Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

OpenMatter Network Introduces Verifiable Trust Layer for Secure Collaboration and AI Agents

OpenMatter Network today announced the launch of its cryptographically verifiable platform for secure collaboration and AI governance, built on a simple premise: Don't Trust Data. Prove It. For decades, organizations have relied on trust-based assumptions to secure data, execute workloads, and govern digital systems. But as data becomes increasingly distributed and AI agents begin operating autonomously across organizations, applications, and networks, those assumptions are being tested in new ways.

From prompt to action: Al Security with Salt Security and CrowdStrike

As enterprises accelerate adoption of Generative AI, the security perimeter is rapidly expanding. This creates a new, largely unprotected attack surface: the Agentic Action Layer. In this on-demand webinar, @CrowdStrike and Salt Security introduce an AI-native security architecture that spans the full chain of intent-to-action. Learn how CrowdStrike Falcon AIDR protects the model runtime, prompts, inference, and LLM behavior, while Salt Security governs and defends the APIs, MCPs, and services where AI actions actually occur.

The MemcycoFM Show: Ep25 - How to Detect Brand Impersonation: Key Signals for Security Teams

In the recently published blog from @Memcyco titled 'How to Detect Brand Impersonation: Key Signals for Security Teams', we discussed brand impersonation detection, the process of identifying fake domains, cloned brand experiences, and the exposure signals that show attackers are using a trusted brand to deceive customers, employees, or partners. For security teams, the harder problem is not finding every impersonation asset. It is knowing which signals indicate live user exposure and which ones should change the response.

A double-edged bleeding edge: Classifying AI threats

Sophos X-Ops presents a working taxonomy for attacks using, and targeting, AI Conversations about ‘AI threats’ typically collapse into one of two extremes. On the one hand, hype: unverified claims that don’t hold up to scrutiny and invite significant criticism. On the other, dismissal: it’s just old tradecraft with new branding.

Azure Monitor Agent Metrics Extension Vulnerability: From Engagement to CVE

This article was authored by Cristhian Parrot from the Kroll Offensive Security Team. Kroll’s Offensive Security Team recently discovered a new vulnerability within Microsoft’s Azure Monitor Agent Metrics Extension, which demonstrates how subtle configuration issues can introduce significant security risks in widely deployed infrastructure components.

How to Discover and Control Shadow AI Agents in Your Environment

Most security programs have a working model for responding to shadow AI: identify the unsanctioned tools employees are using, sanction or block them, and update the acceptable use policy. That model worked, however imperfectly, when the threat was limited to web-based GenAI applications. It does not work when the threat is an autonomous agent, running locally on an endpoint, that reads the file system, calls external APIs, and transmits internal data.

Rethinking IaaS: Why partner cloud is a timely growth opportunity for service providers

If you’re a service provider, you’ve probably felt the shift already. Clients are asking tougher questions about cost. Some are frustrated with hyperscaler bills. Others are rethinking VMware. And more are paying attention to where their data lives and who controls it. Put all of that together, and it’s clear: Infrastructure is becoming a strategic conversation again. One that creates both pressure and opportunity. eBook How to build a profitable IaaS business with Acronis Cyber Frame.

Shadow AI Explained: What It Is, Where It Hides, and What It Costs

Shadow AI is the term for AI tools, models, and capabilities that operate within an organization without formal approval, oversight, or governance. It is the enterprise AI equivalent of shadow IT, which is the unauthorized software and cloud services that proliferated as employees found faster ways to get work done than waiting for IT procurement cycles. The difference is that the consequences of unmanaged AI are considerably more significant than those of unmanaged software.

Defending the Authentication Flow: Device Code Phishing with Selena Larson

Selena Larson, Staff Threat Researcher and Lead, Intelligence Analysis and Strategy at Proofpoint and Host of the DISCARDED podcast, joins host Caleb Tolin to detail the specific mechanics of device code phishing campaigns, revealing how adversaries exploit legitimate communication structures to capture administrative and enterprise access. The discussion centers on the rapid commercialization of cybercrime, highlighting the leak of specialized kits in late 2025 that catalyzed the democratization of sophisticated technical exploits.