If you search for Salt Security vs Noname Security vs Akto vs Signal Sciences, you are really comparing four different security approaches. The names also need updating: Noname Security is now part of Akamai API Security, and Signal Sciences technology is delivered through Fastly Next-Gen WAF.
The simple answer is that none of these products is “best” for every company. Salt now leans strongly into API and agentic-security context. Akamai offers a broad API lifecycle platform with discovery, posture, runtime analysis, testing, and tighter links to its application-security portfolio. Akto is testing-led but has expanded into discovery and runtime protection. Fastly is the most WAF/WAAP-centered option and is strongest when active request-path protection is the main job.
Quick Answer: Which One Should You Shortlist?
| If your main priority is… | Start with… | Why |
|---|---|---|
| API discovery, behavioral context, and agentic AI relationships | Salt Security | Salt’s current platform centers on API visibility plus the relationships among APIs, identities, agents, LLMs, and MCP servers. |
| Broad API lifecycle security inside a larger enterprise security estate | Akamai API Security | Akamai combines discovery, posture, runtime analysis, Active Testing, code-to-runtime context, and integrations with its application-protection portfolio. |
| Continuous API security testing and developer workflows | Akto | Akto remains the most testing-led option here, with 1,000+ documented tests, CI/CD use cases, discovery, and newer runtime protection. |
| Inline WAF/WAAP enforcement, bots, rate limiting, and API abuse controls | Fastly Next-Gen WAF | Fastly is designed around active application and API protection in the request path, with edge and on-prem deployment options. |
Do not stop at this table. The products overlap. The right shortlist depends on where your traffic runs, whether you need pre-production testing, how much response data you can collect, whether inline blocking is required, and who will operate the platform every day.
First, Use the Current Product Names
Old names still rank in search engines, but procurement decisions should use the products that actually exist today.
| Common search term | Current 2026 buying context | What to verify |
|---|---|---|
| Salt Security | Salt positions itself around API security plus agentic security across APIs, LLMs, agents, and MCP servers. | Which discovery, posture, runtime, code, cloud, and agentic-security modules are included in your quote? |
| Noname Security | Akamai completed the Noname acquisition in June 2024. The current product is Akamai API Security. | Current packaging, Active Testing, Security Posture Center, code-to-runtime mapping, non-Akamai traffic coverage, and enforcement options. |
| Akto | Akto now markets discovery, API testing, posture, runtime threat protection, and agentic-security capabilities. | Testing depth, traffic connectors, runtime blocking, evidence quality, enterprise administration, and data handling. |
| Signal Sciences | Signal Sciences technology is delivered through Fastly Next-Gen WAF. | Exact WAF package, edge/on-prem deployment, API protocol support, bot and rate-limit controls, API visibility, and data retention. |
What Changed in 2026?
This comparison is materially different from a 2024 or 2025 comparison because all four product lines have moved.
- Salt: in March 2026 Salt launched its Agentic Security Platform, extending its story beyond traditional API security into the graph of agents, LLMs, MCP servers, and APIs. In June it announced Salt Code for policy enforcement around AI-generated code.
- Akamai: in May 2026 Akamai introduced Security Posture Center and stronger APIs-from-code capabilities designed to connect live API risk with source-code ownership and remediation.
- Akto: 2026 releases added more evidence around API findings, AI-powered discovery/crawling, and expanded agentic-security guardrails. Its current platform still puts automated API testing at the center.
- Fastly: Next-Gen WAF remains a WAF/WAAP-led product. Fastly’s current API security stack also highlights DDoS protection, bot management, edge rate limiting, and API-focused controls.
This matters because older comparison pages often describe Salt as API-only, Noname as a standalone company, Akto as testing-only, and Signal Sciences as a separate vendor. Those labels are no longer accurate enough for a 2026 buying decision.
Useful 2026 API Security Data
A good vendor comparison should explain why these capabilities matter. One useful current data point comes from Akamai’s 2026 API Security Impact Study, which surveyed 1,840 security professionals across six industries and ten countries. Akamai reports that 87% of respondents experienced at least one API-related security incident in the prior 12 months. The study also reports a global median API inventory above 5,900, while the top quartile exceeded 29,400 APIs.
