Still adapting to the initial Gen AI boom, the IT industry is now undergoing another profound evolution- the rise of Agentic AI. AI has moved beyond pattern recognition and creation of content, to systems designed not just to think or create, but to autonomously, plan and act, making decisions and using tools to achieve users’ specified goals. Agentic AI promises to deliver operational efficiencies, cost reduction and productivity gains by automating entire workflows and optimizing end-to-end processes.
Building the agentic workflows of the future is a full-stack endeavor. To provide a foundation for enterprise IT infrastructure, NVIDIA has introduced the NVIDIA Enterprise AI Factory validated design
Securiti integrates with NVIDIA Enterprise AI Factory validated design to help safeguard agentic AI systems. By leveraging these validated designs, customers can rapidly deploy and scale essential services for agentic AI, including Securiti’s AI TRiSM, providing robust governance, risk mitigation, and security controls for autonomous AI operations.
Ability to use powerful tools make agentic AI transformative. Leveraging standards like Model Context Protocol, agents are able to connect to a wide variety of tools and data sources from which derive context that aids decision making or take action. While the “brains” of an agent is almost always an LLM to which it passes inputs and retrieves outputs, agents can be given broad access to tools and significant autonomy to decide which tools to access and when. But to develop agentic AI safely, agents must be given the right data during training and protected from accessing the wrong data during deployment. They also must be safeguarded against indirect attacks that target the tools with the goal of getting the agent to pass malicious prompts into the LLM.
