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Wallarm vs. Salt Security.

Wallarm runs a node that detects and blocks in the same engine — on-prem, in any cloud, or hybrid. Salt runs entirely out-of-band, with no filtering node in the traffic path.

Inline enforcement

Detection and blocking in one engine

Wallarm

✓ Yes

Salt

✕ No

Supported protocols

REST, gRPC, GraphQL & WebSocket

Wallarm

✓ Yes

Salt

✕ No

Every comparison below cites a public source. Where we have no public documentation, we say so.

See Wallarm In Action

At a glance

Eleven dimensions, each cited.

Each dimension is cited to public documentation. Claims about Salt on this page are cited from Salt's own public materials. We do not infer Salt limitations from silence.

✓

Supported

–

Partial or indirect

Not supported or not documented

Capability

Wallarm

Salt Security

Deployment architecture

✓

Wallarm

Self-hosted or managed node deployed on-prem, in any cloud, hybrid, or as Kubernetes ingress; out-of-band TCP mirror and eBPF modes also supported. [12][9]

–

Salt Security

Deploys out of band via API gateway integrations, containers, or traffic mirroring — its datasheet states "Salt does not deploy inline," with no agents or code changes required. [23][31][19]

API discovery

✓

Wallarm

Discovers APIs from live runtime traffic, external attack surface, and AWS cloud assets; external attack-surface scanning also flags exposed API credentials in public code repositories and paste sites. MCP servers are discovered with their tools, resources, and prompts, and rogue or shadow APIs are flagged in the inventory. [11][14][15][16]

–

Salt Security

Unified Agentic Discovery covers "external exposure, cloud, code repositories, and runtime." Salt's own page does not document external credential-leak scanning specifically. [19]

Runtime detection

✓

Wallarm

Wallarm was architected to sit inline with traffic and make decisions in real time. Libproton decodes and tokenizes each request instead of scanning raw text; libdetection additionally validates SQL injection before Wallarm acts, and vulnerabilities are detected passively from the same traffic. [1][13]

Salt Security

Salt's architecture is built on analyzing a copy of traffic, and isn't able to make determinations at runtime, only after the copy is analyzed. Salt states it "operates entirely out-of-band. No proxy in the request path." [33]

Inline enforcement

✓

Wallarm

The same node that detects also blocks inline, with no separate WAF required; out-of-band modes record malicious activity but do not block. [9][12]

–

Salt Security

Salt does not deploy inline. When Salt detects an attack, blocking is automated through integrated inline controls such as API gateways and firewalls. [23][27][19]

Behavioral analysis

✓

Wallarm

API Sessions group requests into user journeys; enumeration, BOLA, brute-force, and forced-browsing controls base analysis entirely on sessions. Sessions retain 7 days. [2][3][10]

–

Salt Security

Builds a behavioral baseline per API, keeps state across hundreds of attributes per entity, and correlates user activity over time; performs identity-aware multi-step sequence detection. [25][19]

Session blocking

✓

Wallarm

Wallarm allows users to configure session parameters and to actively block individual sessions without blocking a whole IP address. [34]

Salt Security

No documented offering.

Agentic AI protection

✓

Wallarm

AI payload inspection covers prompt injection and system-prompt retrieval; coverage maps to OWASP Top 10 for Agentic Applications (2026). [7][17]

Scope: deeper LLM topology and cross-hop user attribution live in Wallarm AI Hypervisor, which is available on AWS, deploys on Amazon EKS, and follows a separate onboarding flow from API Security. [8]

–

Salt Security

An Agentic Security Graph correlates LLMs, MCP servers, APIs, identities, and sensitive data — its technical brief describes four data sources: external exposure, infrastructure posture, code-level risk, and live runtime behavior. [30][19]

MCP coverage

✓

Wallarm

MCP sessions detected automatically; tools/list schemas learned in Wallarm Cloud and distributed to all nodes, with per-primitive ACLs and JWT scope verification. [5][6]

–

Salt Security

MCP Finder discovers MCP servers across three layers — external scanning, code discovery via GitHub, and runtime agent behavior — observing and enforcing behavior at the MCP layer. [28][29][19]

Supported protocols

✓

Wallarm

Coverage spans REST, gRPC, GraphQL, and WebSocket traffic. [22]

Salt Security

No documented offering.

API specification enforcement

✓

Wallarm

Uploaded OpenAPI specifications are compared against live traffic; requests that deviate — undocumented endpoints, unexpected parameters, wrong types — are flagged and can be blocked by the node in the same pass.

–

Salt Security

Compares observed traffic to documented specifications to surface drift and shadow or zombie endpoints as posture findings, with enforcement handed to existing gateways or WAFs.

Data path / residency

✓

Wallarm

Requests are inspected by the customer's own node, which can run inside the customer's data center, cloud account, or hybrid estate. [12]

–

Salt Security

Captures a copy of API traffic (e.g. AWS VPC traffic mirroring) for analysis in the Salt cloud. [24][31][19]

Architecture

How do Wallarm and Salt Security differ architecturally?

