DecisionGuard — Runtime Decision Authority for AI Agents
DecisionGuard is the Runtime Decision Authority (RDA) that makes it safe for AI agents to execute real-world actions. We sign actions, not sessions: every action an agent attempts is validated against policy, inspected for sensitive data, cryptographically signed, and bound to a specific intent before it is allowed to run.
Why runtime decision authority
Session-based trust breaks down the moment an autonomous agent starts taking actions on your behalf. A token that is valid for an hour can authorize thousands of unintended operations. DecisionGuard replaces broad session trust with per-action authority: each execution permit is single-use, deterministic, non-replayable, and tied to the exact operation it was issued for. This prevents command drift, lateral movement, and unintended execution across your tools and infrastructure.
How it works
When an agent proposes an action, DecisionGuard runs a deterministic rules engine with AI-assisted risk assessment to return a clear verdict: ALLOW, ALLOW_WITH_CONDITIONS, BLOCK, or REQUIRE_APPROVAL. Approved actions receive a cryptographically signed, tamper-evident execution permit. Every decision is recorded as auditable evidence, giving security and compliance teams a complete, verifiable record of what each agent was permitted to do and why.
Key capabilities
- Signed, single-use execution permits for every AI agent action
- Real-time verdict engine: ALLOW, ALLOW_WITH_CONDITIONS, BLOCK, REQUIRE_APPROVAL
- Command drift and lateral movement prevention
- PII and sensitive data inspection at execution time
- Deterministic rules engine with AI-assisted risk assessment
- Cryptographically signed, tamper-evident audit evidence
- On-prem hub relay execution via secure VPN tunnels
- Transparent MCP proxy mode for popular agent frameworks
- Agent behavioral trust intelligence and management
- Alignment with SOC 2, EU AI Act, NIS2, DORA, ISO 27001, and NIST AI RMF
Built for security and compliance teams
DecisionGuard gives governance, risk, and security teams the controls they need to safely adopt agentic AI in production. Multi-tenant governance, credential injection, and flexible integration through REST API, MCP, and SDKs let you enforce policy everywhere your agents operate—without slowing them down.