The same vendor-sponsored study says only 23% of organizations know which APIs return sensitive data and only 16% fully integrate API security testing into development pipelines. These numbers should not be treated as independent market benchmarks, but they are useful signals for a proof of value: inventory completeness, sensitive-data visibility, and testing coverage deserve measurable acceptance criteria.
What Each Vendor Is Really Selling in 2026
Salt Security: API + agentic context
Salt’s current platform is built around visibility and context. Its public materials emphasize discovering APIs and agentic assets, understanding posture, and using runtime behavior to show how APIs, identities, LLMs, MCP servers, and agents connect. For enterprises adopting AI agents, that relationship map can be more useful than treating every API request as an isolated event.
Test in the PoV: shadow API discovery, east-west visibility, identity context, multi-step business actions, sensitive-data awareness, runtime timelines, AI/MCP relationships, retention, and how findings are pushed to the SOC and developers.
Akamai API Security: broad lifecycle platform after Noname
Akamai now describes API Security as a code-to-runtime platform that discovers APIs across traffic, code, specifications, and connected infrastructure. Current materials also cover shadow, zombie, unmanaged, MCP, and AI-linked APIs. Active Testing adds automated API security testing, while 2026 additions such as Security Posture Center and code-to-runtime mapping aim to make remediation and ownership clearer.
Test in the PoV: coverage of traffic that does not use Akamai, Active Testing safety and authentication, code ownership mapping, posture dashboards, runtime incident context, and how API Security works with App & API Protector when blocking is required.
Akto: testing-first, now broader
Akto’s platform still makes automated API testing a major differentiator. Its public documentation states that the testing engine includes more than 1,000 pre-built tests and supports custom testing and CI/CD workflows. But Akto is no longer just a testing product: it also documents API discovery, sensitive-data visibility, posture functions, and real-time threat detection and blocking.
Test in the PoV: authenticated testing, BOLA/authorization depth, test safety, false positives, evidence quality, custom test creation, traffic connector coverage, runtime detection, blocking, scaling, and how developers retest fixes.
Fastly Next-Gen WAF: active app and API protection
Fastly’s center of gravity is different. Next-Gen WAF is an active web application and API protection product. Current Fastly materials highlight API abuse protection, malicious bots, account takeover, DDoS-related protection, rate limiting, and support for REST, SOAP, gRPC, WebSockets, and GraphQL. It can run at the edge or in customer environments.
Test in the PoV: inline detection and blocking accuracy, bot and rate-limit controls, GraphQL/gRPC coverage, latency, failover, policy rollback, virtual patching, request and response visibility, and whether you need a separate product for deeper inventory, testing, or business-logic analysis.
Salt vs Akamai API Security vs Akto vs Fastly: Side-by-Side
The table below compares current public emphasis. It intentionally avoids simple “yes/no” checkmarks because a feature name does not prove depth.
| Evaluation area | Salt Security | Akamai API Security | Akto | Fastly Next-Gen WAF |
|---|---|---|---|---|
| Center of gravity | API + agentic discovery, posture, behavioral context | Full-lifecycle API visibility, posture, testing, runtime analysis | Continuous API testing plus discovery and runtime protection | WAF/WAAP-led application and API enforcement |
| API discovery | Major platform pillar; verify sources and internal coverage | Traffic, code, specifications, connected infrastructure | Traffic-based inventory plus crawler/testing workflows | API visibility tied closely to protected traffic; verify deeper inventory needs |
| Pre-production testing | Validate exact code/testing scope in proposed package | Active Testing with automated and CI/CD use cases | Core strength; 1,000+ documented pre-built tests | Not the primary center of gravity; validate separately |
| Runtime behavior | Behavioral analysis and relationship context are central | Runtime behavior and business-logic abuse analysis | Threat detection and protection available; validate maturity at your scale | Strong request-path signals and active app/API protection |
| Inline enforcement | Clarify native and integrated response options | Often evaluated with Akamai App & API Protector for inline enforcement | Documents real-time blocking for supported traffic connectors | Primary strength; built for active request-path enforcement |
| AI / agent / MCP focus | Very prominent in 2026 platform strategy | Current product covers AI-linked, LLM, GenAI, and MCP-related APIs | Agentic AI testing and guardrails are active product areas | Security platform now discusses agentic traffic, but core strength remains WAAP controls |
| Best proof question | Can it explain a multi-step API or agent action in business context? | Can it connect code, inventory, testing, runtime risk, owner, and remediation? | Can it safely reproduce real authorization/business-logic flaws and prove the fix? | Can it block real API abuse with low operational friction and safe failure behavior? |
Best Fit by Use Case
Choose Salt first when context is the main problem
Salt is a logical first shortlist when the biggest challenge is understanding a large and changing API estate, linking behavior across identities and services, or adding agentic AI relationships to the same security view. That does not mean it automatically wins testing or inline enforcement.
