Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We are witnessing a massive shift in how we secure corporate networks. Security operations centers used to be dedicated to protecting static desktop stations, local servers, and company-issued mobile hardware. However, today's spatial computing and edge-based AI have delivered a new, largely unregulated hardware threat directly into the corporate space - face-worn consumer hardware.

Let's suppose that your business is about to implement GenAI (generative AI). In this case, the conversation inevitably boils down to a dilemma: RAG (Retrieval-Augmented Generation) or Fine-Tuning. At first glance, these appear to be two competing methods for tackling the same problem-getting a base LLM (Large Language Model) to speak your company's language.

Reflectiz, the web exposure management platform, today announced a live webinar with Taboola, "Securing Third-Party Marketing in the AI Era," taking place July 8 at 9 AM EDT / 3 PM CEST. Every marketing vendor a company approves can silently introduce third and fourth-party scripts that no security team ever reviewed. In the AI era, that invisible layer is expanding faster than point-in-time audits can track. The gap between what an organization approves and what actually executes on its site is where data leakage, regulatory exposure, and compliance failures happen.

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.