TL;DR * Threat detection platforms identify malicious behavior, anomalies, lateral movement, and post-compromise activity across an organization's infrastructure. In 2026 the category increasingly centers on autonomous detection engineering, not just signature matching. * We evaluated five platforms and approaches on detection rule depth, ATT&CK gap analysis,
Security teams are drowning. Over 48,000 vulnerabilities were published in 2025, alert volumes keep climbing, and manual triage simply cannot keep pace. Traditional SOAR tools helped orchestrate workflows, but they still depend on humans to make decisions, build playbooks, and connect the dots across tools. That model is breaking.
The Problem Every security team has seen the heat map. The MITRE ATT&CK matrix, color-coded red and green, hanging in a slide deck as evidence of where the organization stands. It is a useful artifact and, too often, a dead end. Teams know exactly what they should
TL;DR * An AI SOC platform uses autonomous AI agents to do the core work of a security operations center: triage alerts, investigate them to a verdict, hunt threats, and respond. The best ones filter thousands of daily alerts down to the few that actually need a human. * In 2026,
TL;DR * Choosing an AI SOC platform in 2026 means evaluating two things at once: how well the platform's AI agents investigate and respond to threats, and how well it secures the AI agents already running inside your business * Skip the feature comparison spreadsheets. Ask vendors seven questions
We sat down with Kathy Del Gesso, a CISO who's been in security leadership for years, to talk about what's actually changing right now. The conversation went broader than we expected. CISOs aren't just securing systems anymore. They're trying to figure out
We sat down with Anton Chuvakin, one of the most outspoken voices in security operations, to cut through the AI SOC hype. What we got was a reality check on why alert fatigue has plagued SOCs for 20 years, why the traditional Level 1/2/3 analyst model is broken,
Based on interview with Sunil Mallik, Head of Cybersecurity Architecture and Engineering at PayPal and former CISO at Discover We sat down with Sunil to talk about agentic AI in financial services. What we got was a masterclass in how security actually works when you're protecting billions of
Thoughts from Identity Industry Veteran The landscape of digital identity has undergone a dramatic transformation over the past two decades. What began as simple username-password combinations has evolved into a sophisticated, critical component of cybersecurity infrastructure. In a recent conversation, identity security expert Mohit Vaish, CEO of CyberSolve shared
We had a unique opportunity to sit down with Anant Thangaraju, who's a Field CISO at E+, to get his thoughts on the current landscape of agentic AI in cybersecurity. This blog post is based on the discussion between Neha Garg, Arambh Labs' CEO, and Anand Thangaraju.
In today’s hyper-connected digital landscape, Security Operations Centers (SOCs) face an unprecedented challenge: SOC teams drown in alerts; response time is the difference between a minor incident and a catastrophic breach. This overwhelming volume of alerts leads to alert fatigue, a critical challenge where analysts become desensitized or
Revolutionizing SOC Automation in 2025 1. Introduction: What Are the 7 Use Cases for Agentic AI in Security Operations and Why They Matter The 7 use cases for agentic AI in security operations include endpoint alert investigation, network alert investigation, identity-related investigation, cloud security incident handling, risk-based alert