Identify. Exploit. Secure.
Attack. Expose. Strengthen.
At Cyberintelsys Consulting Services, our Red Team for AI / LLM Systems simulates real-world adversarial attacks against AI-powered applications and Large Language Models (LLMs) to uncover security, safety and misuse risks before attackers do. We go beyond traditional testing to evaluate how AI systems behave under hostile, deceptive and abuse-driven scenarios, helping organizations build robust, resilient and trustworthy AI systems.
AI / LLM Red Teaming is an adversarial assessment that simulates real attackers attempting to manipulate or abuse AI systems. It helps identify prompt injection, jailbreaks, data leakage and control weaknesses while testing AI decision logic. Unlike traditional VAPT, it focuses on behavioral exploitation and emerging AI risks.
Real-World Attack Simulation
Test AI systems against realistic attacker behavior, including malicious prompts, deception and misuse scenarios.
Early Detection of AI-Specific Risks
Identify risks such as prompt injection, jailbreaks, hallucination abuse, unsafe outputs and data leakage.
Stronger AI Safety & Trust
Ensure AI systems behave predictably, safely and within defined governance boundaries.
AI systems introduce new and unique attack surfaces that traditional security testing does not fully address.
Our AI / LLM Red Team Assessments cover:
Prompt injection and indirect prompt injection attacks
Jailbreak techniques and guardrail bypass attempts
Training data inference and sensitive data leakage
Abuse of AI agents, plugins and tool integrations
Unauthorized actions via AI-driven automation
Multi-step attack chains using AI reasoning
Cross-system impact triggered by AI outputs
Misuse of AI APIs and rate-limiting weaknesses
At Cyberintelsys, we strengthen AI and LLM systems through Red Team assessments, simulating real-world attacks to uncover weaknesses, reduce abuse risks and improve overall AI security and resilience.
We define AI assets, models, applications, integrations, use cases and risk tolerance.
We identify AI-specific threat scenarios including misuse, abuse, deception and adversarial manipulation.
We execute controlled red team attacks against AI prompts, APIs, agents and workflows using realistic attacker techniques.
We assess the effectiveness of guardrails, moderation systems, access controls and misuse detection mechanisms.
We evaluate business, legal, safety and reputational impact of successful AI exploitation.
You receive a detailed report outlining attack scenarios, findings, severity, impact and prioritized remediation actions.
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 Safety & Alignment
Validate guardrails, safety policies and usage constraints
Reduced AI Abuse & Misuse Risk
Identify and mitigate harmful or unintended AI behaviors
Data Protection & Privacy Assurance
Prevent leakage of sensitive or proprietary information
Operational AI Risk Reduction
Prevent costly AI failures, automation errors and trust erosion
Stronger Stakeholder Confidence
Demonstrate proactive AI risk management to customers and regulators
Regulatory Readiness
Support alignment with NIST AI RMF, ISO/IEC 42001, EU AI Act and internal AI governance programs
Prompt & Interaction Red Teaming
Focuses on prompt injection, jailbreaks, deception and instruction manipulation.
Application-Level AI Red Teaming
Assesses strategic AI-powered applications, chatbots, copilots, agents and workflows.
API & Integration Red Teaming
Evaluates risks from AI APIs, plugins, tools and external third-party integrations.
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 Red Team process simulates real-world attacks to identify AI weaknesses, validate defenses and strengthen the security and resilience of your AI and LLM systems.
1. Initial consultation & AI System Discovery
Engage stakeholders to understand AI use cases, identify critical systems, data sources, models, integrations and exposed attack surfaces.
2. Scope definition & rules of engagement
Define assessment scope, objectives, constraints and rules to ensure safe, ethical testing aligned with business and operational requirements.
3. AI threat modeling & attack planning
Develop threat models and attack paths targeting prompts, APIs, agents, datasets and workflows to simulate realistic adversarial scenarios.
4. Adversarial attack execution
Execute controlled attacks including prompt injection, jailbreaks, data extraction, logic abuse and misuse to uncover real-world AI weaknesses.
5. Safety, abuse and misuse validation
Validate safety controls by testing abuse prevention, guardrails, content filtering, automation logic and response handling across AI systems.
6. Impact analysis & risk scoring
Analyze findings to measure business impact, exploitability and likelihood, assigning risk scores to prioritize remediation efforts effectively.
7. Reporting & remediation guidance
Deliver detailed reports with vulnerabilities, attack evidence, risk ratings and actionable recommendations to strengthen AI security posture.
8. Re-testing & continuous improvement
Re-test remediated areas and continuously refine defenses to adapt against evolving threats and improve long-term enterprise AI resilience.
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/LLM Red Teaming Concerns
Before production deployment, after major model updates, when deploying AI agents or when expanding AI use cases.
No. AI Red Teaming focuses on adversarial behavior, misuse and safety failures, while AI penetration testing focuses on technical vulnerabilities.
No. All testing is performed in controlled environments under agreed rules of engagement.
Prompt injection, jailbreaks, unsafe outputs, data leakage, automation abuse and AI-driven logic flaws.
A comprehensive AI / LLM Red Team Report with attack scenarios, exploit paths, impact assessment, and prioritized remediation guidance.