Cybersecurity Consulting Firm – Cyber Castellum

Our Services

AI Adversarial Testing

15% of employees routinely access generative AI on corporate devices. Organizations deploying AI without security testing are creating new attack surfaces that adversaries are already exploiting.

Unchecked AI systems can be manipulated by adversarial inputs.

Test Your AI Systems the Way Adversaries Will

Mitigate AI
Specific Threats,
Before Attackers Do

Modern AI systems introduce a new class of vulnerabilities that traditional security testing does not detect. LLMs and machine‑learning pipelines can be manipulated to undermine system integrity, expose sensitive information, and erode trust in AI‑driven decisions—often without triggering conventional security controls.

If your organization is deploying AI, adversarial testing is no longer optional. AI systems introduce new attack surfaces that bypass conventional security control.

Artificial Intelligence
OUR APPROACH

Test AI Systems the Way Adversaries Will

AI Adversarial Testing evaluates machine learning models and AI-integrated systems against intentionally misleading or malicious inputs designed to cause failures, bypass controls, or extract sensitive information. As AI becomes embedded in critical business processes, the security of these systems becomes mission-critical.

  • Prompt injection and jailbreak testing for LLM-integrated applications
  • Model evasion and adversarial example generation
  • Data poisoning vulnerability assessment
  • Sensitive data and training data extraction attempts
  • AI supply chain and model integrity assessment
FEATURES

What You Get with Our AI Adversarial Testing

Prompt Injection & Jailbreak Testing

We test AI systems and LLM-integrated applications for prompt injection and jailbreak vulnerabilities that could bypass safeguards, manipulate system behavior, or expose restricted information.

Model Evasion & Adversarial Input Testing

We use carefully crafted adversarial inputs to identify weaknesses that may cause AI models to misclassify, produce unsafe results, or bypass intended controls.

Data Poisoning Vulnerability Assessment

We assess AI systems and their data pipelines for weaknesses that could allow manipulated or malicious data to affect model behavior, accuracy, or reliability.

Sensitive Data & Training Data Extraction Testing

We test whether AI systems can be manipulated into revealing sensitive information, confidential data, or unintended details from training and connected data sources.

AI Supply Chain & Model Integrity Assessment

We evaluate models, datasets, third-party components, and AI dependencies to identify risks that could affect the integrity and security of your AI environment.

Adversarial AI Security Testing

Our testing evaluates AI systems against realistic attack scenarios to identify weaknesses across the model, application, data, and supporting AI infrastructure.

Shape

Can Your AI Stand Up to Attack?

Book a free consultation to test your AI against manipulation, misuse, and malicious inputs.

Book Free Consultation
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