Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Organizations like Renesas face critical risks when utilizing AI, as these platforms often incorporate user-submitted data into their models. Significant security incidents have occurred where sensitive source code, firmware, and proprietary designs were inadvertently made public after being uploaded for testing. A major business risk involves the potential loss of intellectual property, which can directly impact an organization's primary revenue streams. Beyond data leakage, AI presents risks through "poisoning" and the fact that AI-generated output is frequently inaccurate.

Secure secrets for agentic workflows with 1Password MCP Server and Codex As AI agents write, execute, and ship production code, they need access to systems like databases, APIs, and deployment pipelines. With 1Password Environments MCP Server for Codex, instead of putting credentials directly into prompts or files, we provision a secure runtime environment where secrets are mounted, used, and discarded, with user authentication required at the moment of access.

AI agents are becoming an inseparable part of identity governance, sometimes being created by other AI agents and acting proactively across platforms at machine speed — but who’s watching them? Identity Manager 10.0 by One Identity answers that question. Hear Ingrid Thorpe, director of product management for Identity Manager, explore how the solution governs agentic workflows, tackles agent-specific risks and integrates across cloud and enterprise platforms, holding non-human identities (NHIs) accountable.

Agents need boundaries | Fotis Chantzis from OpenAI Agents don't fit old identity models. As OpenAI’s Agent Security Lead, Fotis Chantzis has a front-row seat to see how agents push identity systems beyond what they were built to control. That’s where things start to fall apart and where most teams lose control.