Updated
September 10, 2026
Salt detects API threats but relies on third-party WAFs to block them and provides no native DDoS or web protection. Harness WAAP unifies WAF, API security, bot defense, L7 DDoS, and AI Security in one platform — independently validated by SecureIQLab at 99.28% efficacy.
Feature Comparison
| Feature | Harness | Salt Security |
|---|---|---|
| Platform & Deployment | ||
| SaaS offering | ||
| On-premises / self-hosted deployment | Full on-prem deployment supported | SaaS-centric; on-prem options limited |
| Edge deployment (DNS / CDN) | Route via DNS or deploy behind a CDN; Harness global POP network available | No edge POP network for managed protection |
| Inline deployment (API gateway, NGINX, Kong) | Inline agents in API gateways, load balancers, sidecars | Salt deploys out-of-band; inline blocking is delegated to third-party WAF/gateway |
| Out-of-band / traffic mirroring | Primary deployment model | |
| eBPF kernel-level visibility | eBPF agent for K8s and VM deployments; FIPS-compliant images available | "Panoramic Discovery with eBPF" for visibility in encrypted environments |
| Sidecar / language agents | Lightweight language agents and Kubernetes sidecars | Not a documented deployment model |
| Kubernetes-native deployment | Helm chart, eBPF daemonset, Harness CD pipeline integration | Possible via traffic mirroring; no first-class K8s install |
| Hybrid / multi-cloud deployment | Primarily SaaS; full hybrid scenarios require integrations | |
| FIPS-compliant agent option | FIPS-enabled eBPF agent image | Public documentation does not detail FIPS compliance |
| API Discovery & Posture Management | ||
| Continuous API discovery from live traffic | ||
| Shadow and zombie API discovery | ||
| Internal (east-west) API discovery | eBPF, sidecars, and language agents observe internal calls | Edge-centric mirroring may miss internal-only traffic; eBPF helps but is newer |
| OpenAPI / Swagger spec generation | Auto-generates OpenAPI spec from observed traffic | |
| API spec conformance / API Inspector | API Inspector evaluates uploaded specs against security checks | Posture engine compares specs to standards |
| Sensitive data classification (PII / PHI / PCI) | Built-in and user-defined datatypes; sensitive data flow mapping | |
| Posture policy hub / governance engine | Salt's positioning strength; ~100 pre-loaded posture templates | |
| Compliance mapping (PCI DSS, HIPAA, GDPR, SOC 2, NIST, FedRAMP) | ||
| Forensic threat hunting | Traceable Data Lake stores deep historical transaction data for root-cause analysis and slow-leak detection | Autonomous Threat Hunting (Aug 2025) on the AI Intent Engine; operates over metadata and behavioral signals, not full payloads |
| Deep transaction data lake (full historical records) | Stores deep historical transaction data over long periods | Salt stores metadata, not full payloads; no evidence of a full-transaction data lake |
| Third-party API / domain monitoring | Third-party tab tracks sensitive data through external domains | |
| API Security Testing (Shift-Left) | ||
| Pre-production API security testing | Contextual fuzzing and replay testing from real or replayed traffic | Attack simulation against learned API specs |
| OWASP API Top 10 coverage | ||
| CI/CD pipeline integration | Native integration with Harness CI and any CI/CD via APIs | |
| API design analysis (OAS / Swagger) | API Inspector and Conformance Analysis | |
| API drift / spec divergence analysis | Compares observed traffic to declared specs | |
| Native CI/CD platform ownership | Harness owns the surrounding CI/CD platform | Salt has no CI/CD platform of its own |
| Continuous testing of active APIs only | Replay-based testing tied to real traffic to reduce false positives | Testing tied to learned API spec, not necessarily live activity |
| API Runtime Protection | ||
| OWASP API Top 10 runtime protection | Detection native; blocking requires third-party WAF/gateway | |
| Native inline blocking | Inline agents enforce at gateway, sidecar, or edge | Salt explicitly deploys out-of-band; inline enforcement via integration |
| Business logic abuse detection | Behavioral analysis over user, API, and session lifecycle | |
| Account takeover (ATO) protection | Native session analysis and blocking | Detection; blocking via WAF integration |
| Sensitive data exfiltration detection | ||
| Attacker fingerprinting / session attribution | ||
| Zero-day / novel attack detection | Behavior-based anomaly detection | |
| Web Application Protection (WAF) | ||
| Native WAF / OWASP Top 10 protection | Native WAF covers SQLi, XSS, RCE, SSRF, and the broader OWASP Top 10 | Salt is not a WAF; AWS WAF Ready Partner pattern is to pair with a WAF |
| Customizable rule engine | No native WAF rule engine | |
| Virtual patching | ||
| Detect-and-block modes | Detection only; blocking requires external WAF | |
| TLS termination / inspection | Via mirrored traffic or third-party gateway | |
