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 insights
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 overwhelmed,
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 triage, advanced
1. Introduction: What is Agentic AI Platform Evaluation and Why It Matters Early Keyword Confirmation: Evaluating agentic AI platforms for security operations is a critical process that helps SOC teams select autonomous AI solutions that can reduce Mean Time to Contain (MTTC) by up to 90% while enabling 24/7
Introduction: Will AI Replace Cybersecurity Professionals and Why This Question Matters AI will not replace cybersecurity professionals but will transform their roles and enhance their capabilities in the evolving threat landscape. While artificial intelligence is revolutionizing how we approach cyber security, the human element remains irreplaceable for strategic thinking, ethical
1. Introduction: The Role of Large Language Models in Security Operations Automation Security operations automation is rapidly evolving with the integration of Large Language Models (LLMs), transforming how organizations detect, respond to, and mitigate security threats. LLMs bring advanced natural language understanding and contextual analysis capabilities to security automation platforms,
From Technical Guardian to Business Strategist The role of the Chief Information Security Officer (CISO) has undergone a seismic shift. A decade ago, the CISO was a technical guardian, a firewall-and-endpoints guru deep within the IT organization. Today, that CISO is gone. In their place is a boardroom-level business strategist,
How Agentic AI Is Redefining Endpoint Security In cybersecurity, the most pervasive danger isn’t the sophisticated zero-day exploit or the cunning phishing email—it’s the noise. It’s the relentless, deafening barrage of alerts from a dozen disconnected tools. It’s the flicker of a million benign events
Discover why static SOAR playbooks fail modern SOCs and how Agentic AI delivers adaptive, real-time cybersecurity defense against evolving threats.