AI is transforming the cybersecurity landscape—empowering attackers with powerful new tools while offering defenders a chance to fight back. But without stronger awareness and strategy, organizations risk falling behind.
Despite massive investment, the explosion of sophisticated malware and deepfake attacks persists because organizations struggle to verify digital identities and establish fundamental trust.
Trying to block AI tools outright is a losing strategy. SaaS and AI are increasingly inseparable, and AI isn’t limited to tools like ChatGPT or Copilot anymore.
The advantages AI tools deliver in speed and efficiency are impossible for developers to resist. But the complexity and risk created by AI-generated code can’t be ignored.
Subscribe to the SecurityWeek Email Briefing to stay informed on the latest threats, trends, and technology, along with insightful columns from industry experts.
Learn about Frontier Pace Governance: a practical approach to helping IT operations move at AI speed without sacrificing security, accountability, or operational discipline.
Join as we decipher the world of zero trust and share war stories on securing an organization by eliminating implicit trust and continuously validating every stage of a digital interaction.
As AI accelerates vulnerability discovery and exploitation, so-called virtual patching still comes down to defense-in-depth and strong application security fundamentals.(Joshua Goldfarb)
- AI, supply-chain exposure, quantum computing and geopolitical conflict are testing security programs. Preparing for disruption must become part of day-to-day operations.(Steve Durbin)
Point-in-time audits and sampled assessments offer only snapshots; continuous control monitoring provides evidence that security controls are working today.(Sravish Sridhar)