AI SaaS in Zero-Trust Security Frameworks

Zero‑trust shifts security from implicit trust on the network to continuous, context‑aware verification of identity, device, application, and data. AI‑powered SaaS operationalizes this by unifying permissioned telemetry, learning normal behavior and reachability, scoring risk in real time, and enforcing least‑privilege access with safe, reversible actions. The durable pattern is retrieve → reason → simulate → … Read more

AI SaaS for Identity and Access Management

AI upgrades IAM from static role maps and annual reviews to a governed, risk‑adaptive system of action. The durable blueprint: continuously inventory identities, devices, apps, and entitlements; ground decisions in permissioned evidence (usage, approvals, SoD, device posture, geolocation); apply calibrated models to detect risky grants, session anomalies, and entitlement creep; simulate blast radius and business … Read more