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.
Noma Security
AI security platform (AI-SPM + AI-DR + red teaming)
Noma is a broad AI security platform — AI security posture management (model, pipeline and notebook scanning), AI detection & response, agentic access control, and automated red-teaming — across 80+ data and AI platforms. The most heavily funded vendor in this set.
How they compare
Twelve criteria that decide whether an enterprise can prove — not just hope — that its AI agents stay inside policy.
| Criterion | LangGuard | Noma |
|---|---|---|
| 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 Noma Security is strong
- Deep AI-SPM and AI supply-chain security — model artifacts, serialization risks, pipelines, notebooks
- ML-based threat detection for prompt injection and data leakage, with sensitive-data masking
- Automated red-teaming and broad discovery across 80+ data/AI platforms
- Maps to OWASP LLM, MITRE ATLAS, NIST AI RMF, EU AI Act and ISO 42001 — the standards leader here
Where LangGuard pulls ahead
- Enforcement is detection-led and probabilistic, not deterministic pre-execution authorization
- No Segregation-of-Duties enforcement
- Framework mapping is AI-security-standard-centric — no SOX or GDPR financial-GRC evidence
- Approvals are a security-review queue, not routing to named business approvers
- Audit logging is present but not positioned as tamper-evident; AppSec/SecOps buyer, not GRC
The bottom line
Noma Security is a capable ai security posture & detection. 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 Noma Security 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.
No credit card required · First 5 agents free · All LOB Scopes included · Enterprise ready