モデル コンテキスト プロトコル セキュリティ
MCP は、エンタープライズ AI ワークフロー全体でポリシーの適用を標準化するユニバーサル セキュリティ コントロール プレーンとして機能します。
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.
Snegha Ramnarayanan の記事
エージェンティックAIのセキュリティ確保：クラウドチームが知っておくべきこと
エージェンティックAI（自律型AI）のセキュリティは、実際の運用環境において自律的に意思決定を行い、ツールを駆使し、行動を起こすAIシステムを保護するものです。エージェンティックAIは単に質問に答えるだけでなく、その質問に基づいて実際に行動を起こします。
AI-APPとは？AIアプリケーション保護プラットフォーム（AI Application Protection Platform）のセキュリティガイド
AIアプリケーション保護プラットフォーム（AI-APP）は、AIのライフサイクル全体にわたり、可視性、リスク評価、および能動的な防御を統合する、専用のセキュリティソリューションです。
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.
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The Fundamentals of AI Model Security
AI model security protects AI model artifacts from attacks targeting unique vulnerabilities across the model lifecycle, from initial training through production deployment and runtime use.
What are Agentic AI Threats? A cloud security perspective
Agentic AI threats are control failures, not intelligence failures. They emerge when autonomous systems operate with persistent access, delegated authority, and insufficient guardrails across cloud environments.
クラウドでの AI ランタイム セキュリティ: 最も重要なときに AI を保護
AIランタイムセキュリティは、アクティブな運用中にAIアプリ、モデル、データを保護します。 従来のセキュリティが静的事前展開分析に重点を置くことを超え、ランタイムセキュリティはユーザーの要求や機密データを積極的に処理しながらAIの挙動を推論的に監視します。
Snegha Ramnarayanan の投稿
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.
Black Hat 2026におけるWiz：AI脅威への備えを推進
可視性を拡大し、対応を加速させることで、組織が AI 時代に備え、セキュリティ チームがマシン スピードで防御できるように支援する新機能を発表します。
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.