GenAI & LLM Security Audit Services in Chennai India

Q: Why is a GenAI & LLM Security Audit important?

LLMs and generative AI systems introduce unique attack vectors, prompt injection, jailbreaking, training data leakage, and model inversion, that traditional security tools do not detect. A dedicated security audit identifies these risks before your AI system is exploited in production, protecting your business data, users, and compliance posture.

LLMs and generative AI systems introduce new attack surfaces, prompt injection, data leakage, model abuse, and compliance risks. Secure your AI before attackers find the gaps.

Services / GenAI & LLM Security Audit

What is a GenAI & LLM Security Audit?

A GenAI & LLM Security Audit is a specialised security assessment of applications powered by Large Language Models (LLMs) and generative AI systems. Unlike traditional application security testing, LLM audits address a unique set of risks defined by the OWASP LLM Top 10, including prompt injection, insecure output handling, training data poisoning, model denial-of-service, and excessive AI agency. As organisations in Chennai and across India integrate ChatGPT, Claude, Gemini, and custom models into their products, the attack surface has expanded significantly.

Our security researchers test your AI system the way a real attacker would, crafting adversarial prompts, probing RAG pipelines, testing AI agent boundaries, and identifying data leakage paths. We are available 24/7 to help secure your AI-powered products.

Our Approach to GenAI & LLM Security Audit

• Prompt Injection Testing: Craft direct and indirect prompt injection attacks to override system instructions, bypass safety filters, and exfiltrate sensitive data from LLM-powered applications.

• RAG Pipeline Security: Assess Retrieval-Augmented Generation pipelines for data leakage, unauthorised document access, vector database injection, and context manipulation attacks.

• AI Agent & Plugin Testing: Test LLM agents and plugin integrations for excessive autonomy, unsafe tool use, privilege escalation, and unintended code execution risks.

• Model Output Handling Review: Assess how AI-generated outputs are processed by downstream systems, identifying XSS, code injection, and command injection risks from unsanitised LLM responses.

• Data Leakage & Privacy Assessment: Test for training data extraction, system prompt disclosure, and PII leakage risks that expose sensitive business or customer data.

• OWASP LLM Top 10 Mapping: All findings are mapped to OWASP LLM Top 10 with severity ratings, business impact analysis, and developer-ready remediation guidance.

Our team is available 24/7 to help secure your AI-powered applications.

Frequently Asked Questions, GenAI & LLM Security Audit

Why is a GenAI & LLM Security Audit important?

LLMs introduce unique attack vectors, prompt injection, jailbreaking, training data leakage, and model inversion, that traditional security tools do not detect. A dedicated security audit identifies these risks before your AI system is exploited in production, protecting your business data, users, and compliance posture.

What is prompt injection and why is it dangerous?

Prompt injection is an attack where a malicious user crafts inputs that override an LLM's original instructions, causing it to bypass safety controls, leak system prompts, exfiltrate data, or execute unintended actions. It is the #1 risk in OWASP LLM Top 10 and can have severe consequences for AI-powered applications handling sensitive business or customer data.

Which AI frameworks and models does Codesecure audit?

We audit applications built on OpenAI GPT, Anthropic Claude, Google Gemini, Meta LLaMA, Mistral, and custom fine-tuned models. We test RAG pipelines, AI agents, LangChain and LlamaIndex implementations, vector database integrations, and AI APIs regardless of the underlying model or framework.

What do I receive after the audit is completed?

You receive a detailed audit report covering all identified vulnerabilities mapped to OWASP LLM Top 10, proof-of-concept demonstrations of exploitable risks, business impact analysis for each finding, and a prioritised remediation roadmap with developer-ready guidance to fix each issue before it reaches production.

Is your AI application secure?

Get a comprehensive GenAI & LLM Security Audit from Codesecure Solutions. Protect your AI products, your data, and your customers.

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