The Practical Answer: Choose the Security Job First

These products overlap, but the center of gravity is different. The best answer may be a shortlist of two comparable products or a layered architecture rather than one four-way winner.

Current Status of Salt, Onyx, Neosec, and 42Crunch

Why This Is an Asymmetric Comparison

• Salt and Akamai are the closest broad API-security comparison. Both address enterprise API discovery, posture, runtime analytics, testing or shift-left capabilities, response, and wider integrations.
• Onyx addresses the AI-agent control layer. It observes and governs agents, prompts, responses, tools, identities, and MCP access rather than treating every enterprise API as the primary object.
• 42Crunch begins with the API contract. Its strength is turning OpenAPI or GraphQL definitions into audit, scan, CI/CD, and runtime protection controls.
• The overlap is still meaningful. AI agents call APIs, contracts influence runtime enforcement, and broad API platforms increasingly include AI and testing capabilities.
• The evaluation must therefore begin with scope. A universal feature score can reward capabilities the customer does not need while hiding the layer that remains unprotected.

Salt Security vs Onyx vs Neosec (Akamai) vs 42Crunch Comparison

Vendor Profiles and Proof Questions

Salt Security

Salt’s current platform spans outside-in exposure, configuration-driven inventory, live traffic collection, posture governance, behavioral threat detection, blocking, and an expanding agentic-security graph. It is relevant when the customer wants one contextual view across APIs, MCP servers, agentic infrastructure, data, and downstream actions.

• Verify which assets are found by Surface, Connect, code integrations, and Collect.
• Measure reconciliation between external exposure, cloud and gateway configuration, and real runtime traffic.
• Test whether response data, identities, objects, tenants, and business outcomes support investigations.
• Verify exactly how Salt Protect blocks, where the decision is enforced, and how rollback works.
• When AI is in scope, test agents, MCP servers, tool access, APIs, data, and downstream action context.

Onyx Security

Onyx is an AI-agent control plane, not a conventional API-security vendor. It focuses on AI observability, agent identity, prompts, responses, sessions, tool calls, MCP servers, governance, orchestration, natural-language policy, and runtime enforcement.

• Validate discovery across SaaS agents, cloud platforms, endpoints, coding agents, custom frameworks, and MCP.
• Test whether each agent has a reliable identity, owner, lifecycle, permissions, tools, and session history.
• Verify runtime policy across prompts, responses, direct API calls, tool calls, gateways, and MCP servers.
• Measure how the platform handles prompt injection, data leakage, unsafe actions, privilege misuse, and policy drift.
• Do not assume that agent visibility equals complete discovery or protection of every non-AI API.

Neosec and Akamai API Security

Neosec became known for API detection and response based on data and behavioral analytics. Akamai acquired the company in 2023 and used that technology in its API Security offering. A current buyer should evaluate Akamai API Security rather than score Neosec as an independent vendor.

• Test platform-agnostic discovery across clouds, gateways, CDNs, north-south, and east-west traffic.
• Validate sensitive-data mapping, schema drift, business-flow visualization, ownership, and impact prioritization.
• Run the proposed API-specific dynamic tests with representative authentication and safe targets.
• Test runtime analytics for abuse, leakage, scraping, ATO, bots, and API-layer resource attacks.
• Verify response workflows through SIEM, SOAR, ITSM, WAF, and optional App & API Protector enforcement.

42Crunch

42Crunch is a contract-driven API security platform. Its current product covers API Security Audit, dynamic API Scan, IDE and CI/CD integrations, and API Protection through an API Firewall. OpenAPI 3.1 is supported across audit, scan, and protection, while GraphQL support continues to expand.

• Measure contract completeness, semantic correctness, security score, and developer remediation quality.
• Test authenticated API Scan against a safe representative implementation.
• Verify IDE, pull-request, CI/CD, exception, and retest workflows.
• Generate and deploy API Firewall protection and test contract enforcement, latency, failure behavior, and updates.
• Record protocol and feature differences, especially where GraphQL support varies across audit, scan, protection, and CI/CD.

Best-Fit Scenarios

How to Compare Discovery, Inventory, and Posture

Use API discovery, API schema drift detection, and API security vendor evaluation checklist to define the evidence.

How to Compare Runtime Analytics and Protection

Do not compare runtime products with a single attack replay. Use real identities, responses, business rules, and operational outcomes.

• Test public, partner, user, workload, service, and tenant identities.
• Include object, property, function, tenant, and business-workflow authorization scenarios.
• Observe successful and failed responses, returned fields, record counts, state changes, and downstream actions.
• Test low-and-slow enumeration, sequence abuse, scraping, token misuse, and resource consumption.
• Verify whether the platform observes, alerts, recommends, blocks, or delegates enforcement.
• Measure false positives on legitimate automation, partners, mobile applications, services, and AI agents.
• Test policy versions, approval, audit, latency, capacity, failover, bypass, and rollback.

For application-layer authorization, use BOLA and IDOR API security and API authorization vs. authentication.

