Recent reporting on VoidLink, a Linux malware framework reportedly developed almost entirely with the assistance of generative AI, marks a structural shift in the threat landscape. According to coverage in CSO Online, VoidLink’s development cycle, code organization, and modular design strongly suggest AI-assisted creation — compressing what historically required months of coordinated engineering into days of automated iteration. This is where Versa SASE, combined with GenAI usage controls, provides a grounded and enforceable defensive posture.
Control means setting clear rules for AI usage and enforcing them in a way that does not break the business. This is the point where many companies get stuck. Some teams over-block and kill adoption. Other teams do nothing and accept silent risk. The goal is neither. The goal is safe adoption by default.
AI is showing up everywhere in the enterprise sometimes through approved tools and sometimes through “shadow AI.” The first step to securing it is simple: if you cannot see AI usage, you cannot secure it. This post explains what to discover, why it is hard, and what to do in the first 30 days.
AI applications are no longer tools used by a few teams for productivity or collaboration. They are rapidly becoming tools that help build core IT systems across every industry. From generative AI to NLP powered copilots to predictive analytics, enterprises are embedding AI into everyday operations, customer engagement and decision-making.
Summary Versa has enhanced its AI DLP capabilities, comprehensive multi-format file inspection with granular metadata analysis, and intelligent redaction/tokenization features. These enhancements enable organizations to detect and prevent sensitive data leakage with unprecedented accuracy while minimizing false positives through contextual understanding. In this surgical walkthrough, we’ll dissect each of these enhancements to show exactly how Versa’s AI DLP elevates data protection from detection to intelligent prevention. AI DLP – Enhancements to Data Discovery based on ‘ML Analysis’ Versa’s new capabilities in AI-powered DLP takes data protection beyond contextual DLP by embedding advanced machine learning directly into the SASE fabric. Deployed…
AI is everywhere—here’s the blueprint to outgrow legacy data centers: GPU-dense compute, ultra-low-latency fabrics, NVMe/parallel storage, direct cloud interconnects—knit together by Versa for true edge-to-cloud assurance.
Introduction Prompt injection is increasingly recognized as a rising class of risk in AI systems. This is a critical threat vector in which attackers craft natural language inputs to subvert model instructions, bypass guardrails, or leak sensitive data. But before focusing on prompt injection threats let’s quickly review how AI tools present risks for a company’s unstructured data. In our blog discussing how Versa secures unstructured data against AI driven risk, we explain how unstructured data—spanning emails, documents, collaboration tools, and code repositories—creates surface area of risk with generative AI platforms and solutions. We also examine how Versa’s Unified SASE…
Learn how AI is necessary to provide the deep observability and visibility into network and application performance for a exceptional user experience and zero outage branch.
Discover how enterprises are preparing their networks for AI. EMA’s research reveals critical insights on SD-WAN, SASE, security, and observability.
This blog shows how bringing LLM-powered automation into policy management helps security and networking teams build, audit, and optimize network policies more efficiently. It integrates into existing workflows, offering real-time access to current configurations and intelligent policy insights — all without requiring teams to switch tools.
Subscribe to the Versa Blog
Trial
ROI
Contact