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

Salt Code · Policy enforcement inside AI coding assistants Stop reviewing
AI code. Start
governing it.

AI is becoming the primary way software gets built, and the APIs, MCP integrations and agent tools it writes are where agentic risk starts. Salt Code enforces your security policies inside every AI coding assistant, with 140+ pre-built policies, so code is compliant by default from the first prompt through runtime.

The problem

AI writes faster than anyone can review.

AI coding assistants generate APIs, MCP integrations, agent tools and application logic faster than security teams can check them. None of them were trained on your internal standards or regulatory requirements.

01 Insecure patterns ship unnoticed

Developers prompt their way to working code. Your policies never enter the conversation, and neither does anyone qualified to enforce them.

02 Security finds issues too late

SAST and DAST catch problems after code is committed and reviewed. Every fix becomes a rewrite, and every rewrite is a delay.

03 Policy enforcement is manual

Your policies live in PDFs, wikis and tribal knowledge. The AI building your software has read none of them.

The shift

Stop reviewing code after it is written. Make it compliant the moment it is created.

How it works

Policy enforcement from prompt to production.

Step 01 Unified governance

Salt Code gives security teams one policy model for how APIs, MCP servers and agents are built, configured and validated in production.

  • APIs
  • MCP servers
  • Agents

Step 02 Discover

Identify what is being built across code repositories and cloud environments, and how it connects, before risk has a chance to hide.

  • Code repos
  • Cloud environments
  • Connections between systems

Step 03 Enforce during generation

Salt turns your security policies into rules that guide AI coding assistants in real time, so output is compliant by default. No developer asks for it, no reviewer chases it.

  • Cursor, Copilot, Claude and more
  • 140+ pre-built policies
  • Custom rules

Step 04 Govern in the pipeline

Policy validations extends into CI/CD and pull requests. Downstream SAST and DAST findings drop because the issues were never written.

  • CI/CD workflows
  • Pull requests
  • Blocked before release

Step 05 Validate in runtime

Monitor behavior across APIs, MCP integrations and agents in production. Detect policy violations, posture gaps and anomalous activity.

  • Violations
  • Posture gaps
  • Anomalous activity

Step 06 Remediate and improve

Findings become actionable fixes in developer workflows and in the assistants themselves, so the baseline quality of AI-generated code improves every cycle.

  • Fixes in developer workflows
  • Feedback into assistants
  • Better baseline each cycle

The product

One console. Every policy. Every assistant.

Define policy once. See active developers, policy invocations across MCP tool calls, the top guidance applied and every coding context pack in one place. From OWASP API Top 10 to MCP Security Top 10 to your own custom rules.

Sample Salt Code console

Part of the platform

Source code is where agentic risk starts.

Salt gives you breadth across every agent, MCP server and API, and depth across exposure, source code, configuration and runtime behavior. Code is the source code layer, and it closes the loop from code to runtime.

Why it matters

Compliance becomes a property of the code itself.

01 Enforce your policies automatically

Internal standards, industry best practices and regulatory requirements applied to every line of AI-generated code, with no developer effort.

02 Prevent risk at the source

Vulnerabilities never enter your environment. The fastest fix is the one that never had to happen.

03 Cut developer friction and pipeline noise

SAST and DAST findings drop because the issues stopped being created. Developers ship faster.

04 One standard for every developer

Seasoned engineers, citizen developers and overnight agentic prototypes all answer to the same policies.

Use cases

Where your team would use it.

Integrations

Works with every AI coding assistant in your stack.

If it supports MCP, Salt Code governs it. Developers keep the tools they already use.

C
Claude Code
C
Cursor
G
GitHub Copilot
W
Windsurf
K
Kiro
C
Codex
G
Gemini CLI
A
Antigravity
V
VS Code
O
OpenCode
J
JetBrains
A
Any MCP client

Make every line of AI-generated code follow your rules.

Salt Code is available now.