Salt Security vs. Noma Security
Noma Security covers one layer.
Agentic security requires three.
True agentic security spans the LLM, the MCP servers agents use as tools, and the APIs where agents act on data. Noma Security is built for the AI model layer. That leaves two thirds of your agentic attack surface unprotected.
LLM Layer
Model connections, prompt risk, AI supply chain
MCP Server Layer
Tool connections, server governance, east-west risk
API & Action Layer
Where agents execute, read, write, and move data
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What each platform covers
AI security and agentic security
are not the same thing
Salt Security: Agentic security
All three layers — LLM, MCP, and API
Salt Security covers the full agentic attack surface. The Agentic Security Graph continuously maps and correlates LLM connections, MCP servers, APIs, identities, and sensitive data across code, cloud, and runtime — so nothing agents touch is out of scope.
- LLM connections and AI supply chain
- MCP server discovery, governance, and monitoring
- Full API fabric — internal, external, shadow, third-party
- Behavioral detection across multi-step API sequences
- East-west and internal service coverage
- Runtime-to-code remediation loop
- Out-of-band — zero latency, no proxies
Noma Security: LLM security
Focuses on one layer — LLM
Noma Security is an LLM security platform. It discovers AI models and enforces guardrails at the model communication layer — blocking malicious prompts and rogue outputs before they execute.
- AI model and agent discovery
- Prompt injection and jailbreak protection
- AI posture and compliance management
- No coverage of the APIs agents act on
- No east-west or internal API visibility
- No behavioral detection across API sequences
- No traditional API fabric security
Head-to-head
The agentic security capabilities
Noma Security can’t deliver
Noma Security covers the AI model layer. Every capability below lives in the layers beyond it.
| Feature | Description |  |  |
|---|---|---|---|
| Unified Agentic Discovery | Discovers APIs, MCP servers, and AI-driven assets across external exposure, cloud, code repositories, and runtime. |  |  |
| Agentic Security Graph | Correlates LLMs, MCP servers, APIs, identities, and sensitive data in one action-layer context. | | |
| Salt Code Governance | Governs API and MCP creation in repositories, pull requests, and developer workflows before risky logic reaches production. | | |
| Runtime-to-Code Remediation | Feeds runtime findings back into DevOps workflows and AI coding assistants to fix root causes. | | |
| Agent-Aware Sequence Correlation | Tracks unique agentic identities and multi-step intent across sessions, tools, and services. | | |
| Behavioral Action-Layer Protection | Detects machine-speed business-logic abuse beyond signatures, schemas, or prompt filters. | | |
| Internal & East-West Coverage | Protects internal APIs and downstream service interactions that edge-only and model-only tools miss. | | |
| Action-Layer Data Security | Maps sensitive data in motion across APIs, MCP servers, and agent actions. | | |
| Full API Fabric Coverage | Secures traditional internal, external, and third-party APIs alongside agents, MCP servers, and AI assets. | | |
| API-Native Business Logic Protection | Detects abuse in the backing APIs and downstream services where agents act, not only in prompts, responses, tool calls, and agent communications. | | |
| External Agentic Attack Surface Discovery | Identifies internet-exposed APIs and MCP servers with adversary-style reconnaissance before they are abused. | | |
Why it matters
Agents don’t stop at the model.
Your security shouldn’t either.
Noma Security governs the model. Salt secures everything the model touches.
When an AI agent receives a permitted instruction and makes an API call, accesses a database, or triggers a downstream service, it has left the AI security perimeter. Noma Security's guardrails sit at the model and prompt layer. They have no visibility into what happens next across your API fabric.
Salt's Agentic Security Graph maps every LLM connection, MCP server, API endpoint, identity, and sensitive data interaction — and correlates them in real time. Attacks that look like authorized behavior at the model layer get caught as behavioral anomalies at the API layer. That is the difference between AI security and agentic security.
What Salt detects that Noma Security misses
- Agent-driven attacks and multi-step misuse across APIs — not just misconfigured prompts
- Shadow APIs, rogue MCP servers, and undocumented integrations outside any AI inventory
- East-west internal API traffic between microservices triggered by agent actions
- Data exfiltration and business logic abuse at machine speed — before impact
- Risky API and MCP logic introduced in developer repos before it ships to production
Salt code
Security before any agent makes its first call
Salt Code extends agentic security into developer workflows — scanning repositories and pull requests for risky AI integrations, shadow APIs, and MCP servers before they reach production. Runtime intelligence feeds back into code automatically, closing the loop between what agents call and what gets fixed at the source.
3
layers covered:
LLM, MCP, API
11
capabilities beyond
Noma Security's scope
0
added latency —
fully out-of-band
100%
east-west and
internal API coverage
Want to see the Salt platform in action?
Learn how Salt Security's leading API security platform can provide complete Posture Governance and API Behavioral Threat Protection.