Secure AI. Protect Data. Minimize Risk.
At Cyberintelsys Consulting Services, we offer specialized LLM Penetration Testing Services to assess the security posture of AI-driven applications that utilize Large Language Models (LLMs) like ChatGPT, Bard, Claude, or custom enterprise AI solutions. Our experts simulate real-world attacks against your AI systems to uncover vulnerabilities specific to LLMs, such as prompt injection, data leakage, and unauthorized access, ensuring your AI solutions remain secure, compliant, and trusted.
LLM Penetration Testing is a focused security assessment designed to identify vulnerabilities unique to AI systems powered by Large Language Models. It simulates adversarial scenarios to assess how your AI models, APIs, and integrated applications could be exploited by attackers. This testing is crucial for organizations adopting AI to protect sensitive data, maintain compliance, and mitigate AI-specific security risks.
Identify AI-Specific Threats
Uncovers vulnerabilities such as prompt injection, data leakage, and unauthorized access through LLM interactions.
Secure Sensitive Data
Ensures AI systems do not inadvertently expose confidential, regulated, or proprietary information.
Prevent Model Manipulation
Detects risks where attackers could manipulate LLM outputs for malicious purposes.
Meet Compliance Requirements
Supports alignment with emerging AI security guidelines and industry standards (NIST AI RMF, ISO/IEC 42001, etc.).
A secure LLM environment starts with identifying and mitigating risks across every layer—inputs, outputs, and underlying logic.
Prompt Injection Attacks
Jailbreak & Evasion Techniques
Data Leakage via Responses
Over-Privileged LLM Integrations
Misconfigured APIs & Permissions
Supply Chain Risks in AI Workflows
Model Abuse for Social Engineering / Fraud
Unauthorized Function Calls via LLMs
Insecure Plugins, Extensions, or Tools Access
Understand the AI solution’s architecture, LLM providers, integrations, API exposure, and security objectives. Clearly define the scope to include LLM APIs, applications, and backend systems.
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Our clients rely on us to secure their critical applications and protect their data. Hear what they have to say about our expertise, dedication, and the impact of our web application penetration testing services.
Thanks a bunch — this truly satisfies all of our current requirements. The team was amazing! It was a pleasure working with you, and I would love to collaborate again in the future for any upcoming requirements.
Great work! Thanks a lot for the speedy delivery and consistent support throughout the project. Your professionalism and dedication are truly appreciated.
Excellent work! The team’s responsiveness, attention to detail, and proactive approach made the entire project seamless. We truly value the effort and support provided throughout.
We sincerely appreciate the exceptional expertise, clear communication, responsiveness, and flexibility shown throughout this project. Your active involvement played a vital role in making it a success. We also extend our gratitude to your management team for their support.
Strengthen AI Security Posture
Identify and mitigate LLM-specific vulnerabilities before exploitation occurs.
Protect Sensitive Data & IP
Ensure AI models do not leak confidential information through unintended prompts or outputs.
Regulatory & Compliance Alignment
Support compliance with AI-specific standards, data protection laws, and enterprise security frameworks.
Reduce Business & Legal Risks
Minimize potential reputational, financial, and legal damage from AI misuse or exploitation.
Enhance Customer Trust
Demonstrate proactive security measures for AI-driven products and services.
Black Box Testing
Simulates external attackers without knowledge of internal systems to assess public-facing LLM security.
White Box Testing
Analyzes source code, APIs, and configurations with full knowledge to identify deeper vulnerabilities.
Gray Box Testing
Combines external and limited internal knowledge to assess realistic threat scenarios, including insider risks.
Mobile App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report.
Security Audit and VAPT
Cyberintelsys is an Indian cyber security solution provider helping companies from various industries to fight cybercrimes
Web App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report. Any advice, opinion and expectation,
Mobile App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report.
Web App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report. Any advice, opinion and expectation,
Our structured, step-by-step process ensures every LLM vulnerability is identified, risks are prioritized, and your systems stay protected from evolving threats. From scoping to final validation, we enhance your AI security posture.
1. Initial Consultation & Requirement Gathering
Identify business objectives, critical data flows, and AI-related risks.
2. Scoping & Planning
Define the LLM systems, APIs, plugins, and integrations to be tested, aligned with business and security priorities.
3. Reconnaissance & Enumeration
Map exposed AI interfaces, plugins, and data flows to understand potential attack surfaces.
4. Adversarial Testing & Exploitation
Conduct controlled tests for LLM-specific threats, including prompt injection, abuse of functions, and data leakage.
5. Impact Assessment
Evaluate the impact of successful exploitation on data, systems, and business operations.
6. Reporting & Actionable Guidance
Deliver comprehensive reports with vulnerabilities, severity ratings, remediation guidance, and security hardening strategies.
7. Debrief & Retesting Support
Present findings, support remediation efforts, and validate fixes through retesting.
Protect Your Business from Emerging Cyber Threats
Cyberintelsys helps you stay one step ahead of today’s advanced cyber risks. Our expert-led penetration testing and security assessments are designed to identify vulnerabilities before attackers do — helping you strengthen your security posture and meet compliance standards. Fill out the form, and we’ll get back to you with a tailored solution.
Frequently Asked Questions
Quick Answers to Your Security Concerns
LLMs introduce new attack surfaces that traditional security testing does not cover. Testing helps prevent data leaks, manipulation, and AI-driven exploits.
Depending on scope and complexity, engagements typically range from 2 to 4 weeks.
We ensure controlled, non-destructive testing and recommend using staging environments where possible.
Detailed reports with findings, risk analysis, exploit examples, remediation advice, and executive summaries.
Regularly – ideally after major AI feature updates, model upgrades, or changes to AI integrations.