AI system drift presents a communication challenge between CISOs and their stakeholders. Enterprise colleagues are bound to ask, "If you're so sure that this AI-powered SaaS solution doesn't use or store any of our data, how does drift occur between vendor releases?"...
Cybersecurity, Data, and Design
Heath Nieddu Phd(c), CISSP, MBA, GCIH
Observability in AI Security: Learning from the Failures of Security Metrics
For years, cybersecurity has struggled with measuring performance, risk, and return on investment. Security teams built dashboards, defined KPIs, and attempted to quantify risks, often with increasing levels of sophistication. Yet many of these efforts ultimately...
AI Innovation Isn’t Always Disruptive to Firms—But It’s Almost Always Disruptive to IT Pros
Summary: Much of the current discourse about artificial intelligence hinges on whether it qualifies as a “disruptive innovation,” a term coined by Clay Christensen in the 1990s to explain why large firms lose their edge to unexpected competitors. But for IT and...