Solutions · Proprietary framework
RAG Security Assessment Toolkit™
Secure your enterprise GenAI, RAG and Agentic AI ecosystem before production deployment.
Problem statement
AI is shipping faster than it is being secured
Organizations rapidly deploy GenAI applications, RAG platforms, AI agents and multi-agent systems — often without an adequate security assessment. That creates real business and regulatory exposure.
Data leakage risks
Prompt injection attacks
Hallucination risks
Agent privilege escalation
Model security
Compliance and governance gaps
Solution overview
A comprehensive DevSecOps framework for AI systems
Built to evaluate and secure LLM applications, RAG systems, agentic AI platforms, multi-agent architectures and enterprise AI workflows.
01 · LLM Security Assessment
- Prompt injection
- Jailbreak attacks
- Data exfiltration
- Sensitive data exposure
- Model manipulation
02 · RAG Security Assessment
- Vector database security
- Retrieval poisoning
- Knowledge base integrity
- Embedding security
- Context injection risks
03 · Agentic AI Security Assessment
- Agent permissions
- Tool access controls
- Autonomous action risks
- Agent-to-agent communication
- Decision governance
04 · DevSecOps Assessment
- CI/CD pipelines
- Secrets management
- Infrastructure security
- Container security
- API security
05 · Compliance Assessment
- HIPAA
- GDPR
- SOC 2
- ISO 27001
- NIST AI RMF
Security architecture
Defence in depth, layer by layer
Controls are applied at every layer between enterprise users and enterprise systems.
Enterprise Users
WebMobileBack-officeAPIs
Agentic AI Layer — Multi-Agent Orchestrator
Prompt shieldSecurity policiesGovernance controls
RAG Security Layer
Vector DB securityRetrieval validationData classificationKnowledge governance
DevSecOps Controls
IAMSecrets managementAPI securityContainer securityMonitoring
Enterprise Systems
Core platformsData warehouseDocument storesThird-party APIs
Service deliverables
What you receive
Security Assessment Report
- Executive summary
- Risk heat map
- Vulnerability analysis
- Security scorecard
AI Security Architecture Review
- Current state assessment
- Gap analysis
- Future state architecture
Remediation Roadmap
- Quick wins
- Medium-term improvements
- Enterprise AI security strategy
Ideal target customers
Who this is built for
Healthcare
- Health insurance companies
- TPAs
- Hospitals
Banking & Financial Services
- Banks
- NBFCs
- FinTech companies
Enterprise GCCs
- Shared service centers
- Global capability centers
- IT organizations
Assess your AI stack before it reaches production
A structured security assessment across LLM, RAG, agentic, DevSecOps and compliance dimensions.