Comprehensive AI Agent Governance

Every capability you need to govern AI agents at runtime

From discovery to audit, Nexora provides the only runtime governance layer purpose-built for enterprise AI agent deployments.

Detect → Map → Govern → Prove → Undo

Every phase of the governance lifecycle. No gaps, no blind spots.

1

Detect

Nexora discovers every AI agent operating in your environment — whether sanctioned or shadow. Agents are found through multiple data sources:

  • API Gateway LogsAgents identified by unique API key patterns and model signatures
  • Network DLPTraffic analysis detects model API calls and LLM interactions
  • SSO / IdP LogsService accounts and machine identities correlated to agent behavior
  • Expense AuditsCloud AI spend anomalies flag uncatalogued agent deployments
⚠ Shadow AI Flagging— Unapproved agents detected within 15 minutes of first API call
Shadow AI detection visualization showing agents discovered by API gateway, SSO logs, and network DLP
detect.log
[08:32:01] ✓ SSO event | service-account: sdr-ai@prod
[08:32:02] ✓ API gateway | model: gpt-4o | 142 req/min
[08:32:05] ⚠ Shadow agent | unknown-identity: claude-caller | FLAGGED
[08:32:10] ✓ Ingested | 4 agents catalogued | 1 shadow flagged
2

Map

Every data store an agent can reach is classified by sensitivity and region. Nexora builds a live dependency graph that shows exactly which agents can touch which data.

  • Sensitivity ClassificationPII, PHI, PCI, financial, and internal data automatically tagged
  • Regional Data GovernanceData residency mapped to GDPR, CCPA, and local regulations
  • Access Path AnalysisEvery route from agent → data store traced and documented
🔴 Toxic Combination Alerts— Unverified agent + PII data store = immediate quarantine trigger

Data Store Map

customer_pii_dbus-east-1
CRITICAL (PII)2 agents
warehouse:analyticsus-east-1
INTERNAL3 agents
crm:contactseu-west-1
SENSITIVE1 agents
sendgrid:campaignsus-west-2
INTERNAL2 agents
3

Govern

Every agent gets a registered purpose, scoped data access, and a cryptographic identity. Short-lived credentials, HITL gates, and a global kill switch give you fine-grained control.

Purpose Registration
Each agent bound to a declared, auditable purpose
Scoped Access
Granular permissions per data store and action type
Crypto Identity
DID-based identity with short-lived credentials
HITL Gates
Human approval required for all external side effects
Kill Switch
Instant agent halt with one click
Auto-Remediation
Policy violations trigger quarantine, not just alerts
Active: sdr-ai
Purpose: Outbound sales lead research & outreach
Scope: crm:contacts (read) · sendgrid:campaigns (write)
Identity: did:nexora:agent:8f3a1b2c · TTL: 23h 14m
HITL: On · Kill Switch: Ready
Halted: email-campaign
Reason: Behavioral drift — unapproved data scope access
Kill Switch: Activated · All actions blocked
4

Prove

One policy written once maps to every major AI governance framework. No duplicated work, no mapping drift.

NIST AI RMFMapped
92%
OWASP LLM Top 10Mapped
88%
EU AI ActIn Progress
61%
ISO 42001Mapped
85%

One-tap audit reports — Generate a cross-mapped compliance report against every framework in seconds, not weeks.

Compliance crosswalk diagram showing one policy mapped to NIST AI RMF, OWASP LLM Top 10, EU AI Act, and ISO 42001
Living Crosswalk

Every policy-to-framework mapping is re-evaluated when a policy, model, agent scope, or owner changes. Your audit trail never goes stale.

Last Audit Snapshot
2026-07-08T14:30:00Z
✓ 4/4 frameworks mapped · 0 gaps
5

Undo

Every action an agent takes is recorded in an append-only audit ledger. When something goes wrong, roll it back with one click — no matter how many systems were touched.

  • Full Action LedgerEvery agent write, decision, and data access — tamper-evident
  • One-Click RollbackReverse any agent action across all connected systems
  • Dependency-Aware ReversalRollback cascades correctly through dependent operations
Recent Actions3 reverted
sdr-aiemail.send
reverted
data-enrichdatastore.read
blocked
finance-aiexpense.create
approved
code-reviewerpr.comment
approved
Seven-Layer Defense

Architecture deep-dive

Every agent action passes through seven layers of runtime governance. Each layer is independently verifiable.

