Salt Security
Agentic AI security platform mapping agents, MCP servers, and APIs
Salt Security is the most complete agentic AI security platform for mapping agents, MCP servers, and APIs in a single graph. Essential for large enterprises with mature SOCs; smaller teams will find it overkill and pricey. Compared to model-only tools, Salt covers the full action layer where attacks actually happen.
Verified 10d ago · liveness 69/100 · cite: rightaichoice.com/tools/salt-security
- Enterprises deploying AI agents at scale needing full visibility into agent actions and APIs
- Security teams protecting agentic AI workflows across LLMs, MCP servers, and APIs
- Regulated industries (finance, healthcare, retail) requiring compliance and governance
- Organizations with multi-cloud environments and perimeter security gaps
- Small businesses or teams needing a free or low-cost API security tool
- Organizations focused solely on LLM model security without API concerns
- Teams without a mature SOC to manage the platform
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Skip Salt Security if you need a low-cost, self-serve API security tool for a small team, or if you don't have a mature SOC to manage enterprise-grade security platforms.
Pricing is contact-only, so you'll need to engage sales to get a quote - expect enterprise-level pricing that may be prohibitive for smaller budgets.
Salt Security is positioned as an enterprise-grade solution with contact-only pricing. It's likely more expensive than point solutions like Noname Security or Akamai API Security, but offers broader agentic AI coverage. Best for large organizations with dedicated security budgets.
In short
Salt Security — Agentic AI security platform mapping agents, MCP servers, and APIs. Best for Enterprises deploying AI agents at scale needing full visibility into agent actions and APIs, Security teams protecting agentic AI workflows across LLMs, MCP servers, and APIs, Regulated industries (finance, healthcare, retail) requiring compliance and governance. Contact Sales pricing.
What's new in Salt Security
Checked 10 days agoAcross the latest 2 updates: 2 news mentions.
What is Security Posture Management and Why is it Important?
Explains security posture management concepts relevant to API security posture and governance.
We Trained Cybersecurity Startups to Win POVs, Not Solve Problems
Discusses how agents connected to APIs can scale authorization attacks, highlighting agentic API risks.
Viability Score
How well maintained and how widely used is Salt Security? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Automatic discovery of AI agents, MCP servers, and APIs
- Shadow and zombie API detection
- Agentic Security Graph for contextual risk correlation
- Posture management: misconfigurations, excessive permissions, exposed credentials
- Runtime behavioral attack detection across internal traffic
- MCP server and tool discovery
- Exposed credential and hardcoded token detection
- Anomalous behavior detection for agent-generated API activity
- Salt Code: enforce policies inside AI coding agents
- Salt Collect: analyze live traffic data
- Salt Surface: map external exposure
- Salt Connect: see APIs in your cloud
- Salt Protect: block logic-based threats
- Sensitive data tracking in API traffic
- Integration with CrowdStrike for endpoint correlation
About Salt Security
Salt Security is an agentic AI security platform that secures the entire action layer—LLMs, MCP servers, and APIs—rather than stopping at the model. Built for enterprises and security teams, it automatically discovers every agent, MCP server, and API across your environment, including shadow and zombie APIs that often go unnoticed. The platform's Agentic Security Graph contextualizes risk, distinguishing high-risk agents from benign ones and providing a complete inventory of your AI-driven attack surface. Salt goes beyond discovery with posture management that uncovers misconfigurations, excessive permissions, and exposed credentials before attackers exploit them. At runtime, it detects behavioral attacks and anomalies in real time, including internal traffic that perimeter tools miss—covering agent-generated API activity, MCP tool usage, and abnormal data access patterns. This full-lifecycle approach, backed by eight years of API security research, is designed for organizations deploying AI agents at scale. Salt integrates with your existing stack through CrowdStrike, AWS, Microsoft Azure, Sentinel, Google Cloud, Kong, and GitHub. Its modular tools—Salt Surface, Salt Connect, Salt Code, Salt Collect, and Salt Protect—allow you to extend protection across exposure mapping, cloud visibility, CI/CD, live traffic analysis, and logic-based threat blocking. Salt Code even enforces security policies directly inside AI coding agents, giving DevSecOps teams control from the first prompt. Compared to model-focused security tools, Salt covers the full agentic stack—securing the hands (MCP servers) and the action layer (APIs) alongside the brain (LLMs). This is a contact-sales platform with no public pricing, reflecting its enterprise focus. If you need unified visibility and control over agentic AI risk across a complex, multi-cloud environment, Salt is built to deliver that—though smaller teams may find it heavy.
