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Catching What Others Miss: Smarter Protection for Modern Email Threats

Watch this Abnormal AI webinar with Jihad Nance and Pegasystems’ Steve Tieland to learn how AI-native protection outpaces modern threats.

Key Insights

Legacy SEGs rely on static rules and signatures, leaving gaps against AI-fuelled, socially engineered email attacks.

Payload-less threats require behavioral detection that learns normal patterns rather than matching known signatures.

Replacing a SEG reduced SOC workload and reclaimed analyst time, per Pegasystems Sr. Director Steve Tieland.

Generative AI is accelerating email threat evolution, making real-time adaptive defenses a necessity over legacy tools.

Email threats are evolving faster than ever—fuelled by generative AI and designed to exploit human trust. Legacy secure email gateways rely on static rules and signatures, leaving organizations vulnerable to advanced, socially engineered attacks that look legitimate but cause real damage.

Security teams can’t afford to chase every alert or manually tune rules. They need an approach that adapts in real time—learning what’s normal to automatically stop what’s not.

In this session, Steve Tieland, Senior Director of Corporate Security Operations at Pegasystems, who shares his firsthand experience replacing the SEG and the measurable business impact of making the shift.

Watch this on-demand webinar to learn:

  • Strengthen defenses against advanced social engineering attacks

  • Detect novel, payload-less threats without static rules or signatures

  • Reduce SOC workload and reclaim valuable analyst time

  • Protect your organization from costly financial fraud


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See Abnormal in Action

See how behavioral AI detects the attacks that legacy defenses miss.