration.
Security Loop
Closed loop from scan to defect to autopilot fix to PR. Guard enforces scope at every step — the loop does not escape its boundaries.
Action governance
Approval gates as first-class workflow blocks. Human sovereignty enforced before destructive or irreversible actions — not logged after.
Memory hardening
Guard policies applied to agent memory reads and writes. Prevent prompt injection via poisoned context, not just poisoned prompts.
Okta and Conduct
Okta issues identity. Conduct governs what that identity can do at runtime. The two layers are complementary, not redundant.
Financial services
Agent governance for regulated environments — spend controls, data residency policies, and audit trails designed for financial compliance teams.
Life sciences
Guard policies for clinical data handling, PII screening aligned to HIPAA patterns, and audit trails that meet FDA 21 CFR Part 11 requirements.
What Guard does not protect (yet).
We publish our threat model openly — credentials in executor memory, no egress allowlist, no pre-install static analysis on third-party playbooks. Read the gaps and our plan for each.