Browsing Tag
SOC
20 posts
AI-Powered Malware Analysis Uncovers Hidden Phishing Threats and Reduces SOC Workload
AI powered malware analysis helps teams reveal hidden phishing attacks, connect related threats and automate reports to reduce investigation workload.
MDR vs EDR vs SOC: What You’re Actually Buying in 2026
MDR vs EDR vs SOC explained for 2026, covering tools, monitoring, incident response, staffing and how each option supports CMMC compliance.
Security Risk Advisors Launches SCALR AI as a Free SOC AI Platform for Security Teams
Security teams can deploy SCALR AI in their own Azure tenant at no license cost, with private SOC AI workflows for incident triage, threat hunting and phishing.
New EvilTokens Attack Exposes Browser Visibility Gap in Enterprise SOCs
EvilTokens phishing hides takeover clues until browser execution leaving SOC teams needing deeper visibility to validate threats faster and reduce account risk.
Fake Word Phishing Reveals Enterprise Blind Spot in Trusted Remote Access Tools
Disclosure: This article was provided by ANY.RUN. The information and analysis presented are based on their research and findings.
Continuous Detection, Continuous Response: Mate Security Redefines the Modern SOC
New York, USA, 18th May 2026, CyberNewswire
8 Top MDR Providers for Mid-Market Companies
Top 8 MDR providers for mid-market firms needing expert detection, faster response, and reduced noise without building full in-house SOCs.
Fixing a Slow SOC: Top 3 Solutions that Actually Work
Smarter SOC performance with faster triage, proactive defence, and a unified stack powered by instant alert context from ANY.RUN to cut MTTD and MTTR.
Quttera Launches “Evidence-as-Code” API to Automate Security Compliance for SOC 2 and PCI DSS v4.0
New API capabilities and AI-powered Threat Encyclopedia eliminate manual audit preparation, providing real-time compliance evidence and instant threat intelligence.
How to Achieve Ultra-Fast Response Time in Your SOC
ANY.RUN shows how early clarity, automation and shared data help SOC teams cut delays and speed up response during heavy alert loads.