Adversarial security testing for AI systems that saves time and money
Simulate real-world attacks on your large language models, chatbots, and generative AI products. Fully aligned to OWASP LLM Top 10 vulnerability categories.
Assess ML training pipelines, data ingestion, model serving infrastructure, and MLOps tooling against adversarial threats from supply chain to deployment.
Beyond point-in-time assessments — subscribe to ongoing adversarial testing that evolves as your models do, with monthly reports and 24/7 expert access.
Every engagement maps to the OWASP Top 10 for LLM Applications — the industry standard for AI security risk
| ID | Vulnerability | What We Test | Risk Level |
|---|---|---|---|
| LLM01 | Prompt Injection | Direct & indirect injection attempts to hijack model behavior, override system prompts, and exfiltrate data through crafted user inputs and embedded instructions. | Critical |
| LLM02 | Insecure Output Handling | Downstream exploitation of unvalidated LLM outputs — XSS, SSRF, remote code execution, and CSRF triggered via LLM-generated content reaching other systems. | High |
| LLM03 | Training Data Poisoning | Manipulation of training datasets and fine-tuning pipelines to introduce backdoors, biases, or malicious behaviors that persist in model outputs after deployment. | Critical |
| LLM04 | Model Denial of Service | Resource-exhaustion attacks via computationally expensive prompts, recursive context flooding, variable-length input abuse, and token manipulation attacks. | High |
| LLM05 | Supply Chain Vulnerabilities | Risks in third-party models, datasets, plugins, pre-trained weights, and model hub packages used in your AI stack — including dependency confusion scenarios. | High |
| LLM06 | Sensitive Information Disclosure | Extraction of PII, trade secrets, API keys, system prompts, and confidential training data embedded in model outputs through targeted adversarial prompting. | Critical |
| LLM07 | Insecure Plugin Design | Exploitation of LLM plugins and tool-use integrations — parameter injection, privilege escalation, and unauthorized API calls executed via malicious agent actions. | High |
| LLM08 | Excessive Agency | Testing AI agents granted overly broad permissions — identifying scenarios where the model takes unintended high-impact real-world actions autonomously. | High |
| LLM09 | Overreliance | Assessing business processes that depend on LLM outputs for critical decisions without sufficient human oversight, validation controls, or automated fallback mechanisms. | Medium |
| LLM10 | Model Theft | Extraction attacks to replicate proprietary model behavior, weights, or training data through systematic API querying, output analysis, and membership inference techniques. | High |
Specialized red team capabilities across every dimension of AI and ML security
A structured engagement lifecycle aligned to OWASP, MITRE ATLAS, and NIST AI RMF
Define AI assets, attack surfaces, threat actors, and OWASP LLM categories in scope.
AI-assisted OSINT on model versions, endpoints, training sources, and third-party integrations.
Execute multi-vector attacks — prompt injection, extraction, poisoning, and agent exploitation.
Chain AI vulnerabilities to achieve real-world impact: data exfiltration, infrastructure compromise.
Simulate attacker end goals: model theft, sensitive data extraction, or AI service disruption.
Executive summary and full technical report with OWASP mapping and remediation roadmap.
Advanced AI red teaming capabilities that don't break the bank
Our operators use AI tools to accelerate attack generation, OSINT, and adversarial prompt crafting — delivering deeper OWASP coverage in less time.
Every engagement is structured around the OWASP Top 10 for LLM Applications, ensuring comprehensive and industry-recognized risk coverage for your AI systems.
Kick off your AI red team engagement in days, not weeks. Streamlined scoping and onboarding built for fast-moving AI development teams.
Reports structured to satisfy SOC 2, ISO 27001, EU AI Act, and NIST AI RMF audit requirements, saving you time with regulators and auditors.
AI models evolve constantly. Subscribe to ongoing adversarial testing to stay ahead of new threats with every model release and fine-tuning cycle.
Direct access to your assigned AI red team lead throughout the engagement. No tickets, no delays — expert answers when you need them most.
Get a complimentary AI attack surface analysis and custom red team proposal — aligned to OWASP LLM Top 10, no commitment required.
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