Key Takeaways: AI Threat Readiness Survey Report 2026
Key benchmark findings on shadow AI, orchestration risks, and the imperative for an AI-against-AI defensive model.
Key benchmark findings on shadow AI, orchestration risks, and the imperative for an AI-against-AI defensive model.
AI agents are changing how attackers operate. Explore real-world cases of agentic attacks, learn how to identify their fingerprints, and discover what they mean for the future of cybersecurity.
Reduce triage times and focus on the risks that matter most by combining context across code, infrastructure, and runtime
Core PHP engine flaws enable remote code execution and Heartbleed-style memory disclosure across the web.
Wiz CIRT responded to AI-driven attacks spanning cloud, Kubernetes, CI/CD, and identity. Learn how these attacks behave and how to detect them.
Integrate your existing code scanners into Wiz for a unified view of application risk across your environment.
Find, validate, and fix complex business logic flaws with an AI code scanner backed by Wiz Research, operationalized within your existing security program.
Wiz Research analyzes NordStellar data to map the credentials targeted by infostealer families and assess their potential impact across cloud, code, and AI environments.
New initiative partners with under-resourced organizations to uncover, remediate exploitable risk at scale.
WINning AI with AI: How the Wiz MCP for WIN partners accelerates a connected ecosystem
How default keys, unauthenticated MCP sessions, and custom code guardrails expose cloud AI infrastructure to root-level remote code execution and IAM theft.
Fixing security vulnerabilities in code takes seconds, while patching in production creates high operational costs and risk. Discover how empowering developers as your first line of defense eliminates exposure across every phase of your software pipeline.