Salt expands Agentic Detection and Response with LLM runtime and prompt security

Agentic AI · Identify AI agent risk

AI agents are your new workforce, and your new attack surface.

Every action an AI agent takes is an API call. Salt protects the APIs that power your AI from abuse, manipulation and compromise: it sees which agents call which APIs, catches the logic exploits aimed at them, and keeps a record of everything they do.

“Unlock existing security team members to do more interesting, value-added projects.”

Healthcare customer · via Gartner Peer Insights

The challenge

Agents act faster than your controls can see.

AI agents call your APIs on their own, at machine speed, with tokens and permissions nobody reviewed. Every one of those calls is a way in.

01 No view of what agents call

Few teams can say which APIs their agents reach, how often, or on whose behalf.

02 Logic exploits aimed at AI

Prompt injection, data poisoning and command manipulation all arrive through APIs, and look like normal requests.

03 Agents cross trust boundaries

Over-privileged agents trigger workflows and move personal data they were never meant to touch.

The shift

Stop trusting agents by default. Watch what every agent actually does.

How Salt solves it

See every agent call, then stop the ones that cross the line.

Step 01 · Salt Connect · Salt Collect Discover and monitor agent API activity

Salt tracks which APIs your AI agents call, when and on whose behalf, and profiles how each agent normally behaves, so anomalies stand out.

  • Track API calls from every AI agent
  • Behavioral profiling of each agent
  • Alerts on elevated or inappropriate privileges

Step 02 · Salt Protect Detect and stop logic exploits

AI is vulnerable to prompt injection, data poisoning and command manipulation, all delivered through APIs. Salt detects these attacks and blocks harmful agent actions in real time.

  • Prompt injection detection
  • Monitoring for payloads aimed at training or inference
  • Agents kept inside their trust boundaries

Step 03 · Salt Collect Secure the trust layer

People interact with AI through APIs. Salt shows what personal data passes between users and AI, and keeps a complete timeline of what each agent did.

  • Monitor sensitive data exchanges
  • Audit agent-led transactions
  • Prove agents follow business logic and compliance checks

The modules behind it

Built on the Agentic Security Platform.

Salt gives you breadth across every agent, MCP server and API, and depth across exposure, source code, configuration and runtime behavior. This solution brings together Salt Connect, Salt Collect and Salt Protect.

By role

What it means for your team.

For AppSec and DevSecOps Give every agent only the access it needs

  • Correlate agent behavior with identity tokens and API session flows
  • Set API-level policies that limit agent actions by scope or context
  • Feed findings into AI governance tools and model assurance pipelines

Fix the flaws attackers found

  • Get remediation steps for each exploited vulnerability
  • See which APIs attackers targeted, and how
  • Close OWASP API Top 10 gaps found at runtime

For GRC and compliance Show every incident was handled

  • Keep a complete record of each attack and response
  • Share attack timelines with auditors and leadership
  • Show coverage of the OWASP API Security Top 10

Go deeper · CISO guide

10 Questions to Ask Before Deploying Agentic AI

A short read for security leaders deciding how to govern the agents their teams deploy.

Read the CISO guide

FAQ

Frequently asked questions about AI agent risk.

What is AI agent risk?
How does Salt identify risky AI agent behavior?
Can Salt stop prompt injection attacks on AI agents?
How can I audit what AI agents did?
Which compliance frameworks does Salt map agent posture to?

See what your agents are really doing.

Book a demo and we’ll walk through the agents, MCP servers and APIs in your environment, and what each one can reach.