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TLDR; * For product security, always start with foundational controls and add AI controls with introduction of AI usage. * Incorporate organizational policies, paved roads into engineering practices starting from IDE Checks, Build Pipeline Checks, Infra Checks and all other touch points. * For better collaboration with Engineering, provide security systems / platforms, embed
June 24, 2026
TLDR; * When it comes to AI Ransomware Attacks, there are many entry points like models, ML Libraries, Pipelines, Datasets, Prompts, and others. Each area should be paid equal attention to secure the AI systems. * For securing AI systems, organizations should focus on reachability to AI systems, review each component, such
May 20, 2026
TLDR; * When it comes to compliance, do not use it as a checklist. Instead, focus on the security basics and lay a solid foundation, that will help with compliance as well. * Security programs should keep experience in mind for Dev, Engineering, Product, etc. Bad experience could backfire and security could
April 08, 2026