How to Compare AI-Agent and MCP Security

Use AI agent API security risks when defining agent, tool, API, identity, and data scenarios.

How to Compare API Audit, Testing, and Shift-Left Controls

42Crunch should lead this section of the comparison because contract audit, scan, and protection are core product functions. Akamai also advertises automated API-specific tests. Use API security testing vs. runtime monitoring to prevent one control from being treated as a substitute for the other.

Architecture, Deployment, and Data Questions

Use API security architecture design and monitoring mode vs. inline mode for deployment acceptance.

Compare SOC, Investigation, and Remediation Workflows

Application, environment, API, endpoint, method, version, and owner
User, workload, agent, token, client, tenant, source, and session
Prompt, response, tool, MCP server, object, property, and workflow context
Expected contract, authorization, data, posture, or AI-governance rule
Request, action, sequence, rate, and selected evidence
Response status, fields, classifications, record count, and business outcome
Detection, audit, scan, policy, firewall, and enforcement decision
Related events, APIs, agents, sessions, definitions, and deployments
Evidence confidence, telemetry health, parsing, sampling, and blind spots
Recommended validation, containment, contract fix, implementation fix, or tuning
SIEM, case, ticket, build, and correlation identifiers

Test whether the platform sends enough context to the customer’s operational system without requiring analysts to reconstruct the event from several consoles. Use centralized SIEM log-forwarding formats, API security alert triage, and API security incident response.

Commercial Scope and Total Cost of Ownership

These products may use different licensing and infrastructure models. Do not compare proposal totals until the covered job is equivalent.

Use Different Proof-of-Value Tracks

Track A: Broad API security — Salt vs current Akamai API Security

1. Connect the same representative API sources and environments.
2. Measure inventory, ownership, sensitive data, drift, and blind spots.
3. Validate identity, request, response, object, tenant, behavior, and business outcome evidence.
4. Run customer-specific abuse, leakage, authorization, and resource scenarios.
5. Test SIEM, case, response, and optional blocking workflows.
6. Compare operational effort, data handling, deployment risk, and total cost.

Track B: Agentic security — Onyx vs Salt

1. Discover the same agents, AI applications, models, MCP servers, tools, APIs, and owners.
2. Map agent identity, invoker, autonomy, prompts, responses, tools, permissions, and data.
3. Test prompt injection, unsafe tool calls, data exfiltration, privilege misuse, policy drift, and destructive actions.
4. Compare agent-layer controls with downstream API and action-layer visibility.
5. Test policy authoring, approvals, runtime enforcement, audit, and rollback.

Track C: Contract-driven security — 42Crunch

1. Audit representative OpenAPI or GraphQL definitions and measure useful developer findings.
2. Run authenticated API Scan against a safe implementation.
3. Integrate IDE and CI/CD checks with ownership and exceptions.
4. Generate API Firewall protection and test permitted and rejected traffic.
5. Verify contract updates, policy regeneration, deployment, latency, failure behavior, and retest.

Use the API security proof-of-value guide and API security PoC checklist.

Weighted Scorecard for an Asymmetric Shortlist

Set weights only after defining which category is being purchased. Score from 0 to 5 using evidence from the customer environment.

The weights intentionally differ. A contract-security purchase should not be lost because it lacks broad behavioral analytics, and an AI-agent control plane should not win because it audits OpenAPI definitions better than a product built for that job.

When Combination Is Better Than Consolidation

Consolidate only after proving that the selected platform can replace the current control without losing coverage, safety, or operational value.

Final Decision Framework

API and AI Security Vendor Evaluation Checklist

Common Comparison Mistakes

Official Sources Used for the 2026 Update

• Salt Agentic Security Platform
• Salt Surface
• Salt Connect
• Salt Collect
• Salt Protect
• Onyx Secure AI Control Plane
• Onyx AI Observability
• Onyx AI Security
• Onyx AI Governance
• Akamai acquisition announcement for Neosec
• Current Akamai API Security platform
• 42Crunch API Security Platform overview
• 42Crunch API Security Audit
• 42Crunch API Scan
• 42Crunch OpenAPI 3.1 Protection update
• OWASP API Security Top 10 – 2023
• NIST SP 800-228 Update 1
• OpenAPI Specification 3.2.0

Final Recommendation

For a broad API-security shortlist, compare Salt Security with the current Akamai API Security platform rather than with a historical standalone Neosec offering. For AI-agent governance, compare Onyx and Salt carefully because they protect different but connected layers: Onyx centers agent identity, prompts, tools, policy, and runtime actions, while Salt centers the APIs, MCP servers, data infrastructure, and downstream action layer.

Choose 42Crunch when API contracts, developer feedback, dynamic scanning, and contract-driven runtime enforcement are primary requirements. It may complement rather than replace a broad behavioral API-security platform or an AI-agent control plane.

The best decision begins by separating the security jobs, then proving each product against representative assets, approved evidence, operational workflows, safe enforcement, and complete cost. Preserve the original search phrase for discoverability, but do not let the keyword force four unlike products into an inaccurate winner-takes-all ranking.

Frequently Asked Questions