Phase 4 · Autonomous Agentic Trust Layer

The Pre-Action Gate for Autonomous AI Agents.

Quad-AI intercepts an autonomous agent's proposed action, runs four leading models in parallel, and returns a greenlight, block, or escalate verdict in seconds — with a hash-verified audit bundle.

Every autonomous agent has to be approved before it acts, governed while it acts, and audited after it acts. Quad-AI is the only production-deployed system that covers all three moments at runtime — with native adapters for the agent frameworks every Tier-1 buyer is already using.

Claude Opus 4.51.5×
Gemini 2.51.3×
GPT-5.11.2×
Sonar Pro1.1×
The Three Moments of Agentic Trust

Before. During. After.

Single-vendor guardrails only see one moment. The Quad-AI agentic trust layer governs the whole action lifecycle, with cryptographic chain of custody binding every verdict to the action that follows.

01
Before · Pre-Action

Intercept the proposed action

The agent's tool call is parsed by net-new action-payload introspection logic. Verb, target, parameters, calling-agent scope, and risk-relevant fields are extracted before execution.

  • Action-payload introspection
  • Domain-weighted routing (legal / finance / ops / marketing)
  • Risk tier auto-inferred when not provided
02
During · Consensus

Four providers run in parallel

Claude Opus 4.5, Gemini 2.5, GPT-5.1, and Sonar Pro evaluate the action concurrently. The adversarial verifier mesh kicks in on high-risk actions. Greenlight / block / escalate with a dissent register.

  • Adversarial verifier mesh (high-risk path)
  • Fail-closed default — quorum failure escalates
  • Per-tenant policy thresholds
03
After · Audit

Hash-verified chain of custody

Every verdict produces a SHA-256 audit bundle: proposed action, verdict, recommended modification, escalation route, dissent register, and an append-only downstream-action hash chain binding the bundle to the action eventually taken.

  • SHA-256 payload, verdict, and bundle hashes
  • Append-only chain link survives downstream binding
  • Posture aligns to SR 11-7 / NAIC / FDA AI/ML SaMD in production deployments
Live Demo · Real Engine · No Login

Pick a Proposed Agent Action. Watch the Engine Decide.

Each scenario below is a real agent tool-call payload. Click one, then run a verdict. The pre-action gate, the four-provider consensus, and the audit bundle are all real and live — not staged. Latency varies by risk tier.

Multi-tenant isolation: Switch the tenant dropdown below to run as a different buyer. Every audit bundle is keyed to its owning tenant. Use the Run Cross-Tenant Isolation Probe button after any verdict to prove that a buyer in tenant_b cannot read tenant_a's audit bundle — the owner request returns 200, the intruder request returns 404 (not 403 — no existence leak).

Selected scenario
— select a scenario above —
Run as tenant

Public sandbox · do not submit real PII, customer data, or production credentials. All scenarios above use synthetic data.

1
Before
Action introspection
Parse the agent's tool-call payload. Extract verb, target, parameters, scope, and risk-relevant fields.
2
During
Four-provider consensus
Run all four leading models in parallel. Weighted by department.
Claude
Gemini
GPT-5.1
Sonar
3
After
Verdict + audit bundle
Greenlight / block / escalate. SHA-256 hash-verified bundle generated and stored.
Pick a scenario above, then click Run Pre-Action Gate to see a live verdict.
Native Framework Adapters

Plugs Directly Into the Agent Frameworks
Every Tier-1 Buyer Already Uses.

One integration. Three of the most-used agent frameworks in production. The adapters translate framework-native payloads into the pre-action gate without custom wiring.

Anthropic Open Standard

Model Context Protocol

Native adapter for MCP tool-call envelopes. Any MCP-compliant agent — across the entire Anthropic ecosystem — can call Quad-AI as a pre-action gate with no custom wiring.

POST /api/ai/adapters/mcp
OpenAI

Assistants API

Pre-action gate fires between the assistant's tool-call decision and the actual function execution. Drop-in for any Assistants-API-based agent in production.

POST /api/ai/adapters/openai-assistants
Anthropic

Computer Use

Higher-throughput adapter for action streams. Risk-tier-based sampling: low-risk actions (screenshot, mouse-move) clear on the fast path; high-risk actions get the full pipeline.

POST /api/ai/adapters/computer-use
BAA-ready HIPAA posture in production with Fortune 100 healthcare payors (named under NDA). Cloud-agnostic — AWS, Azure, GCP, or on-prem.
SHA-256
Hash-verified audit
SR 11-7
MRM-ready audit trail · production
HIPAA
BAA · Fortune 100 payors · production
4-Cloud
AWS / Azure / GCP / on-prem

Public sandbox note. Audit bundles generated on this page are SHA-256 hash-verified and held in ephemeral in-memory sandbox storage (non-durable). Production deployments use durable, immutable audit storage with tenant-administered chain-of-custody binding. Per-tenant policy and downstream-action binding endpoints are admin-gated and available under private integration agreement.