Cybersecurity and AI: Understanding and Mitigating Common Cybersecurity Threats to AI Models

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Artificial intelligence (“AI”) is revolutionizing the workplace, and bringing with it unique cybersecurity challenges. With the increased prominence of AI also comes the need for new cybersecurity approaches.

As AI models are increasingly used in critical applications such as finance, health care, and national security, the potential for cyber-attacks targeting these systems is growing. The cybersecurity threats to AI models are new and distinct from more common and understood software exploits. Three of the most prevalent AI cybersecurity threats are data poisoning, evasion attacks, and confidentiality attacks. By understanding the unique vulnerabilities of various AI models, organizations can take steps to ensure the effective implementation of AI systems into their workplace while minimizing business risks.

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