Page 263 - Cyber Defense eMagazine RSAC Special Edition 2025

attacks. AI-native security automates threat detection, fraud prevention and real-time incident
response.
• Combating AI-Generated Threats: Organizations must match the attacker’s AI-driven assault.
AI-native defense can protect every attack vector—users, apps, authentication, networks, and
systems better and faster than any manual approach. Static defenses cannot keep pace. Security
updates must occur at AI speed.
• Eliminating Friction in SecOps & DevSecOps: AI optimizes security workflows, reducing
manual work, decision making, and validation. AI should fully automate security in software
development and decision-making, compliance, detection, and response in production. Security
must keep pace with AI adoption across the enterprise.

Final Thoughts: Don’t Fight AI—Embrace AI

As cyber threats scale exponentially, cybersecurity teams across all functions must leverage AI’s
efficiency and adaptability. AI amplifies cyber threats, creating new attack vectors at unprecedented
speed. Cyber teams that resist AI-Native defenses risk being outpaced by AI-driven adversaries, butting
the business at substantial risk.

Cyber teams must move past AI and LLM risk evaluations and transition to AI-native cyber defense
models. The lesson from Nokia’s downfall is clear: move too slowly, and obsolescence is inevitable.

About the Author

Tom Tovar is the co-creator and CEO of Appdome – the industry’s first
platform to automate mobile app protection. A growth entrepreneur and
technology leader, Tom has a passion for building products that
dramatically improve life and work. At Appdome, his mission is to secure
the mobile app economy from the ground up while pioneering a new era
of DevSecOps platforms designed to deliver more protection with less
work and protect mobile apps, mobile customers, and mobile
businesses faster and easier for everyone. Tom can be reached at the
Appdome company website, www.appdome.com.

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