A naukri.com initiative
VentureBeat
3w
389
Image Credit: VentureBeat
From alerts to autonomy: How leading SOCs use AI copilots to fight signal overload and staffing shortfalls
- AI-powered security copilots are helping SOCs reduce false positive rates by up to 70% and save over 40 hours a week of manual triage.
- The latest generation of copilots offers real-time remediation, automated policy enforcement, and integrated triage across various security domains.
- Microsoft launched new Security Copilot agents for tasks like phishing triage and threat intelligence, contributing to improvements in SOC accuracy and efficiency.
- Using AI copilots leads to a 43% boost in triage accuracy among junior analysts and enhances mean-time-to-restore and threat detection times in SOCs.
- AI copilots help alleviate the frustration of SOC analysts dealing with multiple alerts and manual triaging, reducing burnout and improving efficiency.
- AI security copilots are crucial in training and retaining staff by eliminating routine tasks and empowering analysts to focus on complex threats.
- Leading figures like George Kurtz and Robert Grazioli emphasize the role of AI in enhancing human analysts' capabilities rather than replacing them entirely.
- AI triage can reduce false positives by up to 70%, providing significant benefits in terms of accuracy and response time for organizations facing cybersecurity challenges.
- By adopting AI copilots, SOCs can prioritize high-fidelity incidents, reduce alert fatigue, and improve response efficiency, as demonstrated by companies like CrowdStrike and Microsoft.
- AI security copilots are reshaping how enterprises detect, investigate, and neutralize threats, with a focus on augmenting SOC team skills and workflows.
- Providers like Palo Alto Networks and Cisco stress using AI to enhance rather than replace analysts, unifying workflows and making SOC teams more effective in cybersecurity.
Read Full Article
23 Likes
For uninterrupted reading, download the app