IntroductionContinuous monitoring is critical because modern attacks unfold in minutes, span cloud, SaaS, endpoints, and identities, and often strike outside business hours—only persistent, 24/7 telemetry and analysis can catch and contain threats before they escalate into outages or breaches. Round‑the‑clock monitoring reduces attacker dwell time, improves response speed, and supplies the audit trails that regulators … Read more
Executive takeawayCybersecurity in 2025 is an AI-accelerated, identity-first, cloud-native discipline. Offense is leveraging generative AI for scalable social engineering, polymorphic malware, and faster reconnaissance, while defense is countering with AI-driven detection, automated response, and Zero Trust controls mapped to identities, devices, networks, and data. Programs that operationalize these shifts—along with post-quantum planning, supply-chain governance, and … Read more
AI has shifted SaaS security from noisy, rule‑only alerts to a governed system of action that detects, explains, and contains threats quickly and at a predictable cost. Modern stacks fuse UEBA, anomaly and graph analytics, SaaS posture management, OAuth/shadow‑IT control, DLP/content safety, and EDR/XDR signals into explainable detections with reason codes. Copilots assemble timelines, blast‑radius … Read more
Introduction: From alert overload to intelligent defense at speedSecurity teams face a widening attack surface, exploding telemetry, and attacker automation that never sleeps. Traditional stacks—rules, signatures, and siloed consoles—produce too many alerts and too few answers. AI-powered SaaS changes the operating model. With behavior analytics, retrieval‑augmented response playbooks, and policy‑bound automation, platforms spot real threats … Read more