CompliantLLM provides AI governance and data risk observability for enterprises, detecting GenAI data-exfiltration risks in real time. The platform monitors insecure AI use, enforces policies across employees and third-party tools, and conducts adversarial AI risk assessments including multimodal LLM red-teaming. It also automates compliance testing against NIST AI-RMF and ISO 42001 standards, generating assurance reports with audit trails.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Enterprise Software
- Regulatory & Compliance Technology
- Software Only
Funding
Founders
Product
Problem
Enterprises face growing data security risks as employees and third-party tools increasingly adopt generative AI, often without formal approval. These AI systems can inadvertently leak sensitive corporate data, creating vulnerabilities that traditional security monitoring fails to detect or address.
Solution
CompliantLLM delivers a data risk observability platform that continuously monitors and acts on insecure AI usage across an organization. The platform enforces AI governance policies and controls across both employees and third-party tools, automatically and at scale. It provides adversarial AI risk assessment by simulating business-specific, multi-modal security attacks and conducting multi-turn LLM red-teaming to identify vulnerabilities. The solution also automates compliance and assurance by testing GenAI applications and vendors against NIST AI-RMF and ISO 42001 frameworks, generating audit-ready reports with complete audit trails.
Target Audience
Primary customers are enterprise security, compliance, and IT governance teams that need to manage GenAI-related data risks across their workforce and third-party vendor ecosystems.
Features
- Real-time monitoring and enforcement of AI governance policies across employees and third-party tools
- Adversarial AI risk assessment with business-specific, multi-modal security attack simulations
- Multimodal, multi-turn LLM red-teaming to identify exploitable vulnerabilities
- Automated compliance testing against NIST AI-RMF and ISO 42001 standards
- Assurance report generation with complete audit trails for regulatory compliance
- Vendor risk assessment for embedded AI vulnerabilities in third-party systems