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Preparing for the Next Generation of AI-Powered Cyber Threats

Key Insights

Generative AI is enabling more sophisticated social engineering, phishing, and fraud campaigns beyond what traditional defenses anticipate.

Rule-based detection methods are becoming less effective against novel AI-powered attacks.

Behavioral AI can help organizations identify and stop attacks that don't match known threat signatures.

Security leaders must shift focus from reacting to known threats to proactively preparing for emerging ones.

Behavioral security must extend protection across users, identities, email environments, and emerging AI technologies.

Artificial intelligence is transforming cybersecurity—for both defenders and attackers. In this interview, Abnormal CEO and Co-Founder Evan Reiser explores how AI-powered cyber threats are evolving, why traditional rule-based detection methods are becoming less effective, and how behavioral AI can help organizations identify and stop novel attacks.

Learn how generative AI is enabling more sophisticated social engineering, phishing, and fraud campaigns, and why enterprises must shift their focus from reacting to known threats to preparing for what's next. Reiser also discusses the growing importance of behavioral security, the human element in cybersecurity, and how organizations can use AI-driven security solutions to protect users, identities, email environments, and emerging AI technologies.

Watch the conversation to gain insights into the future of AI cybersecurity and the strategies security leaders can adopt to stay ahead of rapidly evolving threats.

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