Choose Akamai first when you want a broad enterprise stack
Akamai is especially relevant for organizations already using Akamai for application delivery or security. API Security can add discovery, testing, posture, runtime context, and code-to-runtime ownership while App & API Protector provides inline controls. Verify commercial packaging so you know which capability lives in which product.
Choose Akto first when testing is the lead requirement
Akto is a natural starting point when AppSec or DevSecOps wants continuous API testing, broad test templates, CI/CD integration, and developer-ready evidence. The PoV should also test its discovery and runtime features instead of assuming those are equivalent to a mature dedicated runtime platform.
Choose Fastly first when inline protection is the urgent need
Fastly is a strong candidate when the project begins with WAF modernization, malicious automation, account takeover, rate limiting, DDoS-related application protection, or API abuse in the request path. If your program also needs deep API testing or inventory reconciliation, include those as separate acceptance criteria.
For mixed cloud and internal APIs, make every vendor prove coverage
Do not accept “hybrid” as an answer. Test public APIs, internal APIs, Kubernetes traffic, partner APIs, mobile backends, GraphQL, gRPC, administrative endpoints, and APIs that bypass the preferred gateway or edge. Coverage gaps are often more important than feature gaps.
Architecture, Resilience, and Data Governance
Before you compare dashboards, compare how the products see traffic and what happens when something fails.
| Area | Ask this question | Require this evidence |
|---|---|---|
| Traffic collection | Mirror, gateway, eBPF, agent, sidecar, cloud log, repository, edge, or inline? | A real diagram for every traffic path in scope. |
| Coverage | What APIs are missed if traffic bypasses the expected collector or edge? | Inventory reconciliation against DNS, cloud, ingress, service catalogs, and specs. |
| Encrypted traffic | Where is TLS terminated and what payload fields can the platform actually inspect? | A documented path from client to API plus encryption boundaries. |
| Performance | What overhead is added in your deployment model? | Peak-load measurements in your environment, not a generic benchmark. |
| Failure behavior | What happens if the SaaS, collector, agent, policy service, or network path fails? | Failover, bypass, recovery, upgrade, and rollback tests. |
| Sensitive data | Which request and response fields leave the environment? | Masking, exclusion, encryption, retention, and support-access controls. |
| Residency | Where is data processed and stored? | Contractual region, retention, deletion, backup, and subprocessor terms. |
| Operations | Who tunes, approves blocking, handles exceptions, and owns remediation? | RACI, runbooks, RBAC, audit logs, and escalation process. |
For architecture planning, also compare the role of an API gateway vs reverse proxy. Your API security product should complement the traffic path instead of creating a fragile new dependency.
A Practical 100-Point API Security Vendor Scorecard
Weight the scorecard before the demo. Otherwise teams tend to give extra value to whatever looks best on screen.
