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Artificial intelligence (AI) is being woven into a vast array of systems to automate, analyze and improve current processes. While it will never replace security professionals, AI can and already does assist cybersecurity teams by analyzing huge volumes of data to identify patterns, predict threats, read source code and identify vulnerabilities that would take hours or weeks for human analysts to discover.

But while incorporating AI into your security arsenal offers a significant edge against cyberattacks, it’s also important to understand how hackers might use AI to bypass or exploit your defenses. Cybercriminals are constantly adjusting their tactics to resist the latest AI cybersecurity tools and to create new forms of malware, viruses and phishing attacks.

Robust AI is built to withstand the intentional and unintentional interference of humans and can detect anomalies that aren’t detected by conventional technologies, including false positives that could overwhelm cybersecurity systems and lead to ineffective responses. It also identifies root causes of attacks and vulnerabilities, helping to remediate problems faster and reduce the impact of breaches.

To help protect against these attacks, organizations can implement explicit AI security strategies that guide how stakeholders develop, deploy and manage AI systems. This includes compartmentalizing AI workflows to ensure only trusted data is used during training and to avoid manipulation. It also involves establishing data governance and risk management practices that minimize vulnerability to accidental or malicious interference. Finally, it requires regular updates to keep AI models up-to-date with the most recent threat information.