Rob Gurzeev on Why AI Has Changed Cybersecurity’s Biggest Blind Spot
What happened
Rob Gurzeev, CEO and co-founder of CyCognito, explains how artificial intelligence is reshaping cybersecurity by expanding the attack surface that organizations must defend. AI accelerates software development and deployment, which creates more internet-facing assets beyond traditional firewalls and known vulnerabilities. The security challenge is no longer just spotting familiar weaknesses but understanding the constantly evolving external environment these assets expose.
The risk
AI-driven innovation inflates the number and complexity of potential entry points for attackers. Organizations struggle to map all external assets accurately because rapid changes happen outside their direct control. Attackers can exploit unknown vulnerabilities or misconfigurations on any exposed system, increasing the chances of unnoticed breaches. The blind spot in cybersecurity grows as AI-driven systems generate assets faster than traditional risk management can track.
Why it matters
Security teams must shift focus from patching known vulnerabilities inside the perimeter to continuously discovering and analyzing all internet-facing systems—in some cases, ones they don’t even realize exist. This requires automated external attack surface management grounded in AI and machine learning to uncover hidden risks. For businesses, this means security budgets and tools will need to adapt, prioritizing external visibility and proactive defensive measures over reactive vulnerability fixes.
Who should pay attention
Founders, security leaders, and infrastructure operators need to integrate AI-powered attack surface management into their risk strategies. Investors evaluating cybersecurity companies should value those addressing this blind spot in external asset detection and prioritization. Buyers of cybersecurity solutions must push vendors on how their products handle rapid infrastructure changes fueled by AI-driven development.
What to watch next
Expect advances in AI-based external risk discovery tools that use continuous, real-time scanning combined with context-aware risk analysis. Vendors that can automate the full pipeline of asset identification, risk prioritization, and remediation guidance stand to gain. Watch how regulatory demands evolve as external attack surfaces expand, potentially pressuring organizations to prove they know their entire digital footprint.
AI Quick Briefs Editorial Desk