| Category | Weight | What good looks like |
|---|---|---|
| Inventory and attack-surface accuracy | 15 | Finds known, shadow, zombie, internal, partner, and AI-linked APIs with low duplication. |
| Posture and sensitive-data context | 10 | Shows authentication, exposure, schema, sensitive data, ownership, and policy issues that teams can fix. |
| API security testing | 15 | Safe authenticated tests, authorization/business-logic depth, CI/CD, retesting, and clear evidence. |
| Runtime detection and investigation | 15 | Useful behavioral context, sequence awareness, low noise, and evidence for SOC investigation. |
| Enforcement and response | 10 | Safe blocking or response integration with approvals, exceptions, rollback, and resilience. |
| Architecture and traffic coverage | 10 | Works across your cloud, on-prem, Kubernetes, gateway, edge, and east-west traffic patterns. |
| Data governance and privacy | 8 | Strong masking, access control, residency, retention, deletion, and auditability. |
| Developer and SOC workflow | 7 | Good Jira/SIEM/SOAR/CI integrations, evidence, ownership, and low manual translation. |
| Administration and scale | 5 | RBAC, multi-team separation, automation, API access, reporting, and manageable upgrades. |
| Commercial model and exit plan | 5 | Predictable licensing, growth assumptions, exportability, support terms, and no hidden dependency surprises. |
| Total | 100 | Score only what was proven with agreed evidence. |
Run a Proof of Value That Produces a Real Decision
1. Define ten to twenty representative APIs
Use public, internal, partner, mobile, administrative, and machine-to-machine APIs. Include at least one legacy service and one modern service. If AI agents or MCP servers are in scope, include them too.
2. Measure inventory before you test security
Create a known-good list from gateways, DNS, cloud resources, specifications, service catalogs, and application owners. Then measure true positives, missed APIs, duplicates, ownership mapping, and sensitive-data classification.
3. Test real authorization and business logic
Include BOLA/IDOR, broken function-level authorization, authentication failures, mass assignment/property authorization, unrestricted resource use, business-flow abuse, and unsafe third-party/API consumption. Use non-destructive accounts and clear test windows.
4. Generate realistic runtime abuse
Replay or simulate valid-looking malicious sequences, credential misuse, scraping, automation, unusual data access, and low-and-slow abuse. Measure detection time, evidence quality, false positives, and whether analysts can explain what happened.
5. Test enforcement safely
Where blocking is in scope, test monitor-only mode first. Then test staged enforcement, exceptions, rollback, policy mistakes, failover, latency, and recovery. A block is useful only if the team can operate it safely.
6. Measure time to verified value
Track hours to deploy, time to first useful inventory, time to first verified finding, analyst time per incident, developer time to reproduce a finding, false-positive rate, and recurring administration effort. These numbers often matter more than the number of dashboard widgets.
Use Current Standards as the Neutral Baseline
OWASP API Security Top 10 2023 remains the current API-specific OWASP Top 10 edition. It is useful for building test cases around authorization, authentication, resource consumption, business flows, SSRF, misconfiguration, inventory, and unsafe consumption of APIs.
NIST SP 800-228 Update 1 is a stronger lifecycle reference. NIST’s current page says the June 2025 publication includes updates as of March 13, 2026, adding an API risk appendix and a list of recommended controls by API lifecycle stage. That makes it useful for comparing prevention, pre-runtime testing, runtime protection, and governance instead of focusing on attack detection alone.
Use these standards as the neutral baseline, then add your own requirements for data residency, encryption, privacy, uptime, change control, evidence retention, incident response, and software-development lifecycle.
Common Comparison Mistakes
Comparing old product identities
Noname and Signal Sciences are still valuable search terms, but they are not standalone buying decisions. Evaluate current Akamai and Fastly products, contracts, support, and roadmaps.
Assuming each vendor belongs to one fixed category
Akto is not testing-only, Salt is not API-only, Akamai is not discovery-only, and Fastly is more than a basic signature WAF. Compare depth, not labels.
Using a feature checklist without test evidence
Two products can both claim “BOLA detection” and produce very different results. Require the same traffic, the same attack, the same pass/fail rule, and the same evidence standard.
Ignoring data handling
API products may inspect highly sensitive request and response content. Treat payload collection, masking, access, retention, regional processing, and deletion as first-class security requirements.
Skipping failure testing
Any inline control can become an availability dependency. Test failures, upgrades, bypass, rollback, and bad policy changes before production blocking.
Ignoring total operating cost
Licensing, traffic growth, retention, collectors, staff time, tuning, professional services, renewal rules, and data export can change the economic winner after the pilot.
Primary Sources Used for the September 2026 Update
- Salt Agentic Security Platform, plus Salt’s March 2026 platform announcement and June 2026 Salt Code announcement.
