Topic · 3 episodes
AI Model Deployment and Security Controls
Every Onpode episode on AI Model Deployment and Security Controls.
Episodes
AI companies are backing away from safety pledges even as their models get more powerfulThe Future of Life Institute's AI Safety Index graded every major AI company on safety commitments — the best score in the industry was a C+, earned by Anthropic, which simultaneously dropped its pledge to pause development at a danger threshold. OpenAI, Google DeepMind, and Meta all weakened or eliminated similar commitments.
Oracle is pushing 'Secure by Enforcement' runtime controls for AI agents — least privilege, JIT access, approval workflowsOracle's 'Fusion AI Agents: Secure by Design,' published June 15, 2026 by Principal PM Reshma Sivakumar, applies four runtime controls to AI agents — least privilege, just-in-time authorization, deterministic tool contracts, and approval workflows. The guidance is labeled best-practice, not a mandate, leaving enterprises free to ignore it under operational pressure.
AI-generated workflows are automating tasks successfully — but teams can't see how or whyAn analysis of 847 AI agent deployments in 2026 found 76% failed in production, while 1.5 million corporate AI agents run with no monitoring or audit trail. Security experts say the problem isn't broken AI — it's AI that appears to work but whose decisions no one can inspect or explain.