Problem & risk
Every millisecond matters on hot paths. You need predictable overhead, clear failure modes, and patterns that fit banking cores, industrial gateways, and edge robotics controllers alike.
Integration architecture
TrigGuard integrates as a gateway on the execution path: lightweight SDKs, HTTP APIs, and policy bundles managed like code, so SRE and platform teams can roll out safely.
Every millisecond matters on hot paths. You need predictable overhead, clear failure modes, and patterns that fit banking cores, industrial gateways, and edge robotics controllers alike.
Architecture reviews often ask for trust boundaries and data minimization. TrigGuard receipts and separation of duties support those narratives.
Learn more →Use the execution API for synchronous decisions, SDKs for in-process enforcement, and policy sync from Git for deterministic rollouts.
Benchmark pack →First-class support for modern stacks.
Deterministic deployments with GitOps.
Built-in visibility for SRE and platform teams.
No PERMIT, no execution. No ambiguity.
Integration points
Choose the pattern that matches your architecture and risk profile: sidecar at the mesh edge, inline library in agent runtimes, or a standalone gateway for OT and industrial buses.
Enforce at the network boundary with low-latency local decisions and centralized policy.
Embed the SDK in-process for minimal latency and maximal context awareness.
Use dedicated adapters for industrial buses and legacy systems.
Execution surfaces
Map release gates, gateways, and agent runtimes to the same PERMIT / DENY / SILENCE semantics and signed evidence model.
Pipelines that mutate production should require authorization before execution. Pre-execution authorization matches how teams already think about blast radius.
Terraform and Kubernetes apply hooks are execution surfaces. Fail-closed defaults ensure denied plans never execute.
Align edge policy semantics with agent/runtime authorization via the policy enforcement engine.
Bind repeatable decisions to policy versions for high-risk scheduled jobs with deterministic authorization.
Control tool access, escalation, and cross-tenant boundaries with AI agent safety controls.
Pair automation with AI decision verification so responders trust what executed.
Next steps
Review architecture and integration approach with the team that ships the execution gateway.
Request reviewProfile workloads and optimize deployment posture for your latency targets.
Book workshopRun a pilot in a safe environment with your team before production rollout.
Start pilot