Developers paste API keys, tokens, and credentials into AI tools for debugging, creating immediate exposure risks across chat logs and code repositories.

Teams deploy unsanctioned plugins, extensions, and SaaS assistants outside IT oversight, fragmenting governance and making incident response nearly impossible.

Model Context Protocol integrations allow AI agents direct access to organizational files, databases, and APIs without proper authentication or audit controls.

LLMs produce syntactically correct code with silent vulnerabilities-missing input validation, insecure defaults, and outdated dependencies that slip past manual review.

AI workflows span chat interfaces, IDEs, MCP servers, and multiple SaaS platforms, creating visibility gaps that complicate forensics and compliance reporting.

Prompt injection, credential extraction, and LLM manipulation are emerging threats—one compromised prompt can lead to data exfiltration or code execution.