AI Risk Containment

Your AI agent just took an action. Can you defend it?

Agentic AI doesn't ask permission. It acts. Navedas is the layer between the action and the consequence — deterministic, traced, and defensible in the room where it matters.

CX Operations Financial Services Insurance Enterprise AI

The Problem: Agentic Risk at Scale

As enterprises move from "Chat" to "Agents," a rogue decision becomes a board-level liability. Safety layers are reactive. Governance is preventive.

Agent Autonomy Risk

Your AI agent decides to reverse a transaction, escalate a claim, or adjust limits — all without human approval. Guardrails catch it after.

Silent Hallucinations

AI misinterprets policy and takes an action that violates compliance, security, or SLAs. Detection is delayed and manual.

Policy Gaps

When an AI decision causes harm, you have logs but no reasoning chain. Regulators demand proof that the decision was justified at the time.

The Solution: The Inference-Time Interceptor

A logic gate between AI inference and action. Every AI output is checked against the Context Graph before it reaches the customer.

Built on US Patent 11,748,414

The Context Graph

Your SOPs and tribal knowledge become a live, enforceable policy graph. AI reasons against the graph, not guesses.

The Interceptor

Every AI inference intercepted and checked against the Graph at decision-time. Not after. If the decision violates policy, the action is blocked.

The Reasoning Ledger

Every decision logged in an immutable ledger — who decided, when, why, under which policy. Audit-ready, proof of policy compliance in every row.

See a hallucination get intercepted

An AI agent fabricates a refund confirmation. The Interceptor catches it before the customer ever sees it.

Operator Console
LIVE
AI-Agent-12 Human-Rohit.M Same rules. Same engine.
⚑ Inference-Time Interceptor — Response Blocked
AI-Agent-12 drafted: "Your $847 refund is processed." No such refund exists in system of record. Response blocked before send.
📎 SOR-001 §1.4 · HALLUC-GUARD §2.2
Reasoning Trace
Input: "Where's my refund?"
Claim: Refund $847 issued ✗
SOR Check: No record found ✗
Pattern: Confabulation (94%)
Verdict
⊘ BLOCKED
Hallucination prevented
✓ ROUTE TO HUMAN
per ESCAL-001 §2.1
Inference drafted → Claim flagged → Blocked
● LIVE

Intercepted at inference-time. Customer never saw the false promise. Reasoning Ledger filed automatically.

Deterministic vs. Probabilistic

Safety layer on the bot; humans uncovered
Same engine for AI and human agents
Probabilistic pattern matching
Deterministic policy logic
Logs + circumstantial evidence
Reasoning Ledger + policy citation

The Impact

500K+
Decisions Governed / Quarter
99.7%
AI Hallucinations Intercepted
95%
Audit Response Time Saved
+15%
Policy Consistency Improvement

See Your Risk Exposure in 48 Hours

Run your operation against the Navedas engine. We'll show you exactly where decisions are at risk, which policies are being bent, and how much governance will protect.

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