Before the agent acts, CAVRA decides.

The runtime authority layer for AI agents.

CAVRA governs AI-agent actions at the moment of risk: before code changes, shell commands, Git operations, MCP tool calls, CI/CD workflows, cloud operations, or infrastructure changes execute.

Pre-action
Decisions before execution
Evidence
Signed records and audit packets
AISPM
Runtime activity becomes posture
Live Runtime Intercept requires approval
agent: claude-code modify_iac target: iam/admin-role.tf
decision approval required controls: PROD_IAM_CHANGE, MCP_TRUST_CHECK

The category problem

AI agents are becoming operators. Your controls are still spectators.

CAVRA sits between agent intent and action. It evaluates policy, trust context, approval requirements, and evidence obligations before risky work touches code, cloud, identity, repositories, or production workflows.

Code writesBranch, file, dependency, and generated patch changes.
Shell executionCommands, scripts, package managers, and local secrets.
MCP toolsExternal systems, databases, tickets, browsers, and workflow tools.
Cloud changesIAM, Terraform, Kubernetes, CI/CD, and production environments.

What CAVRA does

Decide, enforce, prove, and assure.

01

Decide

Evaluate agent actions before execution using policy, context, and trust state.

02

Enforce

Allow, block, require approval, shadow, or attest based on risk and environment.

03

Prove

Generate signed evidence, audit records, control mappings, and reviewer context.

04

Assure

Convert runtime evidence into AISPM posture, findings, blockers, and reports.

Interactive Decision Simulator

Watch CAVRA evaluate an agent action.

Select an agent scenario and see the policy decision, evidence packet, and AISPM posture signal update together.

Decision packet block

          

AI Security Posture Management

CAVRA does not only discover risk. It creates control evidence at the moment of action.

Governed agents18
MCP trust coverage74%
Blocked risky actions42
Evidence freshness98%
Open exceptions3
Readiness blockers1

Product paths

One product model. Four clear paths.

CAVRA Community

Full self-hosted runtime governance product and public codebase.

Deploy Community

CAVRA Managed

Hosted tenant operations, live ingestion, reports, audit storage, upgrades, and support workflows.

Explore Managed

Enterprise Subscription

Commercial support, SLA, certified connectors, policy/compliance packs, and implementation help.

Talk to Us

Trial Access

Time-limited evaluator path for one guided proof-of-value use case.

Request Trial

CAVRA Managed

Managed CAVRA, operated for teams that need production trust without operating every backing service.

Onboard tenant Connect agents Configure policies Stream evidence Operate AISPM Deliver reports Review success

What we operate

Tenant onboarding, policy registry, dashboards, report delivery, audit storage, monitoring, upgrades, support handoff, and billing operations.

Deployment models

Managed, self-hosted Community with Enterprise Subscription, or hybrid where sensitive data remains customer-side.

Data handling

Evidence, connector metadata, retention, export, deletion, and tenant isolation are explicit operating boundaries.

Enterprise Subscription

Commercial support for serious AI-agent governance.

Support & SLA

Response targets, escalation, upgrade guidance, and release review.

Certified Connectors

GitHub, GitLab, Azure DevOps, SIEM, ITSM, ChatOps, cloud, and report providers.

Policy Packs

AI coding-agent controls, MCP trust, CI/CD, IaC, regulated release, and evidence readiness.

Compliance Packs

NIST AI RMF and OWASP GenAI/LLM risk mappings, plus audit evidence templates.

Implementation Services

Tenant design, policy design, connector setup, pilot launch, and readiness review.

Procurement Pack

Security questionnaire answers, architecture brief, data-handling brief, and trust docs.

Evidence Packet Explorer

Different readers, one control record.


        

Trust Center Preview

Built for security teams who ask where the data, credentials, and evidence live.

No public secretsCredentials, signing keys, SMTP passwords, and customer records stay out of public repos.
Tenant boundariesManaged and self-hosted deployments define evidence, policy, report, and connector isolation.
Connector credentialsUse deployment secret stores, rotation practices, and redacted delivery evidence.
Compliance mappingMap controls to NIST AI RMF and OWASP GenAI/LLM risks without overclaiming certification.

Choose your path

Different teams see different proof.

Resources

Buyer packet shelf.

Put an authority layer between AI agents and action.

Start with one governed agent, one workflow, and one evidence packet.