Now in its 22nd year, SecureWorld Dallas brings the Dallas-Fort Worth security community together for a full day of keynotes, educational sessions, expert panels, and a busy exhibit hall, with CPE credits available for attendees. Bishop Fox is glad to be part of it this year, and we're bringing both our team and our research to Plano.

On the program, Brandon Kovacs joins a panel on the most targeted layer of any security program: people. AI hasn't changed who attackers go after, but it has changed how convincing they can be. Phishing now arrives personalized at scale, deepfake audio and video are undermining trust in internal communications, and MFA fatigue turns security controls against the users they protect. Moderated by Dr. Kimberly KJ Haywood, the panel looks at how defenders are pushing back with behavioral analytics, UEBA, and smarter governance of how employees use AI tools. Brandon brings the attacker's view. As a red team operator and recognized deepfake researcher, he has spent years testing how far AI-powered social engineering can actually go. If you own insider risk, security awareness, or identity programs, this panel belongs on your schedule.

You'll find our team at Booth 140 in the Networking Hall throughout the day. Stop by to talk red teaming, social engineering, or deepfakes, or just come say hello.

For more details, visit: SecureWorld Dallas 2026

"The Human Layer: Insider Risk, Behavioral Analytics, and the AI Threat Multiplier"

Speaker: Brandon Kovacs, Senior Security Consultant, Bishop Fox

Moderator: Dr. Kimberly KJ Haywood, Adjunct Cybersecurity Professor, Collin College

Date/Time: Thursday, October 8 | 2:10 - 2:45 p.m. CT

Location/Room: Northbrook I & II

Abstract: People have always been the most targeted layer in any organization's security posture—but AI is rewriting the rules of engagement. Sophisticated phishing campaigns now arrive personalized at scale, deepfake audio and video are eroding the credibility of internal communications, and MFA fatigue attacks are turning security controls against the users they were designed to protect. The threat surface hasn't changed, but the speed, precision, and plausibility of attacks targeting it have.

At the same time, defenders are gaining new tools. Behavioral analytics and UEBA platforms are surfacing anomalies that static rules would miss, and AI-assisted policy frameworks are helping organizations govern workforce behavior—including how employees interact with AI tools themselves—without sacrificing productivity. This panel brings together practitioners navigating insider risk, identity-based threats, and the governance questions that arise when the line between human error and AI-augmented deception becomes increasingly hard to draw.