AI penetration testing isn't about "breaking math" but extending traditional application security. It focuses on prompt injection, over-trusting outputs, and data leakage to prevent business logic bypasses and unauthorized actions.

Rapid bottom-up AI adoption has outpaced traditional security governance, creating "Shadow AI" risks. Employees unknowingly expose proprietary data to unvetted tools, necessitating clear visibility and guardrails instead of outright bans.

OpenClaw poses severe security risks, including prompt injection, credential leaks, and remote code execution. Experts advise against production use, recommending strict sandboxing to prevent hackers from hijacking your system

Relying on false safety and compliance creates "invisible risk." Without clear visibility, organizations waste resources, burn out teams, and fail to communicate financial exposure. Validation through testing replaces hope with strategy.

This guide details critical 2026 JWT vulnerabilities, including signature flaws and six major CVEs. It provides mitigation strategies for SaaS and FinTech sectors to ensure security compliance.

Scattered Lapsus$ Hunters exploit Zendesk's anonymous ticketing and auto-responders to launch email bombs and phishing campaigns, compelling organizations to implement strict verification controls like CAPTCHA to prevent abuse.