Offensive security · VAPT

    AI & LLM Security Audits

    Specialized security assessments for Generative AI and Large Language Models, protecting against prompt injection and data leakage.

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    Typical duration
    5–10 working days
    Checks performed
    16+
    Areas covered
    4
    Standards
    OWASP Top 10 for LLM · MITRE ATLAS
    Overview

    About AI Security

    Chatbots, copilots and AI agents introduce new attack paths — prompt injection, data leakage and over-powered tools. We test your LLM features end to end against the OWASP Top 10 for LLM Applications.

    What we focus on

    • 01Prompt Injection Testing
    • 02Training Data Poisoning Defense
    • 03Model Inversion Protection
    • 04OWASP Top 10 for LLM
    Testing checklist

    16 checks we follow. Fully documented.

    Every item below is tested and recorded in your report — pass or fail — so you know exactly what was covered.

    OWASP Top 10 for LLMMITRE ATLASNIST AI RMF

    Prompt security

    4
    • Direct prompt injection
    • Indirect injection via documents & web content
    • Jailbreaks & guardrail bypass
    • System prompt leakage

    Data protection

    4
    • Sensitive data disclosure in responses
    • Training & fine-tuning data exposure
    • RAG data access controls
    • PII handling & retention

    Output handling

    4
    • Insecure output rendering (XSS via LLM)
    • Code & command execution from output
    • Hallucination impact on decisions
    • Content safety filters

    Agents & integrations

    4
    • Excessive agency of tools & plugins
    • Authorization of tool calls
    • API keys & secrets handling
    • Rate limiting & cost abuse (model DoS)
    Methodology

    How the engagement runs

    Typical duration: 5–10 working days.

    1. 01Scoping & architecture review (models, RAG, tools)
    2. 02Threat modeling of AI features
    3. 03Prompt injection & jailbreak testing
    4. 04Data leakage & access-control testing
    5. 05Agent & tool-call abuse testing
    6. 06Reporting, guardrail advice & free retest

    Standard toolkit

    Licensed, industry-standard tools — every result is validated by hand, not just scanned.

    • GAGarakLLM vulnerability probing
    • PYPyRITRisk identification for generative AI
    • BUBurp SuiteTesting AI features exposed over HTTP
    • CUCustom harnessesScenario-specific AI test suites

    Coverage model

    75%

    hands-on manual testing

    Scanners find the noise. Our testers find the flaws that chain into compromise.

    What we cover

    OWASP Top 10 coverage

    Every category below is tested and reported — pass or fail.

    OWASP Top 10 for LLM Applications 2025

    1. LLM01Prompt Injection Tested
    2. LLM02Sensitive Information Disclosure Tested
    3. LLM03Supply Chain Tested
    4. LLM04Data and Model Poisoning Tested
    5. LLM05Improper Output Handling Tested
    6. LLM06Excessive Agency Tested
    7. LLM07System Prompt Leakage Tested
    8. LLM08Vector and Embedding Weaknesses Tested
    9. LLM09Misinformation Tested
    10. LLM10Unbounded Consumption Tested
    See how we test this

    Common findings

    Issues we regularly uncover in AI Security engagements.

    • Direct and indirect prompt injection
    • System prompt leakage
    • Retrieval of other users’ data through RAG
    • Unsafe rendering of model output (XSS)
    • Over-privileged tools and agents
    • No limits on cost or token consumption

    What we need from you

    Share these during scoping and we can start quickly.

    • Access to the AI feature or API
    • Architecture overview (model, RAG sources, tools)
    • Test users with different data access
    • System prompt and guardrail details (for white-box)
    • Any content-safety policies in place
    Industries we serve

    Built for regulated, fast-moving teams.

    • Fintech & BFSI

      Payments, lending and customer financial data

    • Healthcare

      Patient records and care applications

    • SaaS & IT

      Multi-tenant platforms and APIs

    • E-commerce & retail

      Checkout, payments and customer accounts

    • EdTech

      Student data and learning platforms

    • Manufacturing

      Plant networks and business systems

    • Logistics

      Tracking apps, partner APIs and fleets

    • Startups

      Security ready for investors and enterprise deals

    Deliverables

    What you receive

    View a sample report

    Executive summary

    Plain-language business-risk narrative and an overall posture rating for leadership and the board.

    Technical report

    Every finding with a CVSS 3.1 score, CWE mapping, evidence and step-by-step reproduction.

    Remediation roadmap

    Prioritized, effort-estimated fix plan mapped to owners, timelines and quick wins first.

    PoC evidence pack

    Annotated requests, screenshots and scripts for each issue — enough to reproduce and fix fast.

    Free retest

    We re-verify every critical and high fix and update each finding’s status — included, no extra charge.

    Attestation letter

    A signed letter confirming testing was performed — shareable with customers, auditors and partners.

    Outcomes

    What you get

    • Secure Generative AI deployments

    • Prevent sensitive data leaks via LLMs

    • Build trust in AI-driven features

    • Keep AI agents within safe limits

    FAQ

    Common questions

    Can't find what you're looking for? Our team is one call away.

    It is a list of the most critical security risks for LLM applications, including prompt injection and insecure output handling.

    Explore more

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    Comprehensive security testing for REST, GraphQL, and SOAP APIs.

    Next step

    Start your AI Security engagement.

    Get a scoped proposal from our security team — no obligation.

    Request a proposal +91 8790899473