Safe AI Adoption Rests on Cybersecurity Professionals, Says RSAC Chairman

Why It Matters

Empowering cybersecurity teams to steer AI use protects enterprise data and sustains market confidence as AI becomes both a defensive tool and an attack vector.

Key Takeaways

• AI boosts security team productivity dramatically
• 83% of phishing now incorporates AI-generated content
• 40% of BEC attacks leverage generative AI tools
• Cyber pros must lead AI safety and governance

Pulse Analysis

Artificial intelligence is reshaping the cybersecurity playbook, giving defenders unprecedented automation and analytical depth. Machine‑learning models can sift through massive log files, prioritize alerts, and even generate response scripts, cutting incident‑response times and freeing analysts for strategic work. This productivity surge, however, is a double‑edged sword; the same generative models that draft remediation playbooks are also being weaponized to craft convincing phishing lures and spoofed communications, raising the bar for threat detection.

The threat landscape has evolved into a race where AI accelerates both offense and defense. Recent Kaseya research shows that 83% of phishing emails now embed AI‑crafted content, while 40% of business email compromise schemes rely on generative AI to mimic legitimate correspondence. These figures illustrate an inflection point: malicious actors are no longer experimenting but deploying AI at scale, forcing enterprises to rethink traditional security controls. Robust AI governance, continuous model monitoring, and adversarial testing are becoming essential components of a resilient security architecture.

Against this backdrop, the cybersecurity community’s cohesion is paramount. RSAC’s 2026 conference underscored the need for collective action, with leaders like Thompson and Jen Easterly urging professionals to take ownership of AI stewardship. By fostering cross‑functional dialogue, sharing threat intelligence, and establishing industry standards, security teams can turn AI from a liability into a strategic advantage, safeguarding data integrity while maintaining the trust that modern digital economies demand.