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I will provide ai integration audit and llm security review for you
Khalid Bin W.
About this gig
Deploying LLMs, AI agents, or custom prompts without a dedicated security audit leaves your application exposed to serious risks. Standard web firewalls and traditional pentests will not detect prompt injection, system prompt leaks, or hijacked agent workflows.
I deliver rigorous, adversarial AI Security Audits to uncover hidden vulnerabilities and harden your AI architecture against real-world exploits.
Why Choose This Audit?
- Comprehensive LLM Coverage: Aligned with the OWASP Top 10 for LLMs to protect your models against jailbreaking, data leakage, and improper agency.
- Adversarial Testing: I actively attack your system prompt guardrails using advanced direct and indirect injection vectors.
- Developer-Ready Patching: You get clear, step-by-step remediation advicenot just a list of problems.
What Is Included:
- Guardrail & Prompt Stress Testing: Bypassing restrictions to ensure your system prompts remain secure and unextractable.
- Output Handling Verification: Preventing malicious payload execution (XSS, RCE) triggered by LLM outputs.
- API & Workflow Hardening: Securing agent permissions, rate limits, and third-party tools tied to your pipeline.
- Executive & Technical Reports: Clean PoC
Get to know Khalid Bin W.
Khalid Bin W.
Penetration Tester
- FromBangladesh
- Member sinceNov 2024
- Avg. response time1 day
Languages
English, Bengali
I am a certified Penetration Tester and Ethical Hacker with 3+ years of experience, specializing in Vulnerability Assessment and Penetration Testing (VAPT) for web applications, networks, APIs, and LLM ecosystems. With extensive experience in enterprise security auditing and offensive bug hunting,
I help organizations identify and eliminate critical vulnerabilities before malicious threat actors can exploit them.
My security testing methodology strictly follows OWASP Top 10 and industry-standard security frameworks to deliver thorough, actionable protection across your digital footprint.
My Portfolio
FAQ
What do you need from me to start the AI security audit?
I need access to your application endpoint/URL, user test credentials (if auditing an authenticated app), and details on how your LLMs or prompts are integrated. You do not need to share sensitive proprietary code unless you select the full code-review package.
Will this security test disrupt or damage my live application or model?
No. All security testing, prompt injections, and guardrail stress tests are strictly non-destructive. If preferred, testing can be conducted in a staging or sandbox environment to ensure zero interruption to your live operations.
Standard web pentests check for OWASP Top 10. Why do I need an AI-specific audit?
Standard firewalls and vulnerability scanners are built for traditional web logic and they cannot detect prompt injections, system prompt extraction, indirect data exfiltration, or agent workflow manipulation. An AI audit targets these unique generative AI attack vectors directly.
What frameworks and standards do you follow for the audit?
Assessments align strictly with industry standards, including the OWASP Top 10 for LLM Applications, NIST AI Risk Management Framework (AI RMF), and proven adversarial testing methodologies for generative models.
Will I receive actionable steps to fix the security gaps found?
Absolutely. Every audit delivers a clear, developer-ready report containing Proof-of-Concept (PoC) evidence alongside concrete remediation guidance, prompt refactoring techniques, and guardrail implementation strategies to fix vulnerabilities immediately.
