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bucket malware scanning

Upwind Launches Malware Scanning for Cloud Storage Across AWS, Azure, and GCP

Cloud object storage plays a central role in modern applications. Buckets are used to store application assets, exchange files, manage backups, build data pipelines, and share information across services and teams. That flexibility also makes object storage an attractive attack vector. A malicious file uploaded to a bucket can introduce risk into downstream applications, workloads,…
API-ASM Blog

Validate the Real-World Exposure of Your APIs with Upwind Attack Surface Management

Your APIs are probably the least-monitored component of your attack surface. They multiply faster than any team can document, and most scanners only ever pick up the ones you already know about. But that gap just got smaller. Upwind’s Attack Surface Management capabilities now provide a unified view of cloud and API exposure, helping security…
PagerDuty-Hero

Upwind Integrates with PagerDuty for Instant Incident Response

Upwind now integrates with PagerDuty, enabling security teams to create workflows that automatically route Upwind findings and detections to the appropriate on-call team based on existing incident management workflows. This integration expands Upwind's growing library of native workflow integrations, giving security and platform teams even more ways to turn real-time detections into immediate action. What's…
upwind-identities

Introducing the Upwind Identity Graph: End-to-End Identity Security

Identity used to be treated as a directory problem: find the user, inspect the groups, review the assigned roles, and decide whether the account has too much access. That model no longer matches the cloud. A single person may authenticate through Okta, inherit permissions from multiple groups, receive role assignments in more than one cloud,…
AI-Graph

Introducing the Upwind AI Graph: Extending AI Inventory Beyond Cloud Infrastructure

As enterprise adoption of artificial intelligence accelerates, modern AI infrastructure has expanded far beyond traditional cloud perimeters. Securing enterprise AI today requires complete visibility across four distinct operational layers: Traditional cloud security tools stop at the cloud provider boundary. When enterprise teams connect directly to external AI Providers, security teams lose sight of access paths,…
upwind-code

Upwind Code Brings Cloud Security Into the Development Control Plane

Cloud applications begin long before they reach the cloud. Source code, open-source dependencies, infrastructure definitions, container images and pull requests all shape what will eventually run in production. Yet these layers are often secured separately. Software Composition Analysis (SCA) tools inspect dependencies, Infrastructure as Code (IaC) scanners inspect configuration files, container scanners inspect artifacts and…
Red-agent-deep-dive

Building Autonomous Cloud & AI Security

How Upwind’s Agentic Pack uses NVIDIA Nemotron 3 Super and NVIDIA garak agent breaker probe to continuously validate cloud posture, attack surfaces, and AI applications. By: Avital Harel, Alon Saban, Yuval Elarat (Upwind). Eliya Cohen, Shiri Hochhauser, Orel Hazai (NVIDIA) Executive Summary AI-generated code, autonomous agents, MCP servers, and cloud-native architectures are transforming how software is…
Agent Scanner

Announcing the Upwind AI Context Scanner – Securing AI Agents’ Instructions, Skills and Model Context

AI agents are spreading across enterprise operations, from local coding tools on employee endpoints, to agents operating infrastructure or processing sensitive customer data, to fully autonomous cloud workflows. Agents operate with human credentials and gain real system access, and introduce a brand-new attack surface. To secure an AI agent, you have to look deep in…
AI-DR-Hero (1)

Upwind AI DR is Generally Available: metaCatch Compromised AI Agents in Real Time

We're excited to announce that Upwind AI DR (AI Detection & Response) is now generally available. AI DR gives security teams real-time detection and response for the AI agents running in production, not by bolting on a new sensor, but by extending the runtime intelligence Upwind already has. The Upwind Cloud & AI Security Platform…
Focus-Mode

Focus Mode for AI Security: A Dedicated Workspace for Identifying and Securing Your AI Stack 

When we launched Focus Mode, we built it around the way security teams actually work: Vulnerability Management, Cloud Security Posture, Attack Surface Management, Threat Detection & Response, Administration. Each one strips away everything unrelated to the job at hand. AI Security is the next domain in the Focus Mode lineup, and it's built for a…
API Custom Threat Detection

Upwind brings Custom Detection Policies for APIs

Every API has a different risk profile. An internal billing endpoint and a public-facing authorization endpoint don't fail the same way. They don't get attacked the same way either. A generic ruleset can't account for that. Custom rules can, and now those rules can see sensitive data too. This new release brings two things together…
KSPM-Agentless-Scanning

Complete KSPM: From Pull Request to Production Runtime

Kubernetes environments move fast. Workloads appear and disappear, container images change continuously, services are exposed, permissions evolve, and development teams deploy updates throughout the day. But most cloud security platforms force practitioners to investigate Kubernetes risk through interfaces designed for the broader cloud, leaving teams to manually filter the noise before they can begin investigating…
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