The average enterprise SOC receives 10,000 alerts per day. Each requires 20 to 40 minutes to investigate properly, but even fully staffed teams can only handle 22% of them. More than 60% of security teams have admitted to ignoring alerts that later proved critical.Running an efficient SOC has never been harder, and now the work itself is changing. Tier-1 analyst tasks — like triage, enrichment, and escalation — are becoming software functions, and more SOC teams are turning to supervised AI agents to handle the volume. Human analysts are shifting their priorities to investigate, review, and make edge-case decisions. Response times are being reduced.Not integrating human insight and intuition comes with a high cost, however. Gartner predicts over 40% of agentic AI projects will be cance [...]
Integrating AI models directly into extended detection and response (XDR) platforms is delivering breakthrough improvements in SOC investigation speed and accuracy.In an exclusive interview with Ventu [...]
For the first time on a major AI platform release, security shipped at launch — not bolted on 18 months later. At Nvidia GTC this week, five security vendors announced protection for Nvidia's a [...]
CrowdStrike CEO George Kurtz highlighted in his RSA Conference 2026 keynote that the fastest recorded adversary breakout time has dropped to 27 seconds. The average is now 29 minutes, down from 48 min [...]
Hybrid cloud security was built before the current era of automated, machine-based cyberattacks that take just milliseconds to execute and minutes to deliver devastating impacts to infrastructure. The [...]
Every SOC leader knows the feeling: drowning in alerts, blind to the real threat, stuck playing defense in a war waged at the speed of AI. Now CrowdStrike and NVIDIA are flipping the script. Armed wit [...]
Traditional software governance often uses static compliance checklists, quarterly audits and after-the-fact reviews. But this method can't keep up with AI systems that change in real time. A mac [...]