| API-aware WAF context | WAF inspection is enriched with API context (call sequence, data flows) | |
| Bot Defense & Layer 7 DDoS | ||
| Bot detection (good vs malicious bot classification) | ML-based behavioral session analysis | Detection capabilities |
| Native bot blocking / rate limiting | Inline enforcement in agents, gateways, and edge | Blocking requires WAF integration (per Salt documentation) |
| Credential stuffing protection | Detection; blocking via WAF | |
| Web scraping protection | Detection; blocking via WAF | |
| Layer 7 DDoS mitigation | Native L7 DDoS defense validated by SecureIQLab | Salt: "We here at Salt do not claim that our platform is a DDoS protection solution" |
| Low-rate-per-bot detection | Strength of Salt's anomaly detection | |
| AI Security — Discovery | ||
| LLM connection discovery | Discovers LLM endpoints and model interactions | Maps LLM connections in Agentic Security Graph |
| MCP server discovery | Discovers MCP servers exposed via APIs | Salt MCP Finder, Nov 2025 release |
| MCP tool discovery (tools/prompts/resources) | Inventories MCP tools and resources | MCP server-level discovery; tool-level inventory less prominent |
| AI model provider discovery (OpenAI, Anthropic, Google) | Detects calls to third-party GenAI services | |
| Shadow AI detection | ||
| AI asset inventory (first- and third-party) | Up-to-date inventory across both | |
| Sensitive data in prompts / AI calls | Identifies regulated data sent to external models | |
| Agentic data flow mapping | Maps LLM → MCP → tool → API chains | Agentic Security Graph |
| AI Security — Testing (Shift-Left) | ||
| OWASP Top 10 for LLM Applications testing | Tests against LLM01–LLM10 risks | Public materials describe runtime detection, not pre-prod AI testing |
| Prompt injection testing (LLM01) | Active pre-production testing | |
| Sensitive information disclosure testing (LLM02) | ||
| System prompt leakage testing (LLM07) | ||
| Excessive agency testing | Tests AI agent permissions and scope | |
| AI testing in CI/CD pipelines | Native in Harness CI; integrates with any CI/CD | No CI/CD AI testing in public materials |
| Input and output validation testing | Validates both prompt inputs and AI-generated outputs | |
| AI Security — Protection (Runtime) | ||
| Runtime prompt injection blocking | Inline detection and blocking before requests reach LLMs | Anomaly detection (AG-DR); blocking via integrations |
| AI response inspection (data leakage prevention) | Inspects LLM outputs for sensitive data leakage | Detection-focused |
| Excessive agency prevention | Blocks unauthorized AI agent actions | AG-DR detects, with WAF/gateway enforcement |
| AI behavioral baseline / anomaly detection | Strength of Salt's behavioral approach | |
| MCP-level inline policy enforcement | Inline agents can enforce at the MCP boundary | Policy detection; enforcement via integrations |
| Real-time blocking of AI-specific attacks | Detection without native inline blocking | |
| Traceable MCP Server (for your AI assistants) | Read-only, role-scoped MCP server lets your agents query API security data | Salt focus is on discovering/securing your MCPs, not exposing one for your own AI |
| DevSecOps Integration | ||
| Owns CI/CD platform | Harness CI, Harness CD | Salt is standalone |
| Owns IDP / Developer Portal | Harness Internal Developer Portal | |
| Native security-in-pipeline workflow | Vulnerabilities flow back into the same pipeline | CI/CD integration via APIs only |
| GitOps integration | Integrates with Git-based VCS for spec sync | |
| Ticketing integrations (Jira, ServiceNow) | ||
| SIEM integrations (Splunk, Sentinel, etc.) | ||
| WAF / API gateway integrations | Core to Salt's enforcement model | |
| Slack / Teams notifications | ||
| Compliance & AI Regulation Readiness | ||
| PCI DSS 4.0 API inventory requirements | ||
| HIPAA / PHI controls | ||
| GDPR / data privacy | ||
| SOC 2 / ISO 27001 reporting | ||
| FedRAMP-aligned posture | ||
| EU AI Act readiness (AI inventory) | Maintains AI asset inventory and risk assessment | Agentic Security Graph supports inventory |
| ISO 42001 AI management readiness | Public materials less specific | |
| Independent efficacy validation | SecureIQLab 2025 Leader (99.28% Security Efficacy) | Gartner Peer Insights visibility, but no equivalent independent efficacy report |
Key Differentiators
Why teams choose Harness WAAP over Salt Security
A unified WAAP, not an API security tool that needs a WAAP to block
Harness WAAP by Traceable is a true unified Web Application and API Protection platform — WAF, API discovery, API testing, API protection, bot defense, and Layer 7 DDoS mitigation are all native capabilities in one product. It deploys inline as well as out-of-band, depending on your architecture, so you can both detect and block in the same platform without bolting on three more vendors. Independent testing by SecureIQLab in 2025 ranked Traceable by Harness as a Leader, with one of the top efficacy scores across 11 enterprise WAAP vendors.
