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.
WitnessAI
AI security & governance (AI firewall)
WitnessAI is an inline "AI firewall" — agentless network-level discovery (Observe), an intent-based policy engine (Control), and inline protection with PII tokenization and prompt-injection blocking (Protect), enforcing at the tool-call and MCP-server level.
How they compare
Twelve criteria that decide whether an enterprise can prove — not just hope — that its AI agents stay inside policy.
| Criterion | LangGuard | WitnessAI |
|---|---|---|
| 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 WitnessAI is strong
- Best-in-class agentless AI observability — network-level shadow-AI discovery, no endpoint agents
- Identity-based policy that attributes every agent action back to a human identity
- Strong inline data protection — PII/PCI/PHI tokenization before data reaches a model
- Real inline pre-execution blocking, with heavyweight backing and fast enterprise traction
Where LangGuard pulls ahead
- Enforcement is intent-based and probabilistic (explicitly 'beyond regex'), not deterministic
- Runtime-only — discovery happens after the surface is live; no design-time mapping
- No Segregation-of-Duties and no named-approver routing
- Generic compliance framing (a PCI callout) — no SOX/GDPR/ISO 42001 control mapping
- Audit trails are rich but not claimed tamper-evident; CISO buyer, not GRC
The bottom line
WitnessAI is a capable the ai firewall. 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 WitnessAI operates in.
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Find out what your agents can do —
before your auditor does.
LangGuard maps your complete agent action surface in minutes. Free for the first five managed agents. All Scopes (Finance, IT, Procurement, HR) included from day one. No policy writing required.
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