AI Governance for Agentic Systems. Self-hosted. No SaaS dependency.
Enterprise AI Security
The AI governance layer for production agentic systems.
Deploy Guard, private trust stores, and decision logging entirely in your infrastructure. No external network calls. No data egress. Full AI governance control.
Enterprise AI Security Infrastructure
Everything you need to secure and govern agentic AI at scale
Self-hosted everything
Guard, trust store, and decision logs run entirely in your infrastructure. No external network calls for runtime enforcement.
Custom policy rules
Define accept/reject rules tied to badge levels, agent attributes, or endpoint metadata. Block non-compliant calls at the boundary.
Private trust store
Host your own key registry. Manage agent identities within your network. No SaaS dependency for trust anchors.
SIEM/APM integration
Structured logs export to Datadog, Splunk, or OpenTelemetry. Full decision audit trail for compliance and incident response.
Direct engineering access
Slack/Signal channel with core engineering. Joint architecture reviews. Priority issue resolution.
Roadmap influence
Your requirements shape upcoming features. Direct input on registry, policy, and observability capabilities.
Why enterprises need boundary enforcement
Standard SaaS security tools were not built for autonomous agents that talk to each other.
Your IAM doesn't cover agent-to-agent calls
Okta and AWS IAM handle user sessions. But when billing-agent calls ledger-agent, who verifies the caller? Guard does.
Your API gateway doesn't check payload integrity
Kong and Envoy handle routing and rate limiting. They don't verify that the request body wasn't modified in transit. Guard does.
Your logs don't answer “which agent did this?”
During an incident, you need to trace which agent initiated which action. Guard logs verified agent identity on every request.
Agent Trust Sprint
Get production-ready in 2 weeks with hands-on deployment support
What We Deliver in 2 Weeks
Week 1: Discovery & Deploy
- Inventory critical agent flowsMap which agents call which tools, with what data
- Deploy Guard to 1–2 high-risk endpointsStart with endpoints touching money or customer data
- Generate and distribute key pairsEd25519 keys for each agent identity
Week 2: Wire & Document
- Wire logs to your SIEM/APMDatadog, Splunk, or OpenTelemetry export configured
- Define key rotation processRunbook for rotating compromised or expiring keys
- Produce audit-ready reportDocument: threat model, controls deployed, gaps remaining
What you walk away with:
Built for Security Questionnaires
When your security team asks "how do you secure agent-to-agent communication?", you'll have answers.
Cryptographic Controls
- Ed25519 signatures (RFC 8032)
- SHA-256 payload hashing
- No symmetric secrets at rest
Data Residency
- Self-hosted option: zero egress
- No payload content in logs
- Air-gapped deployment supported
Audit Trail
- Every decision logged with agent ID
- Structured JSON for SIEM ingest
- Configurable retention (7d–custom)
Security questionnaire ready
We can provide architecture diagrams, threat models, and control documentation for your vendor security review.
Is this for you?
You have agents touching money
Billing agents, payment processors, ledger writers. Unauthorized calls can move real money.
You have agents touching customer data
Support agents, data pipelines, analytics workers. PII exposure is a compliance incident.
You have agents with production admin access
Deployment agents, infrastructure automation, config managers. Unauthorized changes can take down systems.
You need to answer “which agent did this?”
Regulators, auditors, and incident responders need verified attribution, not just log timestamps.
Book Your Agent Trust Sprint
$15k–$25k · 2 weeks · Audit-ready output
50% of your sprint fee credits toward an annual subscription.
Frequently Asked Questions
Everything you need to know