01

Traceability

Every agent action, decision, and data touchpoint is recorded in an audit-grade append-only ledger. Tamper-evident by design — any modification breaks the chain.

02

Containment

Agents that show anomalous behavior are automatically quarantined. Isolation happens at the network, data, and identity level — a quarantined agent can't propagate harm.

03

Reversibility

Every agent write is recorded with full state before and after. One-click rollback restores the prior state across all affected systems, with dependency-aware reversal.

04

Decision Authority

Human-in-the-loop gates block all external side effects until a human approves. No autonomous writes to production data, customer communications, or financial systems.

05

Failure Protocols

Configurable retry, degrade, halt, or notify on failure. Silent errors are impossible — every failure produces an auditable event.

06

Observability

Streaming evidence feed with real-time trust scores — always recomputed from runtime signals, never a stale snapshot. Every signal is explainable.

07

Intervention

Global kill switch halts every agent in the organization with one click. An escalation chain ensures the right person is notified within seconds.

CISA-aligned. These seven layers map directly to the five risk categories in CISA's May 2026 "Careful Adoption of Agentic AI Services" guidance: privilege escalation, design/configuration flaws, behavioral misalignment, cascading failures, and accountability opacity.

Differentiator

Memory Governance

"Memory informs. Authority resolves. Enforcement executes."

No other solution prevents agents from acting on remembered context that has outlived authorization. Here's how it works:

Authorization Expiry
When an agent's permission to access a dataset expires, Nexora sweeps all tokens related to that data from the agent's context window.
Context Sweep
The memory governor scans the agent's active context and purges any tokens, embeddings, or cached results tied to the revoked dataset.
Action Block
If the agent attempts an action using stale context, enforcement gates block it before execution — even if the model doesn't realize the context is stale.
memory-gov.log
[14:32:01] Agent "sdr-ai" → context authorized | scope: sales_leads_2026
[14:37:44] ⚡ Authorization EXPIRED | sales_leads_2026 access revoked
[14:37:44] ~ Memory sweep triggered | 1,248 tokens purged
[14:38:01] ✓ Agent action blocked | stale_context_detected
<50ms
Memory sweep latency
10M+
Tokens monitored
99.97%
Stale actions blocked
Why Nexora

See the difference

Runtime governance vs. no governance. Proactive control vs. checklist compliance.

Nexora vs Manual Governance vs Traditional GRC tools comparison infographic

Nexora vs. No Governance

CapabilityWith NexoraWithout Governance
Agent DiscoveryContinuous — agents found within minutes of first API callManual spreadsheets or nothing
Data Store MappingAuto-classified by sensitivity with toxic combination alertsUnknown data exposure
Identity & AccessCryptographic identity with short-lived credentialsLong-lived API keys or shared secrets
Human OversightHITL gates on all external side effectsAgents act with full autonomy
Incident ResponseAuto-quarantine + one-click kill switchManual detection and slow containment
Action ReversibilityFull ledger with one-click rollbackManual cleanup or data loss
Compliance MappingSingle policy crosswalks to 4+ frameworksDuplicate work for each framework
Memory GovernanceContext sweep on authorization expiryStale context persists indefinitely
Cost ControlsPer-team token budgets with real-time trackingUnbounded AI spend

Nexora vs. Checklist GRC Tools

DimensionNexoraTraditional GRC
ApproachRuntime enforcement — governs agents in real timePolicy documents and periodic reviews
DiscoveryAutomated agent discovery across infra signalsManual self-reporting by teams
Policy EnforcementBlock, quarantine, or halt at runtimeDetect and report after the fact
Trust ScoringReal-time score from runtime signals (never stale)Annual risk assessments
Action LedgerAppend-only, tamper-evident, with rollbackAudit logs (often not agent-specific)
Compliance MappingOne policy → NIST, OWASP, EU AI Act, ISO 42001Separate control sets per framework
Memory GovernanceUnique — context sweeps on auth expiryNot addressed
HITL GatesGranular per-action HITL approval flowsNot applicable
Kill SwitchGlobal and per-agent instant haltNot applicable
DeploymentRuntime layer — deploys alongside agentsSeparate system, separate processes

Traditional GRC tools were built for static compliance — not for runtime AI agent governance. Nexora is the first product designed for the speed and autonomy of modern AI agents.

Ready to see it in action?

Launch the live console to explore agents, policies, the audit ledger, and compliance mappings yourself.