Case Studyagentsprompt injectionadversarial mlopen source
Block Strengthens Goose Agent Security Practices
|
8.2
In an exclusive interview with The Register, Block CISO James Nettesheim outlines how Block secures Goose, the company's open-source AI agent used by nearly all of its 12,000 employees. He describes red-team testing that executed a prompt-injection infostealer, then details mitigations including least-privilege access, recipe-install warnings, invisible-Unicode detection, and adversarial-ML checks to validate inputs and outputs for safer enterprise deployment.
Scoring Rationale
Actionable enterprise controls and official red-team evidence drive score, limited novelty given existing prompt-injection awareness across the industry.
Practice with real Ad Tech data
90 SQL & Python problems · 15 industry datasets
Used by DS/ML engineers at top companies
Active Search Campaigns by BudgetEasyHigh CPC Clicks & Poor Landing PagesMediumCampaign ROAS by Attribution ModelHard
250 free problems · No credit card
See all Ad Tech problems
