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AI cybersecurity involves safeguarding artificial intelligence (AI) systems from cyber threats, including the use of malicious software to attack or undermine them. This field of cybersecurity is a rapidly developing area, with new applications and capabilities being developed by security professionals.

The best AI cybersecurity tools protect against multiple types of cyberattacks, such as data exfiltration and unauthorized access to sensitive information. They can also discover unknown threats from vast volumes of data and network traffic that would otherwise go undetected by traditional systems.

Threat actors use many methods to target AI cybersecurity, such as generating inputs that mimic user behavior to evade detection or bypass security measures and algorithms. Another popular strategy is to exploit vulnerabilities in third-party components, libraries or modules used by AI systems, in what’s called supply chain attacks.

To prevent these risks, a strong AI cybersecurity solution must identify and mitigate them throughout the entire lifecycle of an AI model, from development to deployment. The solution should be able to detect misconfigurations, such as unsafe API calls or insecure data storage, and prioritize remediation based on risk, saving time and effort for the security team.

The open-source Purple Llama solution from Meta is a popular tool for assessing and improving the privacy, security and trustworthiness of generative AI models. This solution provides security benchmarks, input and output safeguards, and content moderation tools to improve trust and safety in the open AI ecosystem. It’s primarily designed for language models and dialog systems, but also offers features like prompt guard to secure prompt inputs against prompt injection and related cyber attacks.