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.
Request Free TrialMore comparisons
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