Salt Security

Salt Security developed the industry’s first Agentic Security Platform, designed to secure the new digital infrastructure created by LLMs, AI agents, MCP servers, and APIs. As organizations deploy autonomous agents that reason, decide, and act across enterprise systems, the traditional security perimeter breaks down. Agents do not just think, they act. They call APIs, trigger workflows, write to databases, and execute tasks across your infrastructure. The moment an agent decides to do something, it leaves the model layer entirely and enters your enterprise systems. That is the action layer. And right now, most security teams have almost no visibility into it. The modern enterprise runs on an Agentic AI action layer where LLMs provide the reasoning, MCP servers provide the connectivity, and APIs are the buttons and levers that turn agent decisions into real-world consequences. Securing the model without securing the action layer is not a security strategy, it is a gap. Salt provides continuous visibility and protection across this architecture through the Agentic Security Graph—a correlated view of agents, MCP servers, APIs, and downstream systems that draws from four distinct data sources: external exposure, configuration posture, code-level signals, and live runtime traffic. By combining cloud-scale big data, patented AI/ML, and deep behavioral analysis, Salt detects the subtle attack patterns traditional tools miss, including business logic abuse, lateral movement, and low-and-slow attacks that pass prompt filters cleanly and only reveal themselves at the action layer. The Salt platform enables organizations to: • Discover all APIs, MCP servers, shadow deployments, and agent-connected services • Govern posture across distributed agentic environments • Detect and stop behavioral attacks in real time • Understand how AI agents interact with sensitive systems and data • Reduce risk while accelerating AI adoption