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.
Operant AI
Runtime AI application defense (cloud-native)
Operant AI is a runtime AI application defense platform for cloud-native environments — "3D Runtime Defense," an MCP Gateway, Agent Protector, and the open-source Woodpecker red-teaming engine — with inline action blocking, data redaction, and prompt-injection defense.
How they compare
Twelve criteria that decide whether an enterprise can prove — not just hope — that its AI agents stay inside policy.
| Criterion | LangGuard | Operant |
|---|---|---|
| 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 Operant AI is strong
- Strong inline runtime blocking in Kubernetes, with a low-friction agentless helm install
- Prompt-injection/jailbreak defense and real-time DLP auto-redaction (PII/PCI/PHI/keys)
- Dedicated MCP Gateway with trust zones and tool-poisoning detection
- Woodpecker open-source red-teaming and broad Gartner coverage
Where LangGuard pulls ahead
- Detection leans behavioral/probabilistic rather than deterministic authorization
- No Segregation-of-Duties enforcement
- Runtime-only — design-time coverage is red-teaming, not a governance gate
- Compliance is SOC 2 + Woodpecker's OWASP/MITRE/NIST — no SOX/GDPR/ISO 42001 evidence
- Human-in-the-loop is directional, with no named-approver routing; security-eng buyer, not GRC
The bottom line
Operant AI is a capable runtime ai defense. 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 Operant AI 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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