Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

teramind

How to Detect Shadow AI

May 7, 2026 By Teramind In Teramind
In 2026, the gap between AI adoption and AI oversight has become a primary boardroom concern. While generative AI has supercharged productivity, it has also introduced Shadow AI: the unmanaged, invisible use of unauthorized AI apps and autonomous agents that operate outside the view of traditional IT security. In this guide, you’ll learn why Shadow AI is exponentially harder to detect than Shadow IT and, more importantly, how to build a modern detection framework. We’ll explore.
Read Post
The New Vanguard: Strategic Leadership in the Age of Autonomous Threats

The New Vanguard: Strategic Leadership in the Age of Autonomous Threats

May 7, 2026 By SecuritySenses In SecuritySenses
The threat landscape of 2026 is no longer defined by the singular hacker or the isolated malware strain. We have entered the era of the "Autonomous Adversary"-a period where AI-driven social engineering, automated vulnerability discovery, and polymorphic code are the standard tools of state-sponsored and criminal actors alike. For the security professional, the traditional defensive perimeter has dissolved. To navigate this complexity, the industry is moving away from purely tactical responses toward a model of "Cyber-Resilience and Strategic Governance.".
Read Post

Reviewing Malicious PRs at Scale with AI

May 6, 2026 By Datadog In Datadog
As AI coding assistants accelerate software development, the volume of pull requests at Datadog has grown to nearly 10,000 per week, increasing the risk that malicious changes slip through due to review fatigue. To address this, Datadog built BewAIre, an LLM-powered code review system designed to identify malicious source code changes introduced by threat actors. By reducing approval fatigue for developers while increasing friction for attackers, BewAIre guides human reviewers to the areas where judgment matters most, without slowing developer velocity.
View Video
cyberhaven

The Fastest-Growing AI Categories in the Enterprise Are Also the Riskiest

May 6, 2026 By Mick Jeon In Cyberhaven
Security teams often focus governance efforts on the most popular AI tools. But the real risk question isn't which tools employees use most. It's which tools are growing fastest and what data those tools can reach. New data from Cyberhaven Labs shows that the AI categories posting the largest year-over-year growth numbers are the same categories with privileged access to source code, credentials, customer contracts, and internal architecture.
Read Post
cultureai

AI Is Moving Fast in Manufacturing

May 6, 2026 By CultureAI Team In CultureAI
Artificial intelligence is rapidly becoming embedded across manufacturing environments, from engineering and design to supply chain optimisation and operations. What was once experimental is now being applied in day-to-day workflows, often driven by the need for speed, efficiency, and competitive advantage. Recent research shows that 73% of manufacturing organisations report rapid AI adoption, with 90% ranking AI as a top security priority for 2026. The direction of travel is clear.
Read Post
armo

How to Harden AI Agents in Cloud Environments: The 9 Capabilities Your Stack Must Provide

May 6, 2026 By Shauli Rozen In ARMO
Most “hardening” advice for AI agents is a checklist of things to configure before the agent runs. CIS Kubernetes Benchmark gates. Pod Security Standards baselines. NetworkPolicy templates. None of it’s wrong — it’s just one of four phases, the one your stack already covers. The other three are Observe, Enforce, and Reconcile. They’re where AI agents actually get breached, and they’re where most stacks have nothing.
Read Post
armo

AI Agent Security Performance: Framework for Evaluating Latency, Throughput, and Observability Overhead

May 6, 2026 By Ben Hirschberg In ARMO
Every AI workload security PoC reaches the same conversation. Platform engineering pushes back: the AI team won’t accept extra latency on inference. The security engineer hunts for benchmarks and finds a contradiction. Langfuse publishes 15% overhead. AgentOps publishes 12%. The security vendor quotes 1–2.5%. None is lying. They measure different layers.
Read Post
armo

AI Agent Incident Response in Cloud-Native Environments: A Playbook for Modern SOCs

May 6, 2026 By Shauli Rozen In ARMO
It’s 2 a.m. and the SOC has a Tier 3 page. A customer-service agent on the production cluster has just wired refund payments to seven addresses outside the approved disbursement list. The runbook is unambiguous: isolate the pod, image the disk, image the memory, root-cause within 48 hours.
Read Post
egnyte

Turn Busywork Into Real Work With Egnyte's AI

May 6, 2026 By Sanjay Kosuri In Egnyte
It’s Friday afternoon, and you need a quick team update. Five minutes, tops, right? You ping Slack. A few people reply, a few don’t. So, you schedule a “quick sync” to get everyone on the same page. Two hours later, you’ve spent your afternoon chasing updates instead of doing actual work. And you’ll do it all over again next week. Now picture this. You’re collecting product demo videos for an agency.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.