To manage risk and build trustworthy AI systems, CIOs and IT leaders must start documenting the full stack of AI components: data, models and infrastructure, through an AI Bill of Materials (AIBOM).
Don’t lock yourself into yesterday’s passwords. Passkeys offer a modern, phishing-resistant way to log in. The best rollout plan is to ensure any passkey implementation aligns with user needs, accessibility, and cross-platform support.
Smaller organizations don’t need deep pockets to embed security into DevOps, they just need deeper integration. The smart play: start with threat modeling and automated scanning, then scale as capacity grows.
The hijacking of Elmo’s X (formerly Twitter) account is a Muppet-sized reminder that brand identity on social media is a prime target for cyber threats. CIOs must recognize that social platforms are not just marketing megaphones; they are also attack surfaces.
AI web crawlers that gather data for training AI models may be getting smarter, but they’re still falling for digital decoys dressed as juicy content. IT decision makers should not count on robots.txt compliance or rate limits alone; instead, they need layered defenses that actively deceive, delay and detect unauthorized scraping at scale.
Neuromorphic computing is now a strategic imperative for CIOs aiming to future-proof AI operations. With AI energy demands projected to escalate, integrating neuromorphic systems offers a path to reduced energy consumption, lower operational costs, and enhanced sustainability. Early engagement with this technology could provide a competitive edge in the evolving AI landscape.
