Integrations
Plug AgenticAssure into the stack you already run
Bring your judge LLM, your dev tools, your alerting, your evidence vault. 5 workflow integrations, 4 protocol gateways, 4 LLM providers: 13 connection points, all live.
Findings flow into the tools your team already uses
Every integration below is live in the platform today, not planned, not beta.
Deepgram
Realtime voice transcription powering the chat command center. Sub-300ms streaming via short-lived scoped token. Master key never leaves the server.
GitHub
Link repositories for scan context and automated PR comments. Security findings surface directly in your pull request workflow.
Jira
Open tickets automatically from critical findings. Every severity-Critical and High finding can land as a Jira issue without human intervention.
Slack
Send alerts and digest summaries to a channel of your choice. Drift regressions, SLA breaches, and weekly posture summaries, all routable.
Webhook
POST events to your own endpoint. Full event envelope: actor, org_id, resource, severity, timestamp, so your SIEM or SOAR can act immediately.
Governance at the protocol layer
Four gateways enforce policy on agent-to-agent, agent-to-tool, and agent-to-memory traffic. Every call logged, every violation caught, every delegation verified.
Protocol-level enforcement for Model Context Protocol traffic.
Inspect, audit, and enforce policy on every MCP call between your agents and tools. Kill Switch-ready.
Agent-to-Agent communication under governance.
Delegation grants, identity verification, and runtime feed logging for inter-agent traffic.
Agent Communication Protocol enforcement.
Structured agent messaging with policy gates and tamper-evident logging at the protocol layer.
Govern what your agents remember.
Enforce retention, redaction, and access controls on agent long-term memory stores.
All four protocol gateways feed the Runtime Feed and immutable audit log.
Your judge. Your keys. Your fallback chain.
The judge LLM that grades every test response is entirely under your control. Bring your own API keys for any combination of the four supported providers. Configure a multi-provider fallback chain: if the primary provider is unreachable, the next runs automatically, with no gap in your assurance coverage.
mTLS + custom headers are supported for on-premise and private cloud deployments. Per-provider reachability and last-scan timestamp are visible in the Settings panel, so you always know which judge is active.
OpenAI
GPT-4, GPT-4o, GPT-5 and derivatives. BYO API key. First in the default fallback chain.
Anthropic
Claude 4 family. BYO API key. Refusal-aware calibration handles Claude's safety posture correctly.
Google Gemini
Gemini 3. BYO API key. Full parity with other frontier providers in the fallback chain.
Ollama (local)
Air-gapped and on-premise model testing. Run your judge locally: master key never leaves your infrastructure.
Editable prompts. Irrevocable history.
Every judge prompt template is editable in the platform. Two default judges ship with the platform: Generic LLM Judge and Safety Refusal Judge. You can modify either or create your own.
Every change is recorded immutably in the audit log and anchored to the blockchain before it takes effect. Old and new versions are preserved with editor, timestamp, and hash. No silent rewrites, no plausible-deniability edits.
For auditors and regulators, this means the judging methodology used to produce any historical test result can be reconstructed exactly, even if the prompt has since been changed.
Ingest from your existing infra, without rearchitecting it
The Discover module builds your AI estate inventory by ingesting from existing infrastructure via Connectors. AI Systems, AI Agents, Tools, MCP Servers, and Data Sources are catalogued automatically. No manual inventory. No stale spreadsheet.
Connectors feed the Identity Graph, Shadow Agent detection, Estate Geo, and Compliance Fingerprint: the live surfaces that tell you what you actually have deployed and how exposed it is.
Discover moduleTrust layer for enterprise AI