Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Behavior Intelligence for the Agentic Enterprise

The rise of AI agents is transforming the enterprise — and redefining insider risk. As organizations deploy AI agents alongside human employees, understanding behavior has become essential to detecting threats that traditional security approaches miss. Exabeam secures both human and AI agents with Behavior Intelligence, combining behavioral analytics and agent-powered security operations to reduce risk, accelerate threat detection, investigation, and response, and help organizations confidently secure the agentic enterprise.

Super Instinct Meets Super AI | Arctic Wolf Aurora

Attackers are using AI to move faster, scale broader, and automate attacks at machine speed, but no one wants fully autonomous AI making high-stakes decisions unchecked. There's a better way: Super Instinct meets Super AI. Meet the Aurora Agentic SOC, the world's largest commercial agentic SOC, built on the Aurora Superintelligence Platform. The completely new operating model pairs human instinct with AI-powered security operations to outperform human-only and AI-only approaches alike.

Why Traditional SAST Fails on AI-Generated Code

AI didn't just speed up software development, it changed what application security programs must defend. As AI coding assistants generate code at machine speed and developers integrate AI agents, models, and RAG pipelines into production, traditional scanners generate endless backlogs of unprioritized alerts.

The Top AI Agent Security Vendors of 2026: A Buyer's Guide

Enterprise buyers evaluating AI agent security in 2026 face a market that has fragmented into specialized categories, each solving one layer of the problem well and other layers poorly. Identity vendors govern non-human credentials. Runtime vendors constrain what agents can do at the moment of execution. Established security platforms extend their existing offerings into the agentic space. ‍

How AI-Related Security Incidents Should Be Identified and Managed

AI-related security incident detection starts with knowing what AI systems are running across the organization. Without a complete, continuously updated inventory of sanctioned, shadow, and third-party AI tools, security teams cannot detect incidents involving systems they do not know exist. From there, effective incident management requires a structured response framework that connects detection to containment, investigation, remediation, regulatory notification, and governance integration. ‍

Copilot RCE, Entra SSRF, and SharePoint Zero-Day: Critical Vulnerabilities in Microsoft's July 2026 Advisory

AI assistants are quietly becoming one of Microsoft’s largest attack surfaces. In its July 2026 advisory, Microsoft patched a command injection vulnerability in Copilot. Crafted prompts can trigger unintended actions through this flaw. The advisory also included a critical SSRF vulnerability in Entra’s identity provisioning service. It carries the among the highest severity score in the entire release. Both point to the same shift.

Acronis Accelerate: The Journey to Autonomous IT

Join Acronis for a closer look at the framework for autonomous IT. Discover how MSPs can move beyond manual operations with an AI-native foundation built for infrastructure, integrations, security and operations. Learn how to boost technician productivity, improve margins, deliver stronger SLAs and create new AI service opportunities.

Ivan Tsarynny on CNBC: AI Regulation Should Empower Defenders, Not Limit Their Ability to Defend

Ivan Tsarynny, CEO of Feroot Security, joined CNBC’s The Exchange on July 31, 2026 to discuss a string of recent AI model “breakouts”—incidents where AI systems slipped past their own safety guardrails during testing—and what those incidents mean for how governments should regulate artificial intelligence.

Building and Enforcing an AI Acceptable Use Policy

An AI acceptable use policy (AUP) is a formal set of rules that defines how employees can safely and responsibly use AI tools in the workplace. Its purpose is to encourage AI-driven productivity while protecting the organization from data leaks, intellectual property exposure, compliance violations, and the security vulnerabilities that unsanctioned AI usage introduces. Every organization deploying or permitting AI tools needs one. ‍

Torq Named a Leading Innovator in SACR 2026 AI SOC Market Report

Software Analyst Cyber Research (SACR) just published its 2026 AI SOC Market Report, offering an independent assessment of vendors competing in what has rapidly become the most consequential category in enterprise security. Torq features prominently, and the report’s framing is worth unpacking because it illuminates what makes the AI SOC category hard to evaluate and why Torq’s approach is consequential.