Governance for
AI agents.

Behavry sits inline on every AI agent tool call. Identity verified. Policy evaluated. Data scanned. Decision traced. Before execution — not after.

Behavry dashboard — live activity feed with allow, deny, and escalate decisions
Live governance data from demo.behavry.ai
--Decisions Evaluated
--Agents Governed
--Policies Enforced
--Blocks (30d)
--Interceptions (30d)
0Bypasses

Deploy AI broadly.
Govern it structurally.

Your agents are running. Behavry makes sure they're governed — with identity, policy, and data protection on every action.

Enforce before execution

Every MCP tool call passes through the Behavry proxy. OPA/Rego policies evaluate identity, action, and resource. 26 DLP patterns scan for secrets. Inbound responses scanned for injected instructions. All before the action reaches the target.

MCP Governance →

See every AI surface

11 MCP clients. 6 API proxies. 12 browser services. 7 vibe-coding platforms. 30 SaaS platforms discoverable via IdP and admin API connectors. If AI is running in your environment, Behavry finds it.

Integrations →

Prove what happened

The Decision Trace is a causal chain-of-custody artifact — every action linked by parent event, causal depth, and delegation chain. SHA-256 hash-chained. Immutable. Producible only from an inline execution-path position.

The Unattested Agent →

Allow. Deny. Intercept.

Most governance is binary. Production reality demands a third state. High-risk actions need human judgment, not automation.

Allow

Proceed with evidence
Agent:     data-analyst-primary
Tool:      database.query
Risk:      LOW (0.18)
Decision:  ALLOW
Evidence:  SHA-256 recorded

The tool call is permitted. Execution proceeds. The decision and full context are recorded as a Decision Trace record.

Deny

Block before execution
Agent:     eng-doc-generator
Tool:      filesystem.write
Risk:      CRITICAL
Policy:    deny_write_prod_fs
Decision:  DENY

The tool call is forbidden. The MCP request never reaches the target server. The denial, reason, and triggering policy are recorded.

Intercept

Hold for human approval
Agent:     sec-incident-responder
Tool:      github.delete_repo
Risk:      CRITICAL
Decision:  INTERCEPT
Status:    Pending human approval

Execution is paused. A human reviewer approves or rejects in the dashboard. The full chain of custody is recorded.

Built for what's happening now.

Every capability maps to a documented threat class. These aren't theoretical — they're published research from the organizations defining the field.

CSA AI Safety Initiative · March 2026

Promptware turns agents into C2 infrastructure

Multi-agent command-and-control via prompt injection. Agents from different vendors enrolled in a unified C2 network. Behavry's inline proxy breaks the channel before it forms.

CSA AI Safety Initiative · March 2026

Confused deputy attacks on autonomous agents

Credential delegation amplifies prompt injection into full system compromise. A single GitHub issue title backdoored 4,000 machines. Behavry's agent identity and policy enforcement prevents authority inheritance.

CSA AI Safety Initiative · March 2026

Browser AI phishing via reasoning intercept

Adversarial web content hijacks agent decisions while the agent narrates confident justifications. Behavry's inbound scanner detects injected instructions before they reach agent context.

CSA AI Safety Initiative · March 2026

Safety testing induces persistent behavioral drift

Repeated adversarial testing pushed an agent into refusing its own core duties — with fabricated policy justifications. Behavry's behavioral baselining detects degradation the agent itself cannot.

Ship AI to production.
We'll govern it.

Your CISO gets accountability. Your board gets oversight. Your team gets to ship.

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