The difference is where enforcement happens. Wallarm deploys a node that inspects and blocks traffic in the same engine — on-prem, in any cloud, hybrid, or as Kubernetes ingress. Salt operates entirely out-of-band, with no filtering node and no inline deployment.

Wallarm

✓

Self-hosted nodes on-prem, in any cloud, hybrid, Kubernetes ingress, and a managed edge option. [12]

Out-of-band deployment is available via TCP traffic mirror and eBPF — Wallarm's docs are explicit that out-of-band records malicious activity but does not block it. We concede that precisely: a node is required, and in-path is required only for inline enforcement. [9]

✓

Because the node is self-hosted, internal east-west and private-datacenter APIs are in scope — a self-hosted node is not edge-only. [12][20]

Salt Security

–

Salt operates out of band — its own datasheet states Salt does not deploy inline. [23][31]

Salt blocks by leveraging "integrations with inline tools such as API gateways and firewalls," and supports manual or automatic blocking through the customer's cloud WAF. [27][26]

–

Salt claims runtime visibility into "internal traffic your perimeter tools never see," including service mesh and east/west paths. [29]

Detection

How do Wallarm and Salt detect API abuse?

Both analyze behavior across requests, not just single payloads. Wallarm groups requests into API Sessions that represent real user journeys, and its enumeration, BOLA, brute-force, and forced-browsing controls base their analysis entirely on those sessions. Salt correlates behavior across LLM connections, MCP servers, identities, and API sequences.

Wallarm

✓

API Sessions group requests into logical sessions that represent actual user journeys instead of analyzing requests in isolation. [2]

✓

Enumeration mitigation controls base their traffic analysis and corresponding actions entirely on API sessions, and session blocking acts on the whole session. [3][18]

✓

Named detectors for Persistent ATO (occurring gradually over an extended period), Low-frequency credential stuffing, and Excessive response consumption (aggregating across a session to catch slow-drip or distributed scraping). [4]

✓

On the payload layer, libproton decodes and tokenizes requests rather than scanning raw text, and libdetection validates SQL injection before Wallarm acts. [1]

–

Wallarm does not block malicious bots in real time. Attacks are blocked instantly; abuse is blocked once confidence is high enough not to break legitimate partner traffic. [4]

Salt Security

–

Builds an ML behavioral baseline per API and maintains state across hundreds of attributes per user or entity, correlating all user activity. [25]

–

Detects reconnaissance that unfolds over hours, days, or weeks, and business-logic abuse using valid credentials. [32][25]

–

Request-level payload decoding and tokenization aren't described in Salt's public material; its detection is framed as behavioral and correlation-based. [25][19]

Response

How do Wallarm and Salt respond to attacks?

Wallarm detects and blocks in the same engine, inline, with no other vendor's product in the loop, and can block a specific session rather than only an IP. Salt is deployed out of band; when it detects an attack, enforcement is automated through integrated inline controls such as WAFs, API gateways, and firewalls.

Wallarm

✓

The inline node applies enforcement at the point of inspection; response actions include session-level blocking, not only IP blocking. [18]

✓

Default mitigation controls for brute force, BOLA, generic enumeration, and forced browsing ship enabled for new tenants. [3]

✓

Out-of-band modes are for visibility, not enforcement — the docs list "instant blocking of malicious requests" as unsupported in OOB. [9]

Salt Security

Salt runs out of band and triggers enforcement through existing inline controls — AWS WAF and API Gateway are named as enforcement points. [23][27]

Blocking can be manual or automated by the customer's cloud WAF. [26]

Agents & MCP

How do Wallarm and Salt approach AI agents and MCP?

Both cover MCP, with different scope. Wallarm discovers MCP servers from live traffic, auto-detects MCP sessions, and learns tools/list schemas in Wallarm Cloud before distributing them to every node for schema and ACL enforcement. Salt governs MCP across code, cloud, external exposure, and runtime, correlating LLM, MCP, API, and identity data in an Agentic Security Graph.

Wallarm

✓

MCP servers are discovered into the API inventory with their tools, resources, and prompts, and the node automatically enables 100% response parsing for discovered MCP endpoints. [11]

✓

MCP sessions are detected automatically, with no manual configuration required, and agent-to-MCP call sequences are reconstructed. [5]

✓

API Discovery automatically captures tools/list responses, learns the expected schema, and distributes it to all nodes via the Wallarm Cloud. Schema learning is cloud-coordinated, with ACLs by user, role, IP, or country and JWT scope verification. [6]

✓

Coverage maps to the OWASP MCP Top 10 (2025), including MCP06 Intent Flow Subversion and MCP09 Shadow MCP Servers. [7]

–

Deeper LLM topology and cross-hop user attribution live in Wallarm AI Hypervisor, which is available on AWS, deploys on Amazon EKS, and follows a separate onboarding flow. Repository-level MCP governance is not documented. [8]

Salt Security

✓

Salt MCP Finder discovers MCP servers across three layers: external discovery, code discovery through GitHub, and runtime agent behavior mapping. [28]

✓

The Agentic Security Graph spans LLMs, MCP servers and APIs, combining external exposure, infrastructure posture, code-level risk, and live runtime behavior. [30][7]

✓

Salt Code governs API and MCP creation in repositories, pull requests, and developer workflows before deployment. [19]

–

Salt states it "observes and enforces behavior at the MCP layer" and detects chained agent actions where each step looks benign. [29]

Fit

Which platform fits which security architecture?

