News Summary:
Zvelo, on February 17, 2026, discussed the inevitability of AI model drift in modern security environments, explaining that as data, content, and threat behaviors evolve, AI systems lose accuracy, leading to degraded classifications and unreliable intelligence without human supervision. Earlier, on February 5, the company highlighted that the adoption of agentic AI within SaaS applications exposes a fundamental weakness in modern security models, as these AI agents inherit trust inside applications without independent evaluation. This follows Zvelo's analysis on January 29, which argued that embedded AI fundamentally changes how sensitive data is accessed, processed, and exposed in approved SaaS apps, necessitating new security architecture due to the breakdown of Data Security Posture Management (DSPM). The company initially explored this issue on January 22, detailing how DSPM, designed to identify sensitive data location and exposure, becomes ineffective in AI-enabled SaaS applications. Previously, on January 6, Zvelo identified a fundamental shift in SaaS application security, noting that AI-enabled apps introduce new capabilities and data flows, creating visibility gaps that traditional security platforms, which infer behavior from vendor identity, are not designed to surface.
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