Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Hardening Edge Supercomputers: Securing the Deployment of Any Compact AI Supercomputer

Hardening Edge Supercomputers: Securing the Deployment of Any Compact AI Supercomputer

Nov 3, 2026 By SecuritySenses In SecuritySenses
Edge AI systems bring data center-class computing into offices, labs, and remote facilities where environmental controls and security practices may vary. Their compact size makes deployment easier, but it also creates new risks involving physical access, local networks, software supply chains, and sensitive data. Securing these systems requires a clear plan that covers the device, its operating environment and every service connected to it.
Read Post
astra

Vibe Coding Security Under Test: 100+ Vulnerabilities Across Four AI-Built Apps

Nov 2, 2026 By Ephrim Holyson In Astra
Vibe-coding platforms let you go from prompt to a deployed app in a single session, a pace that outpaces the review cycles most teams built for slower releases. With Lovable nearing 8 million users by late 2025, and Replit past 50 million by April 2026, we wanted to answer a sharper question than “is vibe coding safe?” Does the platform generating the code change the outcome, and does one security prompt give you the same security everywhere?
Read Post
Zenity

Introducing HAMMER, the Homegrown Agent Maturity Model for Execution & Risk

Nov 2, 2026 By Dan Levy In Zenity
The Homegrown Agent Maturity Model for Execution & Risk (HAMMER): is a five-level framework with seven domains for security teams to locate where they stand on securing homegrown agents, then make the case for what they need to advance. The most powerful AI agents in your enterprise may be ones you never bought. Your own teams are building them by wiring models, tools, and data into software that acts on its own, often with little security approval or oversight.
Read Post
forward

How much AI risk is acceptable? The compromise infrastructure leaders shouldn't have to make

Nov 2, 2026 By Forward Networks In Forward
Spend any time with senior infrastructure and IT leaders right now and one conversation keeps coming up. The business wants AI, and increasingly it wants agentic AI: systems that don’t just recommend an action but take it. Boards have seen the productivity numbers. Competitors are announcing pilots. The pressure to move is real. At the same time, those same leaders own the risk register. They answer to regulators, auditors, and, when something goes wrong, the front page.
Read Post
CrowdStrike

What Makes a Good Security Agent? 5 Lessons from the AgentWorks Hackathon

Nov 2, 2026 By Lucia Stanham In CrowdStrike
Every security team is being told to adopt AI. Far fewer have been shown what "good" looks like in practice. Turnkey agents handle common, well-defined security tasks, but no two security teams operate the same way. Each has its own data, playbooks, escalation paths, and risk tolerances; unique context that no vendor can anticipate in a packaged solution.
Read Post

New AI Security Podcast | Authorized Intelligence Trailer

Nov 2, 2026 By Rubrik In Rubrik
Authorized Intelligence is Rubrik's new podcast on AI security and resilience in the age of frontier AI, hosted by AI risk management expert Cal Al-Dhubaib. Each episode brings you into the room with the frontier model red teamers, CISOs, and AI policymakers navigating the risks and rewards of frontier AI. The first three episodes drop November 5. Subscribe to stay updated and follow Authorized Intelligence wherever you get your podcasts.
View Video

What AI agents for compliance should (and shouldn't) automate

Nov 2, 2026 By Persona In Persona
Compliance is a hard place to deploy AI. Regulations differ by country and change constantly, and AI isn't deterministic the way traditional software is. Lewis Chung, agents lead at Persona, explain how we build AI agents for compliance by: testing agent behavior with evaluations on domain-specific datasets until errors are negligible in production, automating simple low-risk decisions, and keeping people in the loop for high-stakes or ambiguous calls like freezing a customer's account. In those cases, the agent does the exhaustive research and presents it so a human can decide quickly.
View Video
Fake profile pictures: how to tell a stolen photo from an AI face

Fake profile pictures: how to tell a stolen photo from an AI face

Nov 1, 2026 By SecuritySenses In SecuritySenses
Most fake profile pictures are either a real person's photo taken without permission or a face that a generator made up. The two leave different evidence behind, so the test that exposes one will miss the other. Work out which one you might be looking at before you trust the account.
Read Post
Zenity

The First Questions That Matter: Triaging AI Agent Security Incidents

Oct 30, 2026 By Gary Hayslip In Zenity
I have lived through major incidents firsthand, including the urgent calls that come in the middle of the night. In my experience, the teams that contain damage quickly are not the ones with the most tools. They’re the ones that ask the right questions in the first hour.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.