Identify. Exploit. Secure.
Identify. Exploit. Secure.
At Cyberintelsys Consulting Services, we help organizations secure AI-powered and LLM-driven applications through comprehensive AI / LLM Security Assessments and Penetration Testing. Our expert team identifies risks across AI supply chains, models, prompts, APIs, agents and GenAI applications helping businesses mitigate threats before adversaries exploit them.
What is AI/LLM Security Assessment & Penetration Testing?
AI / LLM Security Assessment and Penetration Testing is a structured evaluation that simulates real-world attacks on AI and LLM applications. It assesses the security of datasets, pipelines, models, prompts, APIs and GenAI systems to identify risks, prevent data leakage and abuse, strengthen trust, compliance and resilience.
Real-World Attack Simulation
We simulate adversarial techniques such as prompt injection, model extraction, dataset poisoning and agent abuse to validate how your AI systems behave under real attack conditions.
Risk Identification & Prioritization
We identify vulnerabilities across AI pipelines, models, prompts, APIs and integrations, categorizing them based on severity, exploitability and business impact.
Actionable Security Insights
Our reports provide clear findings, exploit evidence and practical remediation guidance to help engineering and AI teams secure their AI systems effectively.
Our AI / LLM Security Testing covers the full AI attack surface
Dataset provenance & integrity validation
Dataset poisoning & data manipulation risks
Training pipeline integrity assessment
Unauthorized tool, plugin and agent invocation
Fine-tuning abuse & model drift risks
Jailbreaking & safety control bypass testing
Sensitive data leakage & privacy risks
Model extraction & inversion attempts
At Cyberintelsys, we protect your AI systems through meticulous penetration testing. Our thorough methodology uncovers and resolves every potential vulnerability to ensure robust security.
We define testing objectives, AI scope (models, datasets, prompts, APIs, agents) testing methodologies and legal approvals to align with business and regulatory requirements.
We analyze AI architecture, data flows, model usage, prompt design, RAG pipelines, APIs and integrations to map the AI attack surface.
Using automated tools and expert manual techniques, we assess datasets, models, prompts, pipelines and configurations for security weaknesses.
Our specialists perform advanced AI attack simulations, including prompt injection, model extraction, unauthorized tool usage, data leakage and agent manipulation.
We evaluate AI-driven workflows to identify logic flaws, unsafe automation, excessive permissions and decision-manipulation risks.
You receive a detailed technical report highlighting vulnerabilities, risk severity, business impact, proof-of-concept exploits and actionable remediation steps.
Your trusted advisor in penetration testing . Safeguard your digital assets – get in touch today!
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.
Improved AI Security
Identify and remediate AI-specific risks before they result in data breaches or model abuse.
Regulatory Compliance
Support compliance with NIST AI RMF, ISO/IEC 42001, EU AI Act, GDPR and industry best practices.
Data & Model Protection
Prevent sensitive data leakage, model theft and unauthorized AI behavior.
Cost Savings
Detect AI vulnerabilities early to avoid costly incidents, regulatory penalties and reputational damage.
End-to-End AI Risk Coverage
Secure datasets, models, prompts, APIs, agents and GenAI applications holistically.
AI Governance & Policy Validation
Validate AI security controls, governance policies and safe deployment practices.
Black Box AI Testing
Simulates real-world attackers engaging with AI systems, focusing on exposed prompts, APIs and model behaviors.
White Box AI Testing
Performed with full access to datasets, model configurations, prompts, pipelines and architecture for deep security analysis.
Gray Box AI Testing
A hybrid approach simulating insider threats, compromised credentials or partial access to critical AI components.
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 step-by-step process ensures all vulnerabilities are identified, risks are prioritized and your business remains protected against evolving AI-driven threats. From consultation to retesting, we ensure your AI applications and LLM systems are resilient and secure.
1. Initial Consultation & Requirement Gathering
We gather information on your AI applications, LLM models, data pipelines, business objectives and security concerns to tailor the engagement to your needs.
2. Scope Definition & AI Asset Identification
We define the testing scope for AI models, APIs, environments and authorized techniques to align expectations, reduce risks and ensure compliance.
3. Architecture Review & Attack Surface Mapping
We analyze AI system architecture, model workflows, data flows, APIs, integrations and dependencies to identify exposed attack surfaces and potential security weaknesses.
4. AI Vulnerability Assessment
We conduct comprehensive assessments using industry standard tools and expert driven techniques to identify AI-specific, LLM and model level vulnerabilities.
5. Manual exploitation & adversarial testing
We simulate AI attack scenarios, including prompt injection, data leakage, model abuse, API misuse and unauthorized access to assess real-world risks.
6.Reporting & Remediation Guidance
We deliver detailed reports outlining AI and LLM findings, severity levels, risk implications and actionable remediation steps for your development teams.
7. Presentation & Risk Discussion
We present AI and LLM assessment results to stakeholders, explain technical findings and assist with risk prioritization and mitigation guidance.
8. Retesting & AI Security Improvement
Following remediation, we conduct retesting to validate fixes and provide recommendations for continuous security improvement and regulatory compliance.
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 AI and LLM Security Concerns
Details about AI models, datasets, prompts, APIs, RAG pipelines, agents, deployment environments and compliance objectives.
Timelines vary based on complexity, typically ranging from 1–4 weeks depending on AI architecture and scope.
Testing is conducted safely and ethically. We recommend staging or test environments where possible.
Prompt injection, data leakage, model tampering, dataset poisoning, unauthorized tool usage, hallucination risks and governance gaps.
A comprehensive AI / LLM Security Assessment & Penetration Testing Report with severity ratings, exploit evidence and step-by-step remediation guidance.