Salt Security

Salt Security makes sense when you're deploying AI agents at scale and need visibility into what those agents actually do across APIs and MCP servers. Most API security tools can't distinguish between human and agent traffic; Salt's Agentic Security Graph gives you that context. If you're in a regulated industry—finance, healthcare, retail—the posture management and compliance governance will save you audit headaches. For DevSecOps teams using AI coding agents like GitHub Copilot, Salt Code lets you enforce security policies from the start, which is smarter than catching issues later. But Salt isn't for everyone. Small businesses or teams without a mature SOC will struggle with the complexity and the price tag, which is enterprise-only with no published tiers. If you just need LLM model security (prompt injection, jailbreaks), tools like Fiddler or Onyx Security might be lighter options. For API security without agentic context, CrowdStrike Falcon or Palo Alto Prisma Cloud cover some ground—but they lack the agent-action-layer depth. Where it bites: Salt requires serious integration effort across your cloud providers, API gateways, and endpoint tools. The platform assumes you have dedicated security analysts to triage the risk graph. If you want a self-serve, no-code setup, this isn't it. In practice, we'd reach for Salt when you need to prove to auditors that every agent action is monitored and that shadow APIs aren't leaking data—it's the most defensible choice for large enterprises going all-in on agentic AI.