AI Security
Discover, Secure & Govern AI at Every Layer. Protect Models, Applications, Agents & Data. Build Trusted AI. Reduce Risk. Accelerate Secure AI Adoption.
AI Discovery & Shadow AI
Know where AI exists across your organisation.
- Discover sanctioned & unsanctioned AI
- Identify Shadow AI
- IdentAI application inventory
- Model inventory
- AI usage visibility
- User & department visibility
AI Application Security
Secure applications built with GenAI and LLMs.
- LLM security assessment
- Prompt injection testing
- API security
- RAG security
- Data leakage testing
- Application security testing
- Secure AI architecture
AI Agent Security
Secure autonomous AI agents before they become autonomous risks.
- Agent identity
- Agent permissions
- Tool access
- Excessive agency
- Agent-to-agent communication
- Memory security
- Agent activity monitoring
AI Runtime Security
Protect AI while it is running.
- Prompt inspection
- Response inspection
- Prompt injection
- Sensitive data leakage
- Malicious content
- Unsafe URLs
- Policy enforcement
- Real-time monitoring
AI Model & Supply Chain Security
Trust the models before you trust the AI.
- Third-party model assessment
- Model integrity
- Model poisoning
- Malicious code
- Backdoors
- Open-source model assessment
- Model provenance
- AI SBOM / AI-BOM
AI Red Teaming
Attack your AI before attackers do.
- LLM penetration testing
- AI red teaming
- Prompt attack simulation
- Jailbreak testing
- Agent attack simulation
- RAG security testing
- Model abuse testing
- AI application security assessment
AI Audit, Governance & Compliance
- AI Governance & Policy Framework – Establish AI policies, roles, accountability and responsible AI practices.
- AI Risk & Impact Assessment – Identify, assess and prioritize AI-related risks across business operations.
- AI Regulatory Compliance – Align AI systems with applicable regulations, including the EU AI Act and India's DPDP Act.
- AI Audit & Control Assessment – Evaluate AI systems, security controls, data usage and model integrity.
- AI Standards & Framework Alignment – Support alignment with ISO/IEC 42001, NIST AI RMF and OWASP GenAI Security.
- AI Third-Party & Vendor Risk Management – Assess external AI tools, models and vendors for security, privacy and compliance risks.
