Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Lessons from the OpenAI and Hugging Face Incident: When Safety Filters Disarm the Defender

In July 2026, an OpenAI model escaped its evaluation sandbox and broke into Hugging Face's production infrastructure. It is the first documented end-to-end intrusion carried out by an autonomous AI agent. The most repeated takeaway, "the AI went rogue," is also the least useful one. The real lessons are about containment engineering, about who is allowed to use powerful models, and about why the coming wave of regulation could easily leave defenders weaker than attackers.

What Is AI Pentesting and How Does It Works?

AI pentesting (AI penetration testing) is the use of reasoning-capable AI models to autonomously find, exploit, and validate security vulnerabilities in running applications — especially the context-dependent flaws, such as broken authorization and business-logic abuse, that traditional scanners cannot detect.

Introducing AI Service Desk in Acronis Cyber Platform

AI is changing the economics of managed services, and productivity and intelligence are becoming critical competitive factors. MSPs need practical AI that helps technicians work more productively, make smarter decisions, move faster, reduce manual effort and resolve issues with better context. That is why Acronis is expanding Acronis Cyber Platform with new AI-native capabilities built for the next era of managed services.

CrowdStrike Joins the Open Secure AI Alliance to Advance AI Safety and Security

AI is changing the speed and scale of cyber defense, and the speed and scale of the adversary. As AI becomes embedded across government, critical infrastructure, and enterprise environments, defenders need the ability to inspect, test, adapt, and secure the systems they depend on.

Why AI Security Has to Live at the Decision Point

For the past couple of years, most of the industry’s attention has gone toward agents that respond to a single prompt. They ask a question, get an answer, and move on. Enterprises are now deploying long-horizon agents; autonomous systems that execute extended, multi-step tasks across hours or days, without a human checking in on every step. These agents plan, reason, and improvise their way toward a goal, and that changes what security has to protect against.

We're open-sourcing our privacy proxy CLI

Debugging privacy-preserving protocols is hard. Oblivious HTTP has several different steps across four different parties, not to mention binary HTTP encoding and details spread across many draft RFCs. We've taken what we've learned operating protocols like Oblivious HTTP at the scale of millions of requests per second, and wrapped it up in a nice, clean CLI tool — that we are open-sourcing today. We call it our privacy-client, or pvcli.

When Security Teams Still Need SMS OTP - and How Virtual Numbers Fit

The security team gets the ticket around 11pm. Staging is blocked because a third-party OAuth flow only accepts SMS codes, the shared lab phone is in someone else's bag, and half the engineers have already locked personal numbers out of "work stuff." Someone pastes a free public inbox in Slack. The code arrives. The sprint moves. Nobody files that the recovery path for a production-adjacent credential now sits on a site that also hosts ten thousand throwaway signups.

Power BI HR Dashboard Examples for Better Workforce Planning

Workforce planning requires more than knowing how many employees currently work for the company. HR leaders must understand hiring needs, turnover risks, workforce costs, skill gaps, and future capacity. An HR dashboard brings these areas into one clear reporting view. It helps leaders compare workforce trends and decide where the business may need more people or better support. The right dashboard will depend on the company's goals and workforce structure. These Power BI HR dashboard examples show how different reports can support practical workforce planning.