- Akamai API Security, the Noname acquisition announcement, and the May 2026 Security Posture Center/code-to-runtime announcement.
- Akamai 2026 API Security Impact Study for current vendor-sponsored market data.
- Akto Platform, Akto API testing documentation, and the June 2026 release.
- Fastly Next-Gen WAF and Fastly API Security.
- OWASP API Security Top 10 2023.
- NIST SP 800-228 Update 1, with updates as of March 13, 2026.
Frequently Asked Questions
Which is better: Salt Security, Noname Security, Akto, or Signal Sciences?
There is no universal winner. In 2026, the current products are Salt Security, Akamai API Security after the Noname acquisition, Akto, and Fastly Next-Gen WAF powered by Signal Sciences technology. The right choice depends on your mix of API discovery, testing, runtime analysis, inline enforcement, AI and agentic use cases, deployment model, data governance, and operating cost. Use the same proof-of-value scenarios for every vendor.
Is Noname Security still a separate product?
No. Akamai completed its acquisition of Noname Security in June 2024 and has been integrating the technology into Akamai API Security. Buyers should evaluate the current Akamai product, current packaging, deployment options, Active Testing, posture capabilities, code-to-runtime mapping, and enforcement integrations rather than the old standalone Noname product.
Is Signal Sciences now Fastly Next-Gen WAF?
Yes. Signal Sciences technology is delivered through Fastly Next-Gen WAF. Fastly positions the product as web application and API protection for applications, APIs, and microservices, with WAF, bot, rate-limiting, account-takeover, and DDoS-related controls.
Is Akto only an API security testing tool?
No. Testing is still a major part of Akto, but its current platform also includes API discovery, inventory, posture capabilities, and runtime threat detection and protection. Its public documentation describes more than 1,000 pre-built security tests and real-time API threat protection.
How is Salt Security positioned in 2026?
Salt now positions its platform around both API security and agentic security. Its current materials emphasize API discovery and visibility, posture and governance, runtime behavioral protection, and relationships among APIs, identities, LLMs, MCP servers, and agents.
Can Fastly Next-Gen WAF replace a dedicated API security platform?
Sometimes, but not automatically. Fastly provides strong request-path application and API protection, including WAF, bot, rate limiting, account takeover, DDoS-related controls, and support for several API protocols. If you also need deep API inventory reconciliation, pre-production testing, code-to-runtime mapping, sensitive-data analysis, or multi-step business-logic investigation, test those capabilities explicitly.
Which platform is strongest for API security testing?
Akto has the clearest testing-first positioning in this comparison and documents more than 1,000 pre-built tests. Akamai also offers Active Testing with automated and CI/CD use cases. Salt includes code, posture, and runtime capabilities. The winner should be based on safe authenticated testing, authorization and business-logic depth, retesting, evidence quality, and developer workflow.
Which platform is strongest for inline enforcement?
Fastly Next-Gen WAF is the most clearly WAF-centered option in this comparison and is designed for active request-path protection. Akto also documents real-time threat detection and blocking. Akamai can pair API Security with inline Akamai application protection. Salt uses a different detection and response model. Validate latency, rollback, failover, policy ownership, and false-positive handling before enabling blocking.
What should an API security proof of value measure?
Measure inventory accuracy, shadow and zombie API discovery, sensitive-data findings, authentication and authorization issues, testing depth, runtime detection quality, false positives, investigation context, deployment effort, data handling, resilience, remediation workflow, latency where relevant, and total operating effort. Use representative production-like APIs instead of a vendor-controlled demo.
What standards should an API security evaluation use?
Use OWASP API Security Top 10 as a practical risk taxonomy and NIST SP 800-228 Update 1 as a current lifecycle-oriented reference for API protection in cloud-native systems. Add your own regulatory, privacy, architecture, availability, and secure-development requirements.
Need an evidence-based API security comparison?
Ammune helps teams evaluate API discovery, runtime visibility, sensitive-data exposure, business-logic abuse, Layer 7 protection, SIEM evidence, deployment architecture, and proof-of-value outcomes against representative production APIs.