Google recognizes the evolving cybersecurity landscape with the rise of autonomous systems. They are actively developing solutions to secure Large Language Models (LLMs) and defend against sophisticated cyber threats. This involves building security directly into the development lifecycle with real-time guardrails and unifed asset graphs. Google has introduced CodeMender, an autonomous code-security agent that finds and fixes vulnerabilities at machine speed. CodeMender utilizes advanced models like Gemini 4 Argon to identify unknown vulnerabilities and generate tested patches. This tool offers secure isolation and flexible scanning modes to enhance efficiency and reduce risks. Google Cloud is also implementing foundational security and governance controls for autonomous workloads across various platforms. New features like Auth Manager, identity-based VPC Service Controls, and Model Armor enhance agent identity, network perimeters, and topic adherence. To combat threats operating at machine speed, Google is empowering defenders with agentic, intelligence-driven operations. This includes continuous monitoring, automated threat hunts, and autonomous alert analysis. Google is collaborating with Wiz to provide end-to-end defense, integrating their platforms for comprehensive security. Joint initiatives like Scan for Good offer advanced autonomous technology to under-resourced organizations. Google is committed to disrupting adversaries at the source and enhancing defensive architectures. By embracing secure-by-design pipelines and machine-speed operations, enterprises can better defend themselves in the agentic era.