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AI Pen Testing

AI-powered penetration testing leverages advanced artificial intelligence to simulate cyberattacks, uncovering hidden vulnerabilities across systems, networks, and applications. This cutting-edge approach boosts security by automating threat detection, streamlining processes, and delivering sharper, more comprehensive insights into potential risks lurking within digital environments.

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The rise of AI-powered attacks

93% of businesses expect to face daily AI attacks over the next year (source)

Global problem for security teams

Deepfake attacks are projected to increase 50% to 60% in 2024, with 140,000 to 150,000 global incidents (source)

Preventing AI powered attacks

60% of IT professionals feel their organizations are not prepared to counter AI-generated threats (source)

Maintain compliance and secure releases

73% of cybersecurity teams want to shift focus to an AI-powered preventive strategy (source)

Your AppSec super power for automated and secure LLM Red Teaming

Using both an attack library and an LLM agent based solution for red teaming, Recon evaluates the security and safety of GenAl systems.

Automated Red Teaming

Utilize the comprehensive attack library to run detailed, automated LLM attacks based on categorized threat profiles, including jailbreaks, prompt injection attacks, and input manipulations—essential for preserving the integrity and security of AI systems.

Human Augmented

Develop targeted attack objectives tailored to your LLMs, incorporating business-specific goals for sectors like finance, healthcare, customer service, and beyond. This approach ensures a sharp, focused simulation that delivers attack insights most relevant to your business needs.

Customized attack libraries

Recon comes pre-loaded with a library of over 20,000 known vulnerabilities specifically designed to target GenAI systems, enhancing their safety and security. This attack library is updated weekly with the latest techniques and tactics, and also offers the ability to integrate your own threat research, ensuring your systems are fortified against known risks.

 

No-Code Integration, Base model agnostic

In under 5 minutes, begin scanning your custom endpoints for vulnerabilities using any base model. Automated scans run asynchronously, and your team will be notified once the scan is finished.

Security testing for LLM-enabled applications and APIs

Proactively safeguard your apps by incorporating pen-testing into your application development lifecycle.

  • Secure both applications and networks
  • Defend against common LLM exploits, including prompt injection attacks, jailbreaks, and insecure output handling
  • Gain insights into the unique risks associated with generative AI
  • Collaborate with seasoned pen-testers, including over 3 dozen Cobalt Core members specializing in LLM testing

Key Features

LLM Category
Attack Coverage

RESOURCES

The latest thinking in offensive security