Red Team & Autonomous AI Simulations
Stress-test your AI pipeline against real adversaries.
We simulate advanced, goal-driven, and adaptive attacks against your AI systems to uncover exploitable weaknesses before attackers do. From prompt injection to model abuse, we replicate real-world TTPs to reveal the cracks.
Designed for:
AI Assistants & Chatbots
LLM APIs & System Prompts
RAG Pipelines & Memory Chains
LangChain + Function-Calling Agents
LLM-as-a-Service Platforms
Any Business-Critical AI Endpoint
Deliverables
What We Deliver
Full-spectrum AI Pentest. Real-world exploits. Complete analysis.
AI Pipeline Adversary Simulation
End-to-end stress testing of training data, models, APIs, and deployment logic.
Autonomous Pentest Modules
AI agents perform reconnaissance, exploit generation, and adaptation without human intervention.
Scenario-Based Exploitation Chains
Chainable exploits mimicking actual threat actor behavior across complex AI environments.
Model-Specific Vulnerability Testing
Detect adversarial examples, prompt injections, backdoors, evasion & extraction.
Infrastructure & API Security Validation
Analyze access control, container layers, and orchestration security.
Live Feedback & Replayable Campaigns
Attack logs, metrics, and playback of threat paths for iterative improvement.
Realized
What CQR’s AI Red Teaming Covers
Comprehensive Testing of Your Entire AI Stack
Category
Covered Threats
Data & Training
Data poisoning, privacy leakage, membership inference
Model Behavior
Adversarial examples, prompt injection, model extraction, backdoors
Runtime API Layer
Prompt-based abuse, output manipulation, unauthorized access
Infrastructure & Orchestration
Access control misconfigurations, container escape, system abuse
Red Team Scenarios
Goal-oriented misuse, jailbreaks, classification manipulation, bias triggering
Adaptive Attack Agents
Self-improving LLM-based attackers using fuzzing, feedback loops, and threat intelligence
Process
How we Operate?
AI vs AI — Autonomous & Persistent Attack Simulation.
AI Recon & Mapping
1Exploit Generation
2Scenario-Based Execution
3Autonomous Adaptation
4Metrics & Reporting
5Industries
WHO NEEDS AI FIREWALL PROTECTION?
Whether you build, integrate, or expose LLMs — unprotected systems are at risk. This service protects AI in regulated industries, customer-facing platforms, and developer tools.
Startup
Validate AI safety from day one.Detect early-stage risks across training, prompts, and behavior.
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Adversarial Prompt Testing
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Scenario-Based Misuse Simulation
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Autonomous Recon & Fuzzing
Mid-Market SaaS
Protect your users, APIs, and integrated models.Evaluate cross-system threats and lateral AI abuse.
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API & Plugin Security Checks
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Real-Time Exploit Replay
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Adaptive Adversarial Chains
Enterprise
Harden your AI infrastructure at scale.Secure training, orchestration, and inference pipelines against red team-level attacks.
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Cross-Stack AI Exploits
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Impact-Centric Metrics
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LLM vs LLM Red Teaming
Contact us
Let`s Talk
Take AI Assistant and lets talk about your security.
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