An autonomous alert investigation platform uses AI agents to independently gather security evidence, correlate activity across security tools, reason about an alert, reach a verdict, and escalate or execute response actions with minimal human intervention.
How do AI SOC platforms actually compare? We examine automated alert investigation across 15 dimensions, from dynamic investigation and SIEM independence to threat hunting, detection engineering, and autonomous response.
Earlier this year, Gartner named Arambh Labs one of only 11 startups to watch in agentic AI in its March 2026 report, Emerging Tech: AI Vendor Race — Startups to Watch in Agentic AI. Gartner reviewed a field of 129 funded startups building in agentic AI. Eleven made the list. We
The landscape of cybersecurity has fundamentally shifted. Artificial intelligence is no longer a future promise for security teams-it is the operational reality shaping both how organizations defend themselves and how malicious actors attack them. As AI systems grow more capable, the stakes on both sides of the equation keep
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