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AI can be a powerful force multiplier for attackers and defenders alike, but it’s not without risks. As organizations increasingly adopt security AI, they must carefully plan their deployments and ensure they are getting the most return on their investments.

A few mistakes or weaknesses can quickly derail even the best AI tools. Companies that rush to deploy buzzy chatbots or other automation programs may unwittingly introduce a new way for hackers to push malicious code into their systems or gain access to users’ data or security credentials. And the algorithms themselves must be carefully assessed for vulnerabilities. A few recent examples have demonstrated the potential dangers: Researchers at OpenAI and Anthropic uncovered hacker groups using their own AI models to accelerate and scale their attacks.

The most effective AI cybersecurity solutions integrate seamlessly with the organization’s current IT architecture and can automatically prioritize alerts for rapid action. They also help CISOs identify root causes to prevent the recurrence of threats and reduce the impact of breaches by identifying and mitigating vulnerabilities as they occur.

Some of these systems include AI for threat detection and response, which can sift through massive volumes of logs and other data to identify unusual or suspicious activity that could indicate an attack, and then shut off access to the affected area. Others take a proactive approach, like Cylance’s AI-driven endpoint protection platform, which enables security teams to halt attacks in their earliest stages. Its forensic capabilities offer efficient searches across huge datasets and help contextualize discovered indicators, including those found on dark web marketplaces and forums.