… In reality, many consequential decisions happen outside of these applications, such as in email or team messaging. For example, a policy might state that discounts above a certain threshold require senior sign-off. …
… The remaining are navigating AI deployment while still constructing the foundations meant to underpin it. A growing gap between AI momentum and AI controls Across industries, enthusiasm for AI is undeniable. …
… The underlying weaknesses, however, remain consistent. Weak credential hygiene, excessive privileges and inadequate access controls continue to be the primary entry points for breaches. AI raises the speed limit on every attack, it does not rewrite the playbook. …
… Hold your vendors accountable by investing in like-minded organizations that have committed to full AI auditability and traceability, and integrate those controls with your existing monitoring platforms as they're introduced. …
… L4 – Near-Autonomous Enterprise , where an enterprise runs itself in purely AI agentic mode. AI agents plan, execute, monitor and correct execution within set policy constraints. …
… Policy-level controls do not prevent model memorization of private materials during training, inference time re-identification, or the logging of queries by a third-party API provider. …
… Recent government advisories show how these gaps are being exploited through phishing and impersonation campaigns targeting users of encrypted apps. These campaigns bypass encryption rather than breaking it. …
… TOPICS Craig Hale LATEST ARTICLES 1 Adobe's legal chief calls for creator protection as policymakers and tech companies reframe copyright in the era of AI 2 Microsoft's CEO promised the world to consumers in a speech about fixing Windows 11 — but one thing Satya Nadella said worries me 3 Verizon de…
… We did have the whitelist system for pre-approved access, and the 'Internet Pro' tier for people who paid. We’ll have to see what this really means, because there isn’t one consolidated policy. …
… Further, more bespoke oversight is also often demanded of operators in areas such as game fairness, random number generator testing, anti‑money laundering controls, geolocation restrictions, new market licensing conditions and even internal governance or board‑level reporting structures. …