AI Red Team Audit
Advanced adversarial testing and security assessment for AI systems, machine learning models, and AI-powered applications. Our specialized red team identifies vulnerabilities, bias issues, and ensures your AI is secure and reliable.
What We Test
Comprehensive security assessment across all types of AI systems and applications
Large Language Models
ChatGPT-like models, custom LLMs, and conversational AI systems.
- • Prompt injection attacks
- • Jailbreaking attempts
- • Context manipulation
- • Output filtering bypass
Computer Vision Models
Image recognition, object detection, and visual AI systems.
- • Adversarial examples
- • Evasion attacks
- • Backdoor detection
- • Robustness testing
Recommendation Systems
Content recommendation, product suggestions, and personalization engines.
- • Bias amplification
- • Filter bubble creation
- • Manipulation attacks
- • Privacy leakage
Fraud Detection Systems
Financial fraud detection, anomaly detection, and security AI.
- • Adversarial evasion
- • False positive exploitation
- • Model inversion
- • Feature manipulation
Autonomous Systems
Self-driving cars, drones, robotics, and automated decision systems.
- • Sensor spoofing
- • Decision manipulation
- • Safety bypass
- • Edge case exploitation
Medical AI Systems
Diagnostic AI, drug discovery models, and healthcare decision support.
- • Diagnostic manipulation
- • Bias in treatment
- • Privacy violations
- • Safety critical failures
Red Team Attack Methodologies
Advanced techniques we use to test AI system security and robustness
Adversarial Attacks
Gradient-Based Attacks
FGSM, PGD, and C&W attacks to generate adversarial examples that fool models.
Black-Box Attacks
Query-based attacks when model internals are not accessible.
Transfer Attacks
Using surrogate models to generate attacks that transfer to target systems.
Physical Attacks
Real-world adversarial examples that work in physical environments.
Privacy & Data Attacks
Membership Inference
Determining if specific data was used in model training.
Model Inversion
Reconstructing training data from model outputs and parameters.
Model Extraction
Stealing model functionality through strategic queries.
Data Poisoning
Injecting malicious data to compromise model behavior.
Industry Standards Compliance
Our AI security assessments follow the latest industry standards and frameworks
OWASP Top 10 for Agentic Applications 2026
Following the latest security framework for AI agents and applications
We align our AI security assessments with the OWASP Top 10 for Agentic Applications 2026, the industry-standard framework for identifying and mitigating the most critical security risks in AI agent systems.
Our AI Red Team Process
Systematic approach to identifying AI vulnerabilities and security weaknesses
Reconnaissance
Understanding the AI system architecture, data flow, and potential attack surfaces.
Threat Modeling
Identifying potential threats, attack vectors, and adversarial scenarios specific to your AI system.
Attack Execution
Implementing various attack techniques to test system robustness and security measures.
Impact Assessment
Evaluating the severity of vulnerabilities and providing actionable remediation strategies.
Ready for AI Security Testing
We're prepared to secure your AI systems and machine learning models. Be among the first to benefit from our specialized AI red team expertise.
Frequently Asked Questions
Common questions about AI red team audits and security testing
What types of AI systems can you test?
We test all types of AI systems including large language models (LLMs), computer vision models, recommendation systems, fraud detection AI, autonomous systems, and medical AI. Our testing covers both cloud-based and on-premise deployments.
How long does an AI red team audit take?
The duration depends on your AI system's complexity. Simple models can be tested in 1-2 weeks, while complex multi-model systems may require 3-4 weeks. We provide detailed timelines during the scoping phase.
Do you follow industry security standards?
Yes, our AI security assessments align with the OWASP Top 10 for Agentic Applications 2026 framework, ensuring comprehensive coverage of the most critical AI security risks including prompt injection, training data poisoning, and model theft.
What deliverables do you provide?
You receive a comprehensive security report with detailed vulnerability analysis, risk assessment, proof-of-concept demonstrations, and actionable remediation strategies. We also provide an executive summary for leadership teams.
Can you test AI systems in production environments?
Yes, we can safely test production AI systems using controlled testing methodologies that minimize business impact. We also offer testing in staging environments that mirror your production setup.
How much does an AI red team audit cost?
Pricing varies based on system complexity, testing scope, and timeline. Our AI security audits typically start at $15,000 for simple systems. Contact us for a customized quote based on your specific requirements.
Test Your AI Security Today
Protect your AI systems with comprehensive red team testing from security experts.
