Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security teams that roll out Microsoft Purview DLP inside their Microsoft ecosystem often assume coverage extends further than it does. Policies apply cleanly to Word, Excel, and Outlook. Then a sensitive.dwg is inspected only by extension because Purview doesn't scan CAD content, a developer on a Linux workstation falls outside endpoint coverage entirely, or raw source code moves to a USB drive without matching the source-code classifier, which runs on the endpoint only for Office and PDF files.

Shadow IT used to mean employees spinning up unsanctioned software-as-a-service (SaaS) apps that stored company data without approval. Today, shadow MCP and unsanctioned LLM integrations represent the next evolution, and they're more dangerous. Model context protocol (MCP) servers don't merely store data; they act on it, executing code, calling APIs, and accessing internal tools on behalf of AI agents that developers connect with a config file.

An initial access broker associated with the Payouts King ransomware group is using Microsoft Teams phishing to deploy a malicious Microsoft Edge web browser extension, according to researchers at Zscaler. Once the hackers have a foothold within an organization, they sell the access to the ransomware gang to conduct follow-on attacks.

Security must evolve from a static training program into dynamic, AI-powered human and AI risk orchestration embedded across the organization. The traditional model of security awareness aimed to get a message into people’s heads and hope it stayed there long enough to stop insecure actions. Organizations trained, tested, reported a completion rate to the auditor, and moved on.

As Kubernetes clusters scale from a few development sandboxes to massive, multi-tenant production environments, platform teams often find themselves facing a configuration management crisis. A small number of microservices suddenly demand hundreds of individual Kubernetes NetworkPolicy objects. Managing them becomes operationally expensive, auditing them is difficult, and a single developer misconfiguration can easily drop critical production traffic or open a massive security hole.

Egnyte AI surfaces insights from an organization's documents for regulated industries—life sciences, financial services, architecture, engineering, and construction—and does that within existing permissions and compliance controls. Our AI Assistant is the conversational front door. Ask a question about your documents in plain language, summarise a contract, find the latest version, pull a compliance clause, and get an answer grounded only in the files you're permitted to see.