Your AI Stack Is Already Being Exploited. You Just Don't Know It Yet.

How ARCADA audits the attack surface most security tools don't even know exists. 01 — THE PROBLEM The security tools you trust weren't built for this. In 2024, a researcher at a Fortune 500 company discovered a backdoor in a popular Python package. It had been there for 14 months. The existing SAST tools found nothing. The code reviewers saw nothing. The CI pipeline passed every check. The package had been downloaded over 40 million times. This wasn't a zero-day exploit or a nation-state attack. It was a malicious setup.py hook that executed at install time, exfiltrating environment variables to a remote server. The kind of attack that's been in the attacker playbook for years but that traditional security tooling systematically misses. The gap Tools like Bandit, Semgrep, and Snyk are excellent at what they were built for: finding CVEs in known libraries and flagging dangerous patterns in application code. But the AI ecosystem has introduced an entirely new attack surface one that didn