The latest on security from Google Cloud's Office of the CISO, twice a month. Welcome to the first Cloud CISO Perspectives for August 2026. Today, Chris Betz explains why the AI era makes it more important than ever to lean into security fundamentals. Our curated insights hub for boards of directors highlights resources on cybersecurity, risk governance, and security transformation, including the latest blogs and research from Google Cloud. As AI accelerates the capabilities of adversaries, foundational strength becomes the primary differentiator between resilience and vulnerability.
It’s a dangerous and unfortunately common misconception that traditional security fundamentals are becoming obsolete. For CISOs, the challenge is to adopt new AI technology securely while scaling essential, effective defensive practices to move at the speed of the adversary. For both attackers and defenders, AI has been a catalyst for optimization and innovation. While traditional automation has allowed us to perform repetitive tasks at scale, AI enables both sides to execute highly-specific, customized actions at massive scale and unprecedented speed. We can see the threat developing almost in real-time.
Adversaries are deploying new malware with just-in-time AI that dynamically generates malicious scripts and obfuscates code mid-execution to evade detection. They use sophisticated vishing and deepfakes for identity theft and business email compromise. We even see unauthorized AI tools lead to the rise of shadow agents. Defending against AI powered security threats requires more than accelerating current security practices; it means stepping back and beginning with the security foundation and layered defenses.
It’s critically important to build and use a layered defense with the right guardrails — foundational cybersecurity building blocks that we’ve been investing in for years. Doubling down on this foundation: technologies like multi-factor authentication (MFA), Zero Trust frameworks , consistent system patching, and comprehensive detection and response. Collectively, these technologies reduce the attack surface and contribute to the deep context that defensive AI needs to be a business enabler — and create the necessary conditions for successful AI-powered defenses.