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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