Security News > 2024 > March > Today’s biggest AI security challenges

The report surveyed 150 IT security and data science leaders to shed light on the biggest vulnerabilities impacting AI today, their implications for commercial and federal organizations, and cutting-edge advancements in security controls for AI in all its forms.

This has made AI security a top priority, with 94% of IT leaders dedicating funds to safeguard their AI in 2024.

Major types of attacks on AI and security challenges Adversarial machine learning attacks: Target AI algorithms with the aim to alter AI's behavior, evade AI-based detection, or steal the underlying technology.

89% express concern about security vulnerabilities associated with integrating third-party AIs, and 75% believe third-party AI integrations pose a greater risk than existing threats.

Secure development practices: Incorporate security into your AI development lifecycle.

Train your data scientists, data engineers, and developers on the various attack vectors associated with AI. Continuous monitoring and incident response: Implement continuous monitoring mechanisms to detect anomalies and potential security incidents in real-time for your AI, and develop a robust AI incident response plan to quickly and effectively address security breaches or anomalies.

News URL

https://www.helpnetsecurity.com/2024/03/07/ai-security-challenges/