Lens
Inline policy enforcement for AI agents—monitoring every tool call, memory operation, and agent action in real-time with privacy-preserving telemetry and cryptographic audit trails.
"Transparency of process, not of content."
Govern AI Without Compromise
Lens solves the critical challenge facing enterprises: How do you govern AI systems without compromising privacy, performance, or innovation?
Policy Enforcement
Define and enforce ethics policies with graduated responses: ALLOW → WARN → DENY → QUARANTINE → HITL. Full control over AI behavior.
Privacy-Preserving
Only anonymized metadata leaves your infrastructure—raw content never exposed. Governance without compromising data privacy.
Sub-Millisecond Latency
Fast-path evaluation adds less than 2ms p95 to agent operations. Production-grade performance without compromise.
Cryptographic Audit Trail
Tamper-evident Merkle chain records every decision. KMS-backed signing with AWS, GCP, Azure, or HashiCorp Vault.
Human-in-the-Loop
Escalate high-risk decisions to human reviewers automatically. Configurable thresholds and approval workflows.
Framework Integrations
Native integrations for LangChain, LangGraph, LiteLLM, OpenAI, and Anthropic. Drop-in instrumentation, not rewrites.
Your Data Stays With You
The Lens SDK extracts features like size, destination, and type—raw content never leaves your environment. Only anonymized metadata reaches the control plane.
Your Infrastructure
- AI Agent + Lens SDK runs locally
- Extracts features (size, destination, type)
- Raw content NEVER leaves your environment
Lens Control Plane
- Policy evaluation on metadata only
- Audit logging with no raw data access
- HITL workflows for escalation
Policy Engine Features
Allowlisting permits fine-grained access to tools, parameters, domains, and HTTP methods of your choosing
Prevent access to tools, parameters, access levels, topics, content based on defined criteria
High-risk or sensitive actions trigger HITL workflows for escalation
Rule engine content comes mapped to multiple frameworks; laws, regulations, security, safety, ethics, and more
Rule chaining enables advanced logic for detecting and responding to potentially harmful or unsafe actions, operating within both deterministic and non-deterministic frameworks
Leverage advanced models to flag unsafe or harmful content in requests and responses in near-real-time
Production-Grade Speed
| Metric | Target | Actual |
|---|---|---|
| SDK added latency | ≤5ms p95 | <2ms |
| Sidecar policy eval | ≤2ms p95 | <1ms |
| Control plane eval | ≤30ms p95 | <15ms |
| Incident to HITL | ≤5s | <2s |
| Audit write | ≤10ms | <5ms |
Regulatory Alignment
Lens helps organizations meet requirements across major AI regulations with built-in policy citations and audit capabilities.
EU AI Act
- •Human oversight (Art. 14)
- •Transparency (Art. 13)
- •Risk management (Art. 9)
GDPR
- •Data minimization (Art. 5)
- •Accountability (Art. 5)
SOC 2
- •Monitoring controls
- •Audit logging
NIST AI RMF
- •GOVERN, MAP, MEASURE, MANAGE lifecycle
Canadian AIDA Act
- •Impact assessment filings
- •Explainability + risk mitigation duties
Cryptographic Audit Features
Tamper-evident record of every AI decision
AWS KMS, GCP KMS, Azure Key Vault, HashiCorp Vault
Every verdict linked to policy version and rules
Full transcripts and tool call logs for investigations
Cryptographic verification of audit chain integrity
Export audit data for regulatory review
Flexible Deployment Options
Cloud-Hosted (Multi-Tenant SaaS)
- • Fully managed control plane
- • Multi-tenant isolation
- • One-click deployment
- • 99.95% SLA
Secure Cloud-Hosted (Isolated SaaS)
- • Deploy in a private VPC
- • Single-tenant deployment
- • Full data isolation
- • Custom compliance requirements
Hybrid
- • SDK and sidecar on-premises
- • Control plane cloud-hosted
- • Best of both worlds
- • Flexible data residency
Complete with Insight
Lens and Insight together form Veilfire's comprehensive AI governance platform. While Lens provides real-time enforcement, Insight delivers comprehensive and continuous evaluation across five pillars before and during deployment.