Salt is an API observation and posture platform that deploys out-of-band, mirroring traffic for analysis. Salt's own materials state plainly: "We here at Salt do not claim that our platform is a DDoS protection solution," and Salt's solution brief describes inline blocking as something accomplished by sending enforcement commands to your existing inline devices — AWS WAF, Azure WAF, Apigee, and similar. Independent reviews on Gartner Peer Insights flag the same gap, citing "limited inline enforcement options without integrations." Bot mitigation follows the same pattern: Salt detects, your WAF blocks. The practical effect is that running Salt requires a separate WAF, DDoS service, and bot management product to actually stop attacks at the request path.
Deployment flexibility that matches any architecture
Harness WAAP supports four deployment models in one product so you can place protection wherever your architecture requires it: edge (DNS routing or behind your CDN, including Harness's global POP network for fully managed agentless protection), inline (API gateways like Kong and NGINX, sidecars, language agents), out-of-band (traffic mirroring), and kernel-level eBPF for code-free deep visibility. Hybrid, on-prem, multi-cloud, and Kubernetes environments are first-class — not exceptions.
Salt's primary deployment is out-of-band traffic mirroring from VPCs, API gateways, or load balancers. Salt has added eBPF-based discovery (Panoramic Discovery with Salt Surface) for encrypted environments, but the operating model remains observation-and-integrate. Customers in regulated or data-residency-sensitive environments raise concerns about ingesting full API traffic into a SaaS data lake.
AI Security as a full lifecycle, not just discovery + detection
Harness AI Security spins out three distinct capabilities built directly on the API security platform: AI Discovery identifies LLMs, MCP servers, MCP tools, AI model providers, and unauthorized calls to third-party GenAI services (OpenAI, Anthropic, Google) so you can see Shadow AI as it appears. AI Testing integrates into CI/CD to test AI components against the OWASP Top 10 for LLM Applications — prompt injection (LLM01), sensitive information disclosure (LLM02), system prompt leakage (LLM07), excessive agency, and more — before deployment. AI Protection runs in production to block prompt injection attempts, prevent sensitive data leakage in AI responses, and stop excessive agency where AI agents attempt unauthorized actions. The Traceable MCP Server also lets your own AI assistants query API security data securely through Model Context Protocol with read-only, role-scoped access.
Salt's Agentic Security Platform, launched March 2026, introduces two AI capabilities: Agentic Security Posture Management (AG-SPM) for discovery and governance of LLM connections, MCP servers, and APIs, and Agentic Detection and Response (AG-DR) for runtime anomaly detection. Salt's "Agentic Security Graph" maps the LLM-to-MCP-to-API chain. Salt MCP Finder (Nov 2025) provides dedicated MCP server discovery. What is conspicuously absent from Salt's public materials is shift-left AI security testing — testing AI components for OWASP LLM Top 10 risks like prompt injection, system prompt leakage, or excessive agency before they reach production — and runtime prompt-injection blocking at the LLM input layer.
Unified DevSecOps platform, not a standalone bolt-on
Harness WAAP is part of the broader Harness AI-Native DevSecOps Platform. The same control plane that ships your code through CI/CD, enforces policy-as-code, manages feature flags, and observes deployments now also discovers, tests, and protects your APIs and AI components. A vulnerability found in production by AI Protection or API runtime protection can be opened as a Jira ticket, traced to the offending service in Harness CD, blocked at the API gateway via inline agent, and pushed back into the next pipeline run as a security test — without leaving the platform.
Salt is a focused, standalone API security product. It integrates with CI/CD systems for pre-production scanning and with SIEM/ticketing tools for incident workflow, but it does not own any part of the software delivery pipeline. Closing the loop between an attack detected at runtime and a fix shipped through CI/CD still requires multiple vendors and manual coordination.
Decision Guide
Salt Security is good for
- You already have a strong WAF, DDoS, and bot management stack and only need to add focused API observation and posture governance on top
- Your priority is limited to API posture governance with policy templates mapped to PCI DSS, HIPAA, GDPR, and SOC 2, and you can accept that enforcement happens through your existing inline tools
- You are early in your API security maturity model and primarily need out-of-band visibility with low risk of impacting production traffic
- You do not yet need shift-left AI security testing or runtime prompt-injection blocking and are comfortable starting with discovery and detection of AI/MCP assets
Harness is best for
- You need WAF, API security, bot defense, and L7 DDoS protection in one product, not three or four — and you want native inline blocking, not "detect here, block over there"
- You're securing AI-native applications and need to discover, test, and protect MCP servers, agentic tool chains, and LLM endpoints — including blocking prompt injection at runtime and shifting AI testing into CI/CD
- Your architecture requires multiple deployment models — edge via CDN, inline at API gateways, sidecars in Kubernetes, kernel-level eBPF, or air-gapped on-prem — and a single product to span all of them
- You value independent efficacy validation (SecureIQLab 2025 Leader) and want a vendor whose technical documentation is publicly accessible
- You are consolidating onto a unified DevSecOps platform where CI/CD, runtime protection, and security testing share a control plane
Summary
The fastest way to tell a real WAAP from an API security tool is to ask where the block actually happens.
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