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COMPLIANCE

AI hiring tools are under increasing regulatory scrutiny. NYC Local Law 144, the EU AI Act, and state-level bias laws require companies to audit their AI-powered hiring and employment decision tools. We help you stay compliant — and prove it.

OVERVIEW

Our AI Security Deep Assessment goes beyond surface-level scans to test the full AI application layer. For companies using AI-powered features — chatbots, copilots, hiring tools, recommendation engines — we test for prompt injection, jailbreaks, data leakage, and unsafe outputs.

Every assessment is mapped to the OWASP Top 10 for LLMs, giving you a clear picture of where your AI systems are vulnerable and exactly how to fix them. Results delivered in 2 weeks.

THE PROBLEM

Most companies deploying AI have no idea how vulnerable their systems really are:

  • Prompt injection — attackers can manipulate your AI into ignoring its instructions, bypassing safety guardrails, or executing unauthorized actions
  • Data leakage — your AI may expose training data, customer PII, internal documents, or proprietary information when prompted the right way
  • Jailbreaks — creative prompting techniques can force your AI to produce harmful, biased, or brand-damaging content
  • Unsafe outputs — hallucinations, incorrect advice, or harmful recommendations that create legal and reputational risk

Traditional penetration testers don’t know how to test AI systems. We do — it’s what our team was built for.

METHODOLOGY

Our testing methodology is rooted in the OWASP Top 10 for Large Language Model Applications and draws from real-world AI red teaming experience at Meta. We test across these categories:

  • Prompt injection (direct and indirect)
  • Insecure output handling
  • Training data poisoning vectors
  • Model denial of service
  • Supply chain vulnerabilities in AI components
  • Sensitive information disclosure
  • Insecure plugin/tool design
  • Excessive agency and permission escalation
  • Overreliance and hallucination exploitation
  • Model theft and intellectual property exposure

PROCESS

  1. Discovery & Scoping (Day 1-2) — We map your AI architecture: models used, integration points, data flows, and user-facing touchpoints. We define testing boundaries and objectives.
  2. Automated Scanning (Day 2-3) — We run specialized AI security tools against your endpoints to identify known vulnerability patterns and configuration issues.
  3. Manual Red Teaming (Day 3-10) — Our team manually crafts adversarial prompts, tests edge cases, and attempts to break your AI’s safety controls. This is where we find the vulnerabilities no scanner can detect.
  4. Impact Analysis (Day 10-11) — We assess the business impact of each finding: data exposure risk, compliance implications, and potential for abuse.
  5. Report & Walkthrough (Day 12-14) — We deliver a comprehensive report and walk your team through every finding with remediation guidance.

DELIVERABLES

  • OWASP LLM Top 10 Assessment Report — Every finding mapped to the OWASP framework, with severity ratings and real-world exploit demonstrations
  • Executive Summary — Board-ready overview of your AI risk posture with clear business impact analysis
  • Prompt Attack Catalog — Documented adversarial prompts that successfully bypassed your AI’s controls, so your team can build defenses against them
  • Remediation Roadmap — Prioritized fix recommendations with implementation guidance for your engineering team
  • Free Retest — After you implement fixes, we retest to verify your remediations are effective

IDEAL CLIENTS

  • Companies building AI-powered products (chatbots, copilots, assistants)
  • Enterprises integrating LLMs into internal workflows
  • AI startups preparing for enterprise sales or SOC 2 compliance
  • Companies deploying AI in regulated industries (fintech, healthcare, legal)
  • Organizations that need AI risk assessments for board or investor reporting
  • Teams using third-party AI APIs and want to understand their exposure

INVESTMENT

Starting at $12,000

Pricing depends on the complexity of your AI systems, number of models and endpoints, and depth of testing required. Most engagements fall between $12,000-$30,000. We provide a fixed-price quote after the scoping call.

Need a Bias Audit Report?

Book a free scoping call. We’ll review your AI systems, identify your risk surface, and give you a fixed-price quote — no obligation.

Get in touch

Ready to Test Your AI? Let's Talk.

Book a free scoping call. We’ll review your AI application, identify your attack surface, and give you a fixed-price quote — no obligations.

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