Casco is a platform designed to validate the security, safety, and accuracy of AI applications and agents on a continuous basis. It aims to replace traditional security theater and superficial scans with a more robust approach to AI security.

Key Features:

• Advanced, tailored threat emulation: Casco provides tailored attacks for specific AI apps and agents using advanced reasoning and chain-of-thoughts, which is not possible with traditional scans.
• AI compliance guidelines: Casco's reports are readily reusable for SOC 2, NIST, and ISO compliance documentation.
• Forward-deployed security engineers: Casco offers security experts who can be embedded within a client's team and codebase to perform gray-box testing. These experts have experience from AWS, Microsoft, and the US Government.
• Actionable evidence for every finding: The platform provides step-by-step reproduction steps, explanations, and remediation steps for each finding, with the ability to connect to the codebase for suggested code fixes.

Use Cases:

• Securing AI systems and agents.
• Preventing security breaches that could lead to high-level testimony (e.g., CEO testifying before congress).
• Meeting AI compliance guidelines such as SOC 2, NIST, and ISO.
• Performing gray-box testing with embedded security engineers.
• Obtaining actionable evidence and remediation steps for security vulnerabilities in AI systems.

Benefits:

• Continuous validation of AI app and agent security, safety, and accuracy.
• More effective security than traditional scans due to tailored threat emulation.
• Streamlined AI compliance reporting.
• Access to experienced security engineers for in-depth testing.
• Clear, actionable insights for vulnerability reproduction and remediation.