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AI & LLM Penetration Testing

Secure Your AI: Uncover Hidden Vulnerabilities in Large Language Models (LLMs)

The immense power and potential of Artificial Intelligence (AI) also introduce unique security risks. Proactively address these risks with specialized penetration testing for AI and LLMs. Protect your users, data, and reputation.

Why Test Your AI & LLMs?

AI Security Concerns Rise:
Traditional security measures miss the mark. Uncover unique vulnerabilities specific to LLMs.

Unique LLM Vulnerabilities:
Protect against prompt injection, data poisoning, model inversion, and more. These can lead to data breaches, unauthorized actions, and compromised models.

Enhanced Reliability:
Don't wait for a breach. Identify and address risks before attackers exploit them. Ensure secure, reliable, and ethical AI operation.

 

AI & LLM Penetration Testing Service

Our approach with

AI/LLM Penetration Testing


  1. Scoping & Threat Modeling: We collaborate to define the test scope, identify critical assets, and create a threat model tailored to your LLM use cases.

  2. Vulnerability Assessment: Our experts use advanced tools and techniques to assess your LLM for vulnerabilities such as:

    • Prompt Injection Attacks: Manipulating LLM inputs to reveal sensitive information or execute unauthorized actions.

    • Data Poisoning: Injecting malicious data into training sets to compromise model accuracy or behavior.

    • Model Inversion Attacks: Extracting sensitive training data from LLMs.

    • Adversarial Examples: Crafting inputs that trigger unexpected LLM behavior.

    • API Vulnerabilities: Identifying weaknesses in APIs used to interact with your LLM.



  3. Exploitation & Impact Analysis: We attempt to exploit identified vulnerabilities to assess their potential impact on your organization, including data breaches, service disruptions, and reputational damage.

  4. Remediation Guidance: We provide detailed, actionable recommendations for addressing each vulnerability, prioritized by severity and potential impact.

Benefits of testing your AI/LLM


  1. Strengthen Your AI Security Posture: Mitigate potential risks and safeguard your AI investment.

  2. Protect Sensitive Data: Ensure compliance with regulations and protect sensitive information.

  3. Increase User Trust: Build confidence in your AI-powered applications with robust security.

Ready to Test Your AI/LLM Models?

Meet

The head of our Offensive security unit

Ignacio Perez is a cybersecurity leader with over a decade of experience in safeguarding systems and networks from cyber threats. His relentless curiosity and passion for technology have propelled him to the forefront of the cybersecurity landscape. Throughout his career, Ignacio has honed a diverse skill set encompassing vulnerability analysis, incident response management, and the development of comprehensive cybersecurity policies.

He is recognized for his proactive approach, always anticipating potential vulnerabilities and designing robust defenses. Ignacio's commitment to the cybersecurity field extends beyond his professional endeavors. He is a dedicated participant in Capture The Flag (CTF) competitions, continuously testing and refining his technical acumen while engaging with the broader cybersecurity community. As the founder and leader of a thriving cybersecurity community, Ignacio is deeply invested in knowledge sharing and collaborative problem-solving.

He has cultivated an environment of continuous learning, where members exchange experiences and strategies to navigate the ever-evolving cybersecurity landscape. Ignacio Perez is a cybersecurity expert whose curiosity and commitment are driving forces in the field. His leadership in the community and dedication to proactive defense make him a key contributor to the advancement of cybersecurity practices.