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LangGuard vs Zenity

The deterministic AI governance control plane vs. Agent detection & response — compared on 12 governance & compliance criteria for enterprises putting AI agents into production.

Strong / documented Partial / indirect Absent / not publicly documented

LangGuard

Deterministic runtime AI governance control plane

LangGuard is a deterministic runtime AI governance control plane. Two engines work across the full agent lifecycle: SCOPE-MCP maps and compliance-classifies an agent's action surface before it ships, and Arbiter deterministically authorizes every agent action before it executes — clearing safe actions with no added latency and routing anything that crosses a Segregation-of-Duties boundary or policy threshold to a named approver. The authorization is the governance; the audit trail is automatic.

Zenity

Agentic AI security (AISPM + agent detection & response)

Zenity secures AI agents across Microsoft Copilot, low-code platforms, Salesforce Agentforce and custom clouds — discovery and posture management (AISPM), least-privilege permission analysis, and runtime detection & response (AIDR). A 2025 Gartner Cool Vendor in Agentic AI TRiSM.

How they compare

Twelve criteria that decide whether an enterprise can prove — not just hope — that its AI agents stay inside policy.

Criterion LangGuard Zenity
Deterministic, rule-based authorization
Pre-execution enforcement
Segregation of Duties enforcement
Excessive-agency prevention / least privilege
Design-time action-surface mapping
Compliance-classified tools catalog
Full lifecycle coverage (design-time + runtime)
Named-approver human-in-the-loop routing
SOX / GDPR / financial-GRC control mapping & evidence
AI-specific standards (ISO 42001, EU AI Act, NIST AI RMF, OWASP LLM)
Immutable / tamper-evident audit ledger
GRC / internal-audit / IT-governance buyer fit

Where Zenity is strong

  • Best-in-class agent discovery and inventory across Copilot, low-code and SaaS sprawl
  • Mature AISPM with deep permission analysis and least-privilege enforcement
  • Correlates build-time posture with runtime behavior — genuine lifecycle coverage
  • Strong offensive research (AgentFlayer) and Gartner analyst validation

Where LangGuard pulls ahead

  • The runtime engine is behavioral/anomaly detection (probabilistic), not deterministic authorization
  • No Segregation-of-Duties enforcement
  • Response is automated playbooks (quarantine/revoke), not named-approver routing
  • ISO 42001 and EU AI Act are not mapped; audit-immutability claims are inconsistent
  • Sells to the CISO / AppSec org, not GRC or internal audit

The bottom line

Zenity is a capable agent detection & response. But securing how an agent operates is not the same as governing what it is allowed to do. LangGuard makes a deterministic, rule-based authorization decision on every action before it executes — enforcing Segregation of Duties, routing risky actions to named approvers, and emitting audit-grade SOX/GDPR evidence. It is the governance control plane that sits above the layer Zenity operates in.

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