Choose based on where enforcement needs to live. If a change-controlled requirement forbids any in-path component, or the priority is governing API and MCP creation inside developer repositories, Salt fits that shape. If enforcement must happen in the request path — inside your own datacenter or cloud account, covering internal east-west APIs — Wallarm fits that shape.

Wallarm fits when

✓

Regulated estates need protection running inside their own walls — banking, payments, and fintech buyers who must show a regulator where inspection happens. [12][21]

✓

The requirement is to block, not just alert: detection and enforcement in one engine, one deployment, one console, with session-level blocking. [18][9]

✓

Internal east-west and private datacenter APIs never route through an external edge. [12][20]

✓

Wallarm API Security brings API discovery, API and web protection, abuse prevention, and MCP controls into one product. [22]

Salt fits when

✓

No inline component permitted. Runs out of band and drives enforcement through infrastructure customers already operate. [23][27]

✓

The top priority is pre-deployment governance in repositories and pull requests. [19][20]

✓

A single correlation graph spanning code, cloud, and runtime is the primary artifact the team wants. [19]

Claims & Responses

Addressing Salt Security's claims directly

The three strongest claims, each answered from public documentation.

Claim 01

Salt says

“Wallarm inspects payloads. AI agents don't send known attacks… That approach cannot detect how attackers or AI agents behave across multiple API interactions.”

Wallarm's response

Payload inspection is one Wallarm layer, not the whole platform. Wallarm API Sessions group requests into logical sessions that represent actual user journeys rather than analyzing requests in isolation, and enumeration, BOLA, brute-force, and forced-browsing controls base their traffic analysis and corresponding actions entirely on API sessions. Session blocking then acts on the whole session, not a single request. [2][3][18]

Claim 02

Salt says

“MCP and Agentic Fabric Coverage — beyond local node inspection → Wallarm: Local only,” and “their MCP coverage focuses on local node inspection of agent-connected traffic.”

Wallarm's response

Wallarm's MCP schema enforcement is cloud-coordinated, not node-local. API Discovery captures tools/list responses, learns the expected schema, and distributes it to all nodes via Wallarm Cloud; MCP sessions are detected automatically with no manual configuration. Coverage is mapped to the OWASP MCP Top 10 (2025), including Shadow MCP Servers and Intent Flow Subversion, which records the full sequence of MCP calls within a session. Deeper LLM topology insights are available in Wallarm AI Hypervisor, which deploys on Amazon EKS. [5][6][7][8]

Claim 03

Salt says

“Multi-step business logic attacks composed entirely of valid, authenticated API calls,” “low-and-slow AI agent reconnaissance that never triggers per-request thresholds,” and “east-west agent actions on internal APIs that bypass every external filter.”

Wallarm's response

Taking those in order — session-scoped BOLA, enumeration, and forced-browsing detection operate on valid, authenticated calls and count unique parameter values per session. For low-and-slow, Wallarm ships named detectors: Persistent ATO, Low-frequency credential stuffing, and Excessive response consumption, which aggregates across an entire session to catch slow-drip scraping. On east-west, a self-hosted Wallarm node is not an external filter — it deploys on-prem, in any cloud, hybrid, or as Kubernetes ingress. Salt claims east/west visibility of its own; the distinction is that Wallarm can enforce there, not only observe. The precise concession: BOLA is detected today, but completeness across every object-and-permission combination is still building, and BFLA is the harder gap. [3][4][10][12][22]

FAQ

Frequently asked questions

Does Salt Security block attacks inline?

Not itself. Salt's datasheet states "Salt does not deploy inline"; when Salt detects an attack, blocking is automated through integrated inline tools such as API gateways and firewalls, manually or automatically. [23][27][26]

Can Wallarm run without sitting in the traffic path?

Yes. Wallarm supports out-of-band deployment via TCP traffic mirror and eBPF. Wallarm's documentation is explicit that out-of-band mode records malicious activity but does not block it — inline deployment is required for instant blocking. [9]

Does Wallarm analyze behavior across multiple requests?

Yes. API Sessions group requests into logical sessions representing real user journeys, and enumeration, BOLA, brute-force, and forced-browsing controls base their analysis entirely on those sessions. Sessions are retained for seven days. [2][3][10]

How does Wallarm secure MCP servers and AI agents?

Wallarm discovers MCP servers with their tools, resources, and prompts, auto-detects MCP sessions, and learns tools/list schemas in Wallarm Cloud, distributing them to all nodes for schema validation, ACLs, and JWT scope checks. [5][6][11]

Sources