Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When the Classifier Is the Judge: What the Adelphi AI Case Reveals About Automated Verification

Orion Newby was a student at Adelphi University when a single automated score nearly ended his academic career. He had written a course paper himself, working with tutors from a university support program for students with learning and neurological differences. The essay was run through an AI detector, which reported it as AI-written. On the strength of that output, Newby was accused of an integrity violation, the kind of charge that can escalate toward suspension or expulsion on a repeat offense.

OpenMatter Network Joins HOL Initiative to Help Define Standards for Verifiable AI Collaboration and Security

OpenMatter Network today announced that it has joined the founding group of organizations participating in the Hashgraph Online (HOL) Partner Program, where the company will help develop standards, policies and verification frameworks for secure autonomous AI systems and agentic computing environments.

WatchGuard Appoints Vincent Hwang as Chief Product Officer to Accelerate Platform Strategy and AI-Driven Innovation

Former Fortinet, Cisco, and Bitdefender leader brings proven track record in scaling cybersecurity platforms, strengthening partner-driven growth, and shaping category-defining product narratives.

Shadow AI has officially entered the enterprise

AI tools have become a workplace staple, but their unsanctioned use has given rise to shadow AI. It refers to the untracked usage of any AI tools or applications without approval or overview of the information technology (IT) or security team. This is substantiated by the Verizon 2026 Data Breach Investigations Report (DBIR) which shows how rapidly the shadow AI trend is growing.

What Tools Help Build and Maintain an AI Asset Inventory?

Managing an artificial intelligence (AI) footprint has emerged as one of the most complex challenges for modern enterprise security and risk teams. As shadow AI, autonomous agents, and embedded third-party models infiltrate corporate environments, traditional methods of software tracking have broken down. Organizations are quickly realizing that maintaining an accurate inventory is not just an IT best practice.

CERT-In AI Security Blueprint 2026: Remediation Timelines Every Indian Organisation Should Know

If a known exploited vulnerability appeared on your internet-facing application right now, what would your team actually do in the next 12 hours? What would actually happen, given your tooling, your sprint cycle, your change management queue, and who is available. CERT-In’s blueprint sets these timelines because generative AI and autonomous agents have collapsed the attacker timeline to the point where anything longer is already too slow.

The ECB just gave banks four months to fix AI vulnerability gaps. Most of the work starts in the software supply chain.

On July 7, 2026, the European Central Bank sent a letter to the CEO of every bank it directly supervises with an unambiguous instruction: build a formal action plan against AI-enabled cyberattacks, and submit it to your supervisory team by October 31.

10 AI Agent Guardrails to Implement Today

AI agent guardrails are the controls that define what an AI agent can access, which tools it can use, what actions it can take, and when human approval is required. In cloud, SaaS, CI/CD, and production environments, these guardrails are especially important because agents can inherit permissions and affect sensitive resources faster than a human operator could manually review.

How to Build a Red Team Exercise for AI Workflows

AI agents now retrieve data, generate recommendations, and trigger actions across enterprise systems with little human review in between. That speed is the point, and it is also the problem. A single manipulated prompt or a poisoned data source can push an AI system toward a decision no one signed off on, and most security teams have never tested for it. Building a red team exercise for AI workflows is how you find that gap before an attacker does.

Seeing Thousands of Real Incidents Means I Have No Choice But to Share What I Know

A few years ago, I was sitting across from a security leader at a large enterprise. They had just deployed their first wave of AI agents. When I asked how they were thinking about the security of it, they paused for a moment and then said something I haven’t forgotten. I felt that. Not just as a researcher, but as someone who had been in enough of those rooms to know it was not one person’s gap. It was the whole industry’s gap.