🛡️ Secure Your AI Features & Agentic Workflows
Adversarially test your AI capabilities—including chatbots, copilots, RAG architectures, and autonomous agentic workflows—to identify business-logic risks, prompt injections, and data boundary leaks before attackers exploit them.
🔍 What’s Covered
- Prompt Injection: Direct and indirect injections via retrieved documents, emails, and external web content
- Jailbreak Chains: Multi-turn jailbreaks, context-switching techniques, and encoding bypass tricks
- System Prompt & Data Leakage (LLM07 / LLM02): System prompt extraction, training/context data leakage, and embedding attacks
- RAG System Security: Retrieval poisoning, cross-tenant data leakage, and vector/embedding manipulation
- Excessive Agency & Function Calling: Tool-call abuse, unauthorized API actions, and privilege escalation via agents
- Improper Output Handling (LLM05): Cross-site scripting (XSS), markup injection via model outputs, SSRF, and command execution risks
- Supply Chain & Third-Party Risk: Plugin security, model/adapter sourcing risks, and provider data handling
- Unbounded Consumption (LLM10): Denial-of-Wallet attacks, model extraction, functional replication, and side-channel leakage
- Agentic Workflow Safety: Autonomy boundaries, tool permission limits, and human-in-the-loop approval bypasses
📦 What You Receive (Deliverables)
- Technical Assessment Report: Detailed vulnerabilities with reproducible Proof-of-Concepts (PoCs) and actionable remediation guidance.
- Attack-Chain Narratives: End-to-end multi-step threat scenarios demonstrating real-world business impact.
- Standards Mapping: Per-finding mapping to OWASP Top 10 for LLM Applications and MITRE ATLAS framework.
- Guardrail Recommendations: Custom input/output filtering, systemic boundary controls, and safety architecture guidance.
- Free Retest: One retest within 30 days of report delivery to verify applied remediations.
- Review Call: Online walkthrough of findings with your engineering and AI teams.
- Remediation Support: 30 days of post-report email support during fix implementation.
📋 What I Need From You (Prerequisites)
- Sandbox/staging access to the AI feature (preferred) or scoped production access
- Architecture context: model provider(s), RAG knowledge sources, connected tools, and agent privileges
- Testing LLM API budget or client-provided API keys
- Signed Rules of Engagement (ROE) defining permissible agent actions during testing
⏱️ Timeline & Pricing
- Delivery Timeline: 5–10 business days.
- Price: Starting At INR 1,20,000 + GST Applicable
Frequently asked questions ❓
Do you test guardrails and firewall layers?
Yes. The assessment tests both the underlying model behaviors and the surrounding guardrails, prompt firewalls, and input/output sanitization mechanisms.
How is testing safety ensured for autonomous agents?
All agentic testing is executed under a signed Rules of Engagement (ROE) within isolated sandbox environments to prevent unintended actions against live downstream systems.
🚀 Ready to Get Started?
Shipping AI features to production? Contact me to discuss your system architecture and schedule an assessment.
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