Posts tagged ‘AI Security’
The Network Is The First Line Of Defense – It’s Time To Treat It That Way
Artificial Intelligence (AI) Requires a New Approach to Network Security
What Enterprises Are Really Saying About AI Security
Shadow AI, prompt-level data leakage, agent-to-agent traffic — here’s what security and network executives are actually prioritizing around AI governance, and the 4 questions every platform must answer.
The Complexity Tax: What Enterprise Fragmentation Is Actually Costing You
Thirty-five percent of organizations surveyed for Versa’s inaugural Annual State of SASE + AI Report, “The Cost of Complexity suffered a security breach in the past year that was directly caused or worsened by poor coordination between networking and security teams. Not by a sophisticated nation-state actor. Not by a zero-day exploit. By the seam between two teams that report to different people, fund different tools, and measure success differently.
Beyond Security: How Agentic AI is Redefining Infrastructure Operations
Artificial Intelligence is rapidly reshaping infrastructure operations. Much of the early focus has been on transforming security operations including automating threat detection, accelerating response times, and reducing security analyst fatigue. While these advancements are essential, they address only part of the problem. Modern enterprises operate highly distributed environments where network performance, application delivery, and user experience are just as critical as security. Limiting AI transformation to security operations alone is no longer sufficient. Enterprises today require a unified operational model that spans network operations, security enforcement, user experience, and infrastructure management. The real opportunity is not just to make security…
The WAN for AI-era applications is becoming a single system
Dell’Oro Group is putting a sharper name on something enterprise teams have been feeling for a while: in the AI era, the “WAN” cannot be a collection of loosely coupled products anymore. It has to operate like one end-to-end system with one policy model, one telemetry story, and one operational workflow.
Part 7. End-to-End Flow: North–South and East–West Controls (How It All Comes Together)
This series introduced the building blocks of enterprise GenAI security. In Parts 1–6 we introduced the building blocks. This post shows how the whole system works end-to-end, using one simple picture and a few real-world walk-throughs.
Part 6. The Full AI Security Architecture: Secure the Brain, Secure the Hands, Secure the Memory
By now you’ve seen the building blocks:
Discovery
Control
Prompt inspection
Model governance
Tool governance
This post ties these pieces into one system that a real enterprise can run.
Catching a Ni8mare: Inline Defense against CVE-2026-21858
CVE-2026-21858 (aptly dubbed “Ni8mare”) is a critical vulnerability affecting n8n, a widely deployed workflow automation platform increasingly used to build agentic AI pipelines. It weaponizes a simple arbitrary file read flaw into full, unauthenticated Remote Code Execution (RCE)
Securing Enterprise GenAI: From Visibility to Control with Versa Unified SASE
Generative AI is rapidly becoming embedded in enterprise workflows. Developers use it for code generation, analysts rely on it for research, and business teams leverage it for content creation and productivity. While the efficiency gains are significant, generative AI also introduces a new class of security risks that traditional security architectures were never designed to address.
Securing the Modern Browser: How Versa Remote Browser Isolation Protects an AI-Driven Workforce
Remote Browser Isolation (RBI) is a critical defense against zero-day threats, data loss, and unmanaged device risk. Learn how Versa RBI integrates natively with Unified SASE to secure the browser across your enterprise.
Company Updates
Building Secure, AI-Optimized Data Centers: A Blueprint for CIOs and Network Architects
Artificial Intelligence is pushing enterprise data centers to their limits and most aren’t ready. As organizations deploy GPU-packed clusters and scale out AI inference, traditional architectures struggle to deliver the performance, scalability, and uncompromising security that modern AI demands. Regulated industry-based Enterprises or those with critical intellectual property or sensitive information are not willing to put their sensitive data on third-party clouds or AI applications hosted elsewhere.
Company Updates
Introducing the Versa Secure Enterprise Browser Early Access Program — Sign Up for Early Access
The browser is the primary enterprise workspace, but most security controls stop at the network or endpoint layer. Versa Secure Enterprise Browser brings Zero Trust enforcement directly into the browser session. Join the Early Access Program to secure SaaS, GenAI, and BYOD access within the Versa SASE platform.
AI Thought Leadership
Part 5 — Securing Tool Access: MCP Server and MCP Gateway (The “Hands” Control Point)
By Kumar Mehta
Founder and CDO, Versa Networks
March 18, 2026
Most AI incidents don’t start with “bad answers.” They start with “the AI took an action it shouldn’t have.”
That is why tool access matters as much as model access.
AI Thought Leadership
Part 4. Securing Model Access: Model Gateway and LLM Proxy (The “Brain” Control Point)
By Kumar Mehta
Founder and CDO, Versa Networks
March 11, 2026
Parts 1, Part 2, Part 3 focused on visibility, policy, and inspection. Now we are moving into infrastructure. Once AI is in production, model calls become critical traffic. If those calls bypass governance, you lose policy enforcement, visibility, cost control, and consistent inspection. A Model Gateway solves that by acting as the front door for model access. 1) What a Model Gateway is (plain English) A Model Gateway is the “front door” for model traffic. Instead of every team calling model vendors directly, all model requests go through one controlled layer. A Model Gateway can: If a model is the…
Industry Insights
Three predictions that will reshape enterprise security and operations in 2026
By Kelly Ahuja
CEO, Versa Networks
March 6, 2026
As we head into 2026, innovation will be shaped by three shifts: the reshaping of traffic flows through AI-driven edge computing, the decoupling of users from devices through enterprise browsers, and the emergence of real governance boundaries for autonomous AI inside the enterprise. The organizations that win won’t just adopt new tools, they’ll embrace them by modernizing architectures, strengthening security foundations, and defining clear guardrails for AI.
AI Thought Leadership
Part 3. Prompt Inspection: How You Stop Data Leaks and Prompt Injection
By Kumar Mehta
Founder and CDO, Versa Networks
March 4, 2026
Prompt inspection is not just “keyword filtering.” It is security inspection for AI interactions. The goal is to stop AI from becoming a silent data leak path or a pathway to unsafe actions.
AI Thought Leadership
Intelligent Edge: The Future of Branch and Campus in the AI Era
By Rajesh Kari
Director, Product Marketing
March 3, 2026
Distributed intelligent computing has arrived. Processing power, data, and intelligence are no longer confined to centralized cloud or data centers. Instead, they are distributed across data centers, cloud, edge locations, campuses, branches, and even devices. While prior phases of computing, internet, mobility, and cloud fundamentally reshaped how we live and work, this next phase is poised to have an even more profound impact.
AI Thought Leadership
AI-Generated Malware Like VoidLink: Why Architecture, Not Hype, Is the Real Defense — and How Versa SASE Delivers It
By Dhiraj Sehgal
Senior Director, Product Marketing
February 27, 2026
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.
AI Thought Leadership
Part 2. GenAI Control: Who Can Use What, With What Data, and Under What Rules
By Kumar Mehta
Founder and CDO, Versa Networks
February 25, 2026
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 Thought Leadership
Part 1. The New AI Perimeter: Discovery and Inventory for GenAI
By Kumar Mehta
Founder and CDO, Versa Networks
February 18, 2026
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.
Subscribe to the Versa Blog
Recent Posts
