Salt Security — Agentic AI security platform for APIs, agents, and MCP servers. Best for Securing AI agent workflows in finance, healthcare, and logistics, Enterprises needing unified visibility across LLMs, MCP servers, and APIs, Teams combating shadow APIs and behavioral API attacks. Contact Sales pricing.
Securing AI agent workflows in finance, healthcare, and logisticsEnterprises needing unified visibility across LLMs, MCP servers, and APIsTeams combating shadow APIs and behavioral API attacksCompliance-driven organizations requiring HIPAA or EU AI Act readinessSecurity teams managing agentic AI deployment at scale
Not ideal for
Small startups with limited security teams and budgetsOrganizations without active AI agent deploymentsTeams needing a lightweight, self-service API security toolProjects that require only model security without API contextCompanies looking for free or low-cost solutions beyond early access
A comprehensive agentic security platform that goes beyond model security to cover the full agentic stack. Ideal for enterprises needing deep API and agent visibility, but early-access pricing and complexity may deter smaller teams.
Salt Security stands out by addressing the emerging need to secure AI agents—not just the models behind them. Its Agentic Security Graph provides end-to-end visibility across LLMs, MCP servers, and APIs, which is crucial as enterprises deploy agents that act on internal and external APIs. The platform's posture management catches misconfigurations and excessive permissions, while runtime protection blocks active attacks like data exfiltration. This makes it a strong choice for organizations in regulated industries (finance, healthcare) where compliance and data protection are top priorities. However, the platform appears enterprise-focused, with contact-based pricing and early access for only 100 orgs, which may not suit smaller teams or startups. Compared to alternatives like Akto or Cequence, Salt offers broader agentic context but may require more integration effort. Real-world usage requires a dedicated security team to interpret the graph and respond to findings. For teams that need immediate, lightweight API security, simpler tools might be faster to deploy. Overall, Salt is best for large enterprises with existing AI agent deployments who need a unified security control plane.
Skip Salt Security if Skip Salt Security if you need a simple, self-serve API security tool with transparent pricing or if your organization does not run AI agents or MCP servers.
How likely is Salt Security to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
funding runway
60
website health
90
github activity
50
category mortality
70
wrapper dependency
100
hyperscaler overlap
80
About Salt Security
Salt Security provides an Agentic AI Security Platform that secures the entire agentic lifecycle—from agent deployment to every runtime action—by mapping, analyzing, and protecting agents, MCP servers, and APIs. Built for enterprise security teams managing AI workflows, the platform offers automatic discovery of shadow APIs, posture management for misconfigurations, and real-time runtime protection against behavioral attacks. Key features include the Agentic Security Graph that contextualizes risk across all components, Salt Code for enforcing policies inside AI coding agents, and integrations with CrowdStrike, AWS, Azure, and GitHub. Unlike solutions that only secure models or network perimeters, Salt focuses on the action layer where agents interact with APIs, making it suitable for finance, healthcare, and logistics companies. The platform is trusted by global enterprises and includes a free risk assessment with the Salt Code early access program for the first 100 organizations.
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Key Features
Agentic Security Graph maps agents, MCP servers, and APIs
Automatic discovery of shadow and zombie APIs
Posture management for misconfigurations
Real-time runtime protection against behavioral attacks
Salt Code enforces policies inside AI coding agents
Salt Surface maps external exposure
Salt Connect sees APIs in your cloud
Salt Collect analyzes live traffic data
Salt Protect blocks logic-based threats
Agentic discovery across enterprise environments
Risk assessment and agent context
Real-world workflow fit
Concrete scenarios for the personas Salt Security actually fits — and what changes day-one when you adopt it.
Enterprise Security Architect at a financial institution
You need to discover all internal and third-party APIs, including shadow APIs, and monitor AI agent actions via MCP servers.
Outcome: Deploy Salt Connect to cloud accounts, Salt Surface to map external exposure, and review the Agentic Security Graph to identify misconfigurations and unauthorized agent actions within a week.
DevOps Engineer at a SaaS company rolling out AI agents
You want to ensure agents only access permitted APIs and MCP servers, and block anomalous behavior at runtime.
Outcome: Integrate Salt with your Kong gateway and Azure, configure Salt Protect to block abnormal API calls from agents, and gain real-time alerts in CrowdStrike within two days.
Integrate API security alerts into existing SIEM (e.g., Sentinel, CrowdStrike).
Reduce attack surface by identifying and remediating misconfigured or exposed APIs.
Limitations
Pricing is contact-only with no public tiers, which may deter small teams. The platform's focus on agentic AI and MCP servers means it may be overkill for basic API security needs. No free trial is mentioned, and onboarding is likely enterprise-grade with professional services. Heavy emphasis on agentic security may require organizational maturity in managing AI agents.
What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.
•Professional services likely required for onboarding (not publicly priced)
•Overage costs for API traffic beyond licensed capacity (not publicly disclosed)
•Enterprise contract may require multi-year commitment
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's pricing is contact-only, typical for enterprise security suites. It competes with Akamai/Noname, Traceable, and Wallarm, but none offer the same agentic AI coverage. For smaller budgets, consider Cequence or open-source options like OWASP ZAP for basic API scanning.
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.
For initial API discovery via Salt Connect, expect a few hours to connect cloud accounts and gateways. Full agentic graph mapping and policy tuning may take 1–3 weeks with professional services. You can see the first API inventory scan results within hours.
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.
Migrating in
→From Akamai/Noname: Export API inventory via API or CSV import; Salt provides professional services for migration.
→From Wallarm: Export API specs and alert rules; Salt's onboarding team can map configurations to Salt Protect policies.
Migrating out
↗To Akamai/Noname: Export API inventory and policy rules; Noname provides migration documentation.
↗To Traceable: Use their API to import discovered APIs and alert configurations.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
•2026-04-22: Blog post highlights MCP server security risks following Anthropic vulnerability disclosure, reinforcing need for MCP monitoring.
•2026-03-18: Blog post 'Everyone Is Deploying AI Agents...' emphasizes agent action visibility through MCP servers and APIs.
