Hold out-of-policy actions before they run — on the path agents already use.
Not a separate review step. Not SIEM triage hours later.
Your SOC gets the decision, the reason, and an exportable record — without slowing the fleet.
Rules you own and audit — not abstract AI safety labels.
Each gate maps to how your org actually runs agents in production.
Untrusted content cannot reach payments, email, or other high-risk actions.
Taint tracking (provenance labels) stays scoped — downstream tools only see what policy allows.
Block scrape-then-shell and read-then-publish sequences your team worries about.
Order enforcement complements per-tool mandates.
Monitor agent-to-agent messaging for exfil patterns.
Workloads with sensitive data cannot route through internet-facing agents without explicit approval — exfil patterns stop at the bus.
Decision records are built for CISO and SOC review — plain English, same shape as your command center. What was attempted, which gate held, and the audit outcome. No tool codes in the headline.
More held decisions on the policy decisions page — mandate scope, memory tiers, injection, and cross-agent containment.
All policy decisionsOpen a run: timeline, action flow, and tamper-evident audit record.
See what executed — and what policy stopped before it could.
Storyline: Exfil pattern contained at bus. No external publish.
Hash-chained decision log — each hop from human to agent to tool is recorded. Compliance and audit teams export JSON, not screenshots assembled after the fact.
Splunk, Datadog, and structured JSON export for existing SOC workflows.
Inline checks on the enforcement path.
Full pipeline with optional LLM judge for edge cases.
Confidence from independent signals, not one classifier score.
Structural, statistical, and semantic layers stack so your team can review why policy held.
Layers 1–3 ship in the open source SDK.
Most stacks stop at one model score. Agentic Glass composes independent methods — so held decisions carry corroborating signals your reviewers can trust.
Eval F1 on synthetic corpus; hot path latency on benchmark harness. Contact us for methodology and benchmark details.
Enforcement sits on the same fabric as who the agent is and what it may retrieve. Explore held decisions or talk with us about deployment on your stack.