Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.
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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.
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AI Is Replacing Security Dashboards (Headless Cloud Security Explained)

May 6, 2026 By Sysdig In Sysdig
AI is changing cloud security—and dashboards might be next to go. In this video, we introduce headless cloud security: a new model where AI agents, not humans, operate security systems. Instead of dashboards and manual triage, security becomes API-driven, automated, and built for autonomous execution. This shift redefines DevSecOps, cloud security, and AI security workflows—moving humans from operators to orchestrators.
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upguard

AI GitHub Agents: How One Issue Leaked Private Repos

May 6, 2026 By Shane Moosa In UpGuard
In May 2025, a developer using Claude with the GitHub MCP server asked their AI assistant to do something entirely routine: review the open issues in a public repository. The repository contained a malicious GitHub issue planted by a researcher demonstrating a security vulnerability. The issue contained hidden instructions. The AI read them, followed them, accessed the developer's private repositories, and posted the contents in a publicly visible pull request. No credentials were stolen.
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WatchGuard

Meet Rai: AI That Runs More of the Security Work

May 6, 2026 By The Editor In WatchGuard
MSPs are managing more customers, more environments, and more tools than ever before. At the same time, customer expectations keep rising -- faster response times, clearer reporting, and consistent service across every client. All of that pressure lands on already‑lean teams. That’s the reality Rai was built for.
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miniorange

Claude Mythos Is Not the Problem. Your Security Basics Are

May 6, 2026 By miniOrange In miniOrange
There is a lot of panic around Claude Mythos. Some people are saying it will hack every system, that the sky is falling, and that there is no stopping it. That fear is dangerous because it makes teams freeze. Claude Mythos is genuinely powerful. AI systems like this can find security issues in minutes that even experienced penetration testers might take weeks to identify and exploit. That part is real. But here is the important point: AI is still exploiting what is already there.
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LimaCharlie

AI in security feels harder than it is

May 6, 2026 By Daniel Ballmer In LimaCharlie
Anyone who's stood up a SIEM from scratch knows the feeling: weeks of infrastructure work, integration headaches, and a services team alongside for the whole process. That experience shaped how people think about adopting anything new in security ops. The instinct is to treat AI the same way: budget for it, plan for it, bring in specialists. This instinct is costing teams real time. Traditional infrastructure takes great effort to stand up. Infrastructure-as-code happens in seconds.
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Tines

Designing AI workflows: principles for safety and control

May 6, 2026 By Conor Broderick In Tines
Most teams adopting AI in their workflows understand that LLMs do not behave like traditional software. The same input does not always produce the same output, and even when it does, the model can be wrong, manipulated, or misled. Hallucinations happen even without adversarial input. Air Canada learned this in 2024 when a tribunal ordered the airline to honor a bereavement-fare refund policy its support chatbot had invented out of thin air.
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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.
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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.
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