Behind the Verdict
Salt Security distinguishes itself by securing the full agentic stack—LLMs, MCP servers, and APIs—rather than just the model. Its Agentic Security Graph gives you contextual risk across your entire environment, separating high-risk agents from benign ones. The platform's automatic discovery of shadow and zombie APIs is a standout feature, as these are often overlooked by perimeter tools. Posture management proactively identifies misconfigurations and exposed credentials before attackers exploit them. Runtime protection catches behavioral anomalies in real time, including internal traffic that traditional firewalls miss. Strengths: Deep API security expertise (8 years of research), full lifecycle coverage, strong integration ecosystem (CrowdStrike, AWS, Azure, Sentinel, etc.), and modular tools like Salt Code that embed policy enforcement into AI coding agents. Weaknesses: No public pricing—contact sales only, which may deter smaller teams. The platform's enterprise focus means it may require a mature SOC to fully utilize. Onboarding likely involves professional services. Where it fits: Large enterprises deploying AI agents at scale, regulated industries (finance, healthcare, retail) needing compliance and governance, and organizations with multi-cloud environments. Where it doesn't: Small businesses needing a low-cost or self-serve API security tool, teams focused solely on LLM model security, or those without a dedicated security operations team. Overall, Salt is a powerful choice for organizations serious about securing their agentic AI initiatives, but it's not for everyone.
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Real-world workflow fit
Concrete scenarios for the personas Salt Security actually fits — and what changes day-one when you adopt it.
You need to understand what AI agents are doing across your environment and identify any risky behavior.
Outcome: Salt's Agentic Security Graph automatically discovers all agents, MCP servers, and APIs, giving you a complete inventory and risk context. You can see which agents have excessive permissions and take corrective action.
You want to enforce security policies directly inside AI coding agents to prevent insecure code generation.
Outcome: Salt Code integrates with your CI/CD pipeline to enforce security policies at the point of code generation, automatically blocking insecure patterns before they reach production.
You need real-time detection of behavioral attacks and anomalies in API traffic, including internal traffic.
Outcome: Salt's runtime protection detects anomalous behavior and blocks logic-based attacks, alerting your SIEM via integration with Sentinel or CrowdStrike, allowing rapid response.
Use Cases
- Discover and inventory all APIs including shadow APIs across cloud environments.
- Monitor AI agent behavior via MCP server logs and detect unauthorized actions.
- Block logic-based API attacks that bypass traditional WAF rules.
- Enforce compliance with HIPAA, GDPR, or PCI by tracking sensitive data in API traffic.
- Integrate API security alerts into existing SIEM (e.g., Sentinel, CrowdStrike).
- Reduce attack surface by identifying and remediating misconfigured or exposed APIs.
Limitations
- The platform is enterprise-focused with no public pricing or free trial, which may deter smaller teams.
- Its emphasis on agentic AI and MCP servers suggests it may be more than basic API security needs require.
- Onboarding likely requires professional services and organizational maturity.
- There is no mention of a public API.
as of 2026-08-28
Verification history
We have re-verified Salt Security 17 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 17 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Salt Security's pricing actually pencils out — and where peers do it cheaper.
Salt Security is positioned as an enterprise-grade solution with contact-only pricing. It's likely more expensive than point solutions like Noname Security or Akamai API Security, but offers broader agentic AI coverage. Best for large organizations with dedicated security budgets.
Setup time & first value
How long it actually takes to get something useful out of Salt Security — broken out by persona, not the marketing-page minute.
Setup complexity varies: basic API discovery can be done in days, but full agentic security may take weeks. Expect to work with Salt's professional services for enterprise deployment. Getting a free token for Salt Code is quick, but full platform onboarding requires planning.
Switching to or from Salt Security
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Postman or Swagger inventory: Export your API list and import into Salt for automatic discovery and risk assessment.
- →From manual API documentation: Salt can automatically discover and map all APIs, replacing manual tracking.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Salt Security
Common stack mates teams adopt alongside Salt Security, with the specific reason each pairing earns its keep.
Vorlon
Runtime data security for AI agents and SaaS apps — block, mask, and restrict in real time.
Veza
Identity security platform unifying access visibility, governance, and least privilege enforcement across hybrid cloud, SaaS, and AI agents
Cycode
Secure and govern AI-generated code from prompt to runtime with agentic development security.
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