We uncover the hidden weaknesses in your AI systems before they can be exploited.
An AI Penetration Test isn’t just about breaking into systems—it’s about outthinking the algorithms that now guard them. At Erebus Operation, we don’t treat AI like a black box; we dismantle its logic, stress its decision-making, and bend its predictive models until they reveal their blind spots. By simulating adversarial attacks, data poisoning, prompt manipulation, and model inversion, we uncover weaknesses that traditional tests can’t even see. This is where artificial intelligence meets artificial deception—and we prove whether your defenses can truly withstand it.
A high-level overview of the engagement, highlighting key findings, business risks, and the most critical vulnerabilities in plain language for executives and stakeholders.
An analysis of how attackers could target the AI system, including abuse cases, data poisoning risks, prompt injection threats, and adversarial input attacks.
Documentation of tests against the AI model’s inputs and outputs—covering prompt injections, jailbreak attempts, evasion techniques, and data leakage exposure.
Evidence of how carefully crafted inputs (text, image, or audio) can cause the AI to misclassify, hallucinate, or disclose sensitive data.
An evaluation of the model’s resilience against malicious or manipulated training data, with proof-of-concepts demonstrating how an attacker might influence outcomes.
Results showing whether the AI system is vulnerable to model stealing—where adversaries can replicate the model’s functionality or steal intellectual property.
A breakdown of discovered prompt manipulation methods that bypass safeguards or force the AI to produce unauthorized or harmful responses.
Security test results for the APIs, endpoints, and plugins the AI relies on, highlighting insecure configurations or exposures attackers could exploit.
An assessment of whether private or sensitive training data can be extracted or inferred from the AI’s responses.
Identification of unintended bias, discriminatory outputs, or reputational risks that may arise under adversarial or normal use.
A security evaluation of user authentication, API keys, tokens, and role-based access controls protecting the AI system.
A prioritized action plan that maps each finding to recommended fixes—technical patches, governance policies, and operational improvements.
After remediation, Erebus Operation provides a free retest within 30 days to verify that the fixes were effective, ensuring vulnerabilities are truly resolved.
Any company that develops, integrates, or relies on AI for decision-making, customer interaction, or data processing should undergo an AI Penetration Test—because the risk isn’t just about hackers breaking into your system, it’s about your own AI being tricked, manipulated, or leaking sensitive data. If your business is training proprietary models, handling private data, deploying chatbots, or integrating third-party AI APIs, you are already a target. Without an AI security test, you won’t know how easily an attacker can poison your data, steal your models, bypass your safeguards, or make your AI act against you—and ignorance in this space is not just risky, it’s potentially catastrophic for trust, compliance, and your bottom line.
An AI Penetration Test simulates real-world attacks against your AI models and their integrations to uncover vulnerabilities, manipulation risks, and data exposure before malicious actors exploit them.
If your business uses AI for decision-making, customer service, or handling sensitive data, you face unique risks such as data leakage, adversarial inputs, or model theft. An AI Pen Test exposes these threats before they damage your reputation or bottom line.
Traditional pen testing targets networks, apps, and infrastructure. AI Pen Testing goes deeper—examining model behavior, training data, prompt injection resilience, and adversarial attacks specific to AI systems.
We test a wide range: large language models, chatbots, recommendation engines, vision systems, voice recognition, and any API or platform that integrates AI into business workflows.
Common threats include prompt injection, data poisoning, model extraction, bias exploitation, adversarial inputs, insecure API integrations, and sensitive data leakage through model outputs.
No. We design all tests to be safe, controlled, and non-destructive. Our methods simulate real attacks without harming your model’s functionality or training environment.
The timeline depends on complexity, but most AI penetration tests are completed in 2–4 weeks, including reporting and remediation guidance.
You’ll get a detailed report with 13 deliverables, including threat modeling, adversarial testing results, data poisoning analysis, remediation roadmap, and a complimentary 30-day retest.
Any industry using AI at scale: finance, healthcare, legal, education, government, retail, or technology. If AI influences sensitive data or critical decisions, testing is vital.
Yes. Our tests help you align with emerging AI regulations and existing frameworks (HIPAA, PCI DSS, ISO 27001, NIST) by identifying risks and proving proactive AI security measures.
Pricing depends on system complexity and scope, but Erebus Operation offers flexible packages—making AI testing accessible to small businesses as well as large enterprises.
Yes. Erebus Operation provides a 30-Day Complimentary Retest to verify vulnerabilities have been remediated and confirm your AI system is secure moving forward.
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