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Detect and prevent AI threats in real time. Identify malicious AI behavior, defend against attacks from third-party and shadow AI apps, and protect your own AI operations and models.

Stronger security measures and tools

AI cybersecurity tools use machine learning to study how a system typically behaves and then find unusual activity that could indicate a threat. This enables them to detect breaches, ransomware, and other cyberattacks early on and stop them from doing serious damage.

For example, if an attacker uses generative AI to impersonate someone high-profile like a company CEO, these tools would recognize that behavior and block it in real time. The result is stronger threat detection and faster response that can save a business money and reputational damage.

Streamlined Operations

By minimizing false positives and automating repetitive tasks, AI cybersecurity tools let security professionals focus on high-priority investigations. They can also better assess and prioritize vulnerability management by identifying weak points in a company’s systems and networks.

Enhanced threat hunting

Using advanced algorithms, AI tools scan dark web and other digital channels for signs of malware or other types of threats. They then analyze those indicators to understand their significance and provide deeper analysis for security teams. For example, Vectra’s XDR platform is powered by AI to help teams find and investigate emerging risks and quickly prioritize actions.

When choosing an AI cybersecurity tool, look for one that integrates with your existing technology infrastructure and can scale to your organization’s needs. Consider how the tool will work with your current workflows and what skills and training it requires to operate. CISOs should ask their AI vendors about their approach to governance and safeguards, as well as review master service agreements.