IntroductionArtificial intelligence has become central to cyber threat detection in 2025, enabling real-time analysis of massive telemetry to spot subtle, identity-driven attacks that signatures and rules often miss, while cutting alert fatigue and speeding investigations in modern SOCs. As adversaries adopt generative AI to scale phishing and deepfakes, defenders are countering with AI-powered EDR/XDR, identity … Read more
AI has turned detection into an always‑on, adaptive system: platforms ingest high‑fidelity signals, learn “normal” behavior per user and asset, correlate anomalies across domains, and trigger automated containment with analyst‑ready context. This reduces time‑to‑detect and time‑to‑respond while cutting false positives that swamp small teams. Core platform types in 2025 What “real‑time” means technically Leading categories … Read more
AI is redefining data security in SaaS by moving defenses from static, rules‑based controls to adaptive, identity‑driven, and behavior‑aware systems that prevent, detect, and respond in real time across sprawling cloud app estates. The shift pairs zero‑trust access, AI‑native DLP, and automated incident response with strong privacy governance, enabling faster risk reduction even as attackers … Read more