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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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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