Inside 90 days of attacks on AI infrastructure
Wiz honeypots uncover active campaigns targeting LiteLLM, MCP servers, and AI frameworks through RCE, blind prompt injection, and memory credential theft.
Wiz honeypots uncover active campaigns targeting LiteLLM, MCP servers, and AI frameworks through RCE, blind prompt injection, and memory credential theft.
Wiz Red Agent independently discovered and exploited a GitHub Actions injection missed by GitHub’s Advanced Security, validated access to sensitive data in Snowflake’s internal Jira, and assessed the blast radius—all without human intervention, five days after the flaw became live.
Start your path to a self-healing cloud today, with Wiz Workflows now GA and Remediation and Response in public preview.
AI is changing the context around data risk, making it critical to understand what’s connected, what’s exposed, and why.
Reverse engineering Metabase CVE-2026-72898 with AI to accelerate defense.
Enterprise AI AppSec requires more than powerful models. It requires a system that balances speed, depth, and cost across the software lifecycle.
See how Wiz built Atlas, an autonomous AI system for vulnerability research that validates every finding with a real, working exploit.
Mapping appliances event logs to real-world campaigns: A step-by-step researcher’s guide to continuous agentless monitoring.
Power AI-driven security with trusted security context, Wiz AI Agents, and Wiz AI Skills.
As the time from vulnerability discovery to exploitation shrinks, building with minimal, secured components is more important than ever. Here is how WizOS helps.
Your guide to operationalizing AI-powered threat detection and response with Wiz to stay ahead of AI-driven attackers.
The spotlight has been on frontier models, but the goals are more far reaching -- including supercharging cyber defense and remediating risk at machine speed