Scattered Evidence
Agent logs, model traces, approval records, and audit trails live across different systems — none of them liability-grade.
🔐 BETA access opening — built for enterprise risk, legal, compliance, and AI teams
Every autonomous AI action. Provable. Defensible. Insurable.
Nehraq captures tamper-evident evidence around high-impact AI agent actions — so when something goes wrong, your organization can prove what happened, who authorized it, what boundary applied, and what was done next.
Audit-grade evidence
Human approval receipts
Incident replay
Claim-ready packets
Nehraq Liability OS
Evidence Ledger Live
Proof Records40
Approvals7
Incidents11
Coverage8/8
Evidence IDAgentActionRiskStatusTime
EVD-00412Finance-AgentInvoice ApprovalHIGHBlocked2m ago
EVD-00411Comms-AgentExternal SendHIGHEscalated8m ago
EVD-00410CRM-AgentRecord MutationMEDPassed14m ago
EVD-00409Support-AgentRefund PromiseHIGHReview31m ago
Evidence integrity: Verified ✓
Last hash: 7f3a…9c21
When an AI agent causes damage — can you prove what happened?
Most enterprises cannot. Logs are scattered. Evidence is fragmented. Authority is unclear.
No Authority Record
You can see what the agent did. You cannot prove whether it was allowed to do it. That is the legal difference.
Indefensible Reports
When legal, audit, or an insurer asks for proof, a developer trace is not enough. You need a defensible evidence record.
“Nehraq exists to close this gap — one defensible evidence record for every high-impact AI action.”
How it works
Agentic Liability Infrastructure — not another observability tool
🏛️
Register every agent. Define every boundary.
Nehraq gives every AI agent an owner, an operating scope, and an authority boundary before it acts.
Agent Registry
| Agent | Owner | Risk | Boundary | Status |
|---|---|---|---|---|
| Finance-Agent-v3 | J. Martinez | HIGH | 92% | Active |
| CRM-Mutator | A. Chen | MED | 87% | Active |
| Claims-Relay | R. Patel | HIGH | 68% | Review |
Evidence Detail
Evidence IDEVD-00412
AgentFinance-Agent-v3
Action TypeInvoice Approval
Input SummaryInvoice #INV-8821 — $84,500
Policy ResultBLOCKED
IntegrityVerified ✓
🧾
Capture tamper-evident evidence for every high-impact action.
Each record connects the agent, request, tool call, policy boundary, approval path, result, and evidence hash.
🎬
Reconstruct any incident in minutes. Not weeks.
Incident Replay translates agent activity into legal, risk, audit, and executive language — not just developer traces.
Incident Replay — Unauthorized Financial Approval
Agent received task: “Approve invoice.”
Queried accounts payable system.
Authority boundary failed — limit exceeded.
Escalation triggered — CFO review.
Human override logged. Responsibility accepted.
Modules
Every module you need. Nothing you don’t.
Nehraq focuses on one job: turning autonomous AI actions into defensible evidence.
Agent Identity Registry
Every agent gets an owner, scope, and boundary before it can act.
Authority Boundary Engine
Define limits, approved tools, forbidden data, and escalation rules.
Evidence Capture SDK
Lightweight capture for requests, tools, policies, approvals, and outputs.
Evidence Gateway
Secure ingest layer that validates and routes evidence into Nehraq.
Tamper-Evident Evidence
Cryptographically signed and hashed records you can defend.
Human Approval Log
Capture approvals, escalations, overrides, and justifications.
Incident Replay
Reconstruct incidents step by step for legal, audit, and executives.
Insurability Readiness
Score operations on control maturity and evidence completeness.
Incident Replay
See exactly what your AI agent did. Step by step.
Translate runtime actions into a defensible chain of events.
Incident #INC-0047 — Unauthorized Financial Approval
HIGH
Agent “Finance-Agent-v3” received task: “Approve invoice #INV-8821.”
Retrieved invoice data from accounts payable.
Policy check: invoice amount $84,500.
Authority boundary failed: agent limit is $10,000. Action blocked.
Escalation triggered. Sent to CFO approver.
Override logged with comment. Responsibility accepted.
Step Detail
StepAuthority Boundary Check
Policy RuleMAX_APPROVAL = $10,000
Actual Amount$84,500
ResultBLOCKED
Action TakenEscalation to CFO
Evidence Hash7f3a…9c21
Use Cases
Built for every high-impact agent action
External Commitment
Financial & Commercial
System Mutation
Sends customer communication
Generates contractual language
Replies to a regulator
Issues a vendor instruction
Sends pricing response
Sends HR-related communication
Stakeholders
Every stakeholder. One evidence layer.
AI / Engineering Owner
Connect agents, configure evidence capture, and resolve implementation issues.
Risk & Compliance
Define boundaries, monitor violations, and export evidence packages.
Legal & Audit
Review incidents, verify evidence integrity, and produce defensible reports.
Executive Leadership
View risk posture, incident trends, exposure summaries, and readiness.
Insurance & Brokers
Receive standardized risk packets with agent inventory and control proof.
Internal Audit
Follow the evidence chain from action to approval to incident outcome.
The Nehraq Moat
Why Nehraq becomes infrastructure — not a dashboard
Five moats that compound over time.
Evidence Schema Standard
A repeatable standard for AI agent liability records.
Authority Boundary Library
Reusable boundary templates across industries and agents.
Incident Pattern Dataset
Learn which behaviors precede risk and claims.
Insurer-Readable Packets
Standardized evidence exports for diligence and review.
Embedded Evidence Gateway
Once between agents and tools, Nehraq becomes part of the control plane.
🔐 AI Agent Liability Infrastructure
Before your agents act. Before damage occurs. Before anyone asks.
Nehraq gives enterprises a defensible evidence trail for autonomous AI actions that create financial, legal, regulatory, or reputational exposure.
Account creation, email confirmation, 6-digit login, and BETA subscription activation will be wired in the next onboarding phases.