Contexte du modèle Sécurité du protocole
MCP agit comme un plan de contrôle de sécurité universel qui standardise l’application des politiques dans les flux de travail d’IA de l’entreprise.
Snegha Ramnarayanan
Snegha Ramnarayanan leads Data and AI product marketing at Wiz, working closely with customers to help them secure and accelerate their AI initiatives. Previously, she worked in field and product roles in cybersecurity, including at Okta and VMware. Snegha holds an MBA from the Haas School of Business and a Bachelor’s in Electrical Engineering from the University of Illinois Urbana-Champaign. She is based in New York, where she enjoys exploring the food and culture scene, traveling, and connecting with loved ones over a warm cup of coffee.
Articles Snegha Ramnarayanan
Securing Agentic AI: What Cloud Teams Need to Know
Agentic AI security protects AI systems that autonomously make decisions, use tools, and take action in live environments. Agentic AI doesn't just answer questions—it acts on them.
Qu’est-ce qu’une AI-APP ? Guide de sécurité de l’AI Application Protection Platform
Une AI Application Protection Platform (AI-APP) est une solution conçue spécifiquement pour intégrer visibilité, évaluation des risques et défense active sur tout le cycle de vie IA.
Top DSPM Solutions: Choosing the Right One for Cloud Data Security
Compare the top 7 DSPM solutions for 2026 and evaluate cloud native coverage, AI-powered classification, and risk prioritization to secure your sensitive data.
Regarder la démo de 12 minutes
Regardez comment Wiz transforme la visibilité instantanée en une remédiation rapide.
Les fondamentaux de la sécurité des modèles d’IA
La sécurité des modèles d'IA protège les artefacts des modèles contre les attaques ciblant les vulnérabilités uniques tout au long de leur cycle de vie, depuis l'entraînement initial jusqu'au déploiement en production et à l'utilisation en temps réel.
Menaces liées à l’IA agentique : une perspective de sécurité cloud
Les menaces liées à l'IA agentique relèvent de défaillances de contrôle, et non de défaillances d'intelligence. Elles surviennent lorsque des systèmes autonomes fonctionnent avec un accès persistant, une autorité déléguée et des garde-fous insuffisants dans les environnements cloud.
Sécurité de l’exécution de l’IA dans le cloud : sécurisez votre IA au moment le plus important
La sécurité en temps d’exécution de l’IA protège vos applications, modèles et données d’IA pendant le fonctionnement actif. Allant au-delà de l’accent mis par la sécurité traditionnelle sur l’analyse statique avant le déploiement, la sécurité en temps d’exécution surveille le comportement de l’IA lors de l’inférence tout en traitant activement les requêtes des utilisateurs et les données sensibles.
Posts Snegha Ramnarayanan
Securing Data in the AI era
AI is changing the context around data risk, making it critical to understand what’s connected, what’s exposed, and why.
Wiz at Black Hat 2026: Driving AI Threat Readiness
Announcing new capabilities that help organizations prepare for the AI era by expanding visibility and accelerating response, so security teams can defend at machine speed.
Build AI Security Agents with Wiz MCP
Power AI-driven security with trusted security context, Wiz AI Agents, and Wiz AI Skills.
Claude Enterprise Meets the Security Graph: Wiz Integrates with Anthropic's Compliance API
Security and compliance teams can now monitor Claude activity directly in Wiz, extending the workflows they already rely on to AI
Meet Wiz for M365: Bringing SaaS into the Security Graph
Secure Microsoft 365 and the cloud it powers — one platform, one graph, complete context.
Wiz and Databricks: Adding Databricks to the Wiz Security Graph
Extending Wiz Visibility with the Databricks Data & AI Platform
Introducing Shadow Data Detection: Reduce Cost and Risk Across Your Cloud
Identify stale, duplicated, and inefficient data — and take action to shrink both your storage spend and exposure surface.
Introducing Wiz AI Application Protection Platform (AI-APP)
Secure every layer of AI applications — infrastructure, data, access, models, agents, and applications — from code to runtime, across every environment you build in.
Introducing Wiz Agents & Workflows: Security at the Speed of AI
A new security operating model powered by AI agents that removes bottlenecks and enables teams to act at the speed of AI
AI Runtime Threat Detection: From Input to Real-World Impact
Understanding and detecting AI-driven behavior across model, workload, and cloud
Understanding and Reducing AI Risk in Modern Applications
Identify real AI risk by connecting signals in context across the layers of AI applications.
Seeing AI Clearly: Building Visibility Across Modern AI Applications
AI applications span models, agents, and cloud environments in ways traditional security tools weren’t designed to understand. Here’s why visibility breaks — and how a new, implementation-agnostic approach helps teams safely adopt AI.
Security Insights Where Work Happens: Notion Custom Agents + Wiz MCP
Bring Wiz cloud security insights into your Notion workspace with Custom Agents — enabling automated reporting, investigation, and security workflows where teams already work.
From MCP to Vibe Coding: Full Endpoint Visibility in Wiz AI Security
How Wiz AI-SPM delivers a complete view of exposed AI application endpoints — from Vibe Coding to MCP — and why that visibility matters.
Bringing Oracle Cloud Identity to Wiz
Unified visibility into OCI identities, permissions, and policies — mapped into Wiz’s Security Graph.
AI-Powered Wiz: From Agents to Everyday Intelligence
How Wiz AI Agents and Integrations Meet You Where You Work
Securing AI Agents with Wiz AI-SPM
How Wiz brings visibility, context, and continuous defense to the new era of intelligent automation.
AI Security 101: Mapping the AI Attack Surface
A practical guide to the risks, blind spots, and protections every security team needs to know.
How Wiz Customers like Brex and FICO See AI Changing Security
Executives from Brex and FICO share how AI is reshaping security strategies.
Data Foundations: From Insight to Action
Now that you know what data you have and how it’s classified, here’s how Wiz helps you respond—with structured frameworks, flexible remediation paths, and built-in compliance tools
Wiz Data Foundations: Data Classification
A closer look at Wiz’s data classification engine — including our new Novel Classifiers
Federal Data, Meet your New Bodyguard: DSPM joins Wiz for Government
Wiz is excited to bring Data Security Posture Management (DSPM) into our FedRAMP authorized offering. DSPM enables organizations requiring FedRAMP to automate classification, policy enforcement, and continuous monitoring for their sensitive cloud data.
Wiz Data Foundations: Where’s My Sensitive Data—And Who Can Access It?
A hands-on walkthrough of how to use Wiz to find sensitive data and uncover who can access it.
Securing Cloud Databases: Best Practices with ClickHouse and Wiz
How to protect sensitive data in cloud-hosted databases with built-in security controls, best practices, and continuous risk monitoring.