Salt Security vs. Wallarm
Wallarm inspects payloads. AI agents don't send known attacks.
Wallarm built its platform around inline filtering nodes and payload inspection — ML-enhanced WAF protection that excels at blocking known attack patterns at the request level. That approach cannot detect how attackers or AI agents behave across multiple API interactions. Salt Security was built to do exactly that, correlating behavior across LLM connections, MCP servers, identities, and API sequences that no filtering node ever sees whole.
API Runtime Protection
Discovery, threat detection, blocking
MCP and Agentic Fabric Coverage
Beyond local node inspection
Agentic Security Graph
LLM, MCP, API, identity correlation
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What each platform was built to do
Payload blocking and behavioral correlation
protect against different threats
Salt Security: purpose-built agentic security
Behavioral correlation across the full agentic fabric
Salt Security operates entirely out-of-band. No filtering node, no inline deployment, no per-endpoint mitigation tuning. The Agentic Security Graph maps and correlates LLM connections, MCP servers, APIs, identities, and sensitive data across code, cloud, and runtime — detecting multi-step attacks that no single request inspection point can see.
- Zero latency — out-of-band, no filtering node in the path
- Agentic Security Graph across LLM, MCP, and API layers
- Identity-aware multi-step attack sequence detection
- No endpoint-scoped tuning required per logic risk
- MCP and API governance across code, cloud, and runtime — not local inspection
- Runtime-to-code remediation loop
- Salt Code governance in developer repositories pre-deployment
Wallarm: ML-Enhanced WAF and Inline Blocking
Filtering node-based threat detection and blocking
Wallarm deploys NGINX-based filtering nodes inline with API traffic. It applies ML models and signature matching to detect and block attacks at the request level, with endpoint-scoped mitigation controls tuned per logic risk. Their MCP coverage focuses on local node inspection of agent-connected traffic.
- Native inline blocking without routing to a separate WAF
- ML-based behavioral anomaly detection at request level
- API discovery and OWASP API Top 10 protection
- Filtering node required in the traffic path
- Endpoint-scoped mitigation controls require tuning per logic risk
- Complex initial configuration — noted consistently in real user reviews
- No Agentic Security Graph — no LLM, MCP, API sequence correlation
Head-to-head
The agentic capabilities
a filtering node can’t deliver
Wallarm blocks malicious requests at inspection points. Salt maps the full attack sequence. These are the capabilities that require fabric-level correlation, not per-request analysis.
| 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. | ||
| No Filtering Node Required | Delivers action-layer protection without routing traffic through a filtering node. | ||
| No Manual Mitigation-Control Scoping | Detects complex abuse without building endpoint-scoped mitigation controls for each logic risk. | ||
| Beyond Local Rogue MCP Audits | Governs MCP and API risk across code, cloud, external exposure, and runtime rather than focusing on local MCP inspection. |
Why it matters
AI agents were designed to look
like authorized users
Payload inspection finds what attackers no longer bother to hide
Wallarm's ML models and signature matching are excellent at detecting malicious payloads — injection strings, known attack patterns, anomalous request structures. But AI agents executing business logic abuse do not send malicious payloads. They send valid, authenticated API calls — just in sequences, at speeds, and across service combinations that reveal intent only when correlated.
Salt's Agentic Security Graph correlates LLM activity, MCP server connections, API sequences, identity behavior, and sensitive data flows across your entire environment. The attack becomes visible at the behavioral layer, not the payload layer. That is the difference a filtering node cannot close.
What Salt catches that Wallarm misses
- Multi-step business logic attacks composed entirely of valid, authenticated API calls
- Low-and-slow AI agent reconnaissance that never triggers per-request thresholds
- East-west agent actions on internal APIs that bypass every external filtering node
- Rogue MCP servers and shadow AI integrations created outside any traffic inspection path
- Risky API and MCP logic written into repositories before a single request is ever sent
Salt code
Security before any filtering node has traffic to inspect
Wallarm'’s protection activates when requests reach its filtering node. Salt Code governs API and MCP creation at the repository level — scanning pull requests for risky integrations and agentic exposures before they ship. Runtime findings feed back into developer workflows automatically, so teams fix vulnerabilities at the source instead of tuning mitigation controls to manage them indefinitely.
0
filtering nodes in
the request path
3
layers covered:
LLM, MCP, API
11
capabilities beyond
Wallarm’s model
100%
east-west and internal
API coverage
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