Salt Security, Noname Security, Akto, and Signal Sciences are still searched together, but the names now hide an important reality: this is no longer a comparison of four unchanged standalone products. Noname Security is part of Akamai API Security, Signal Sciences technology is delivered through Fastly Next-Gen WAF, and both Salt and Akto have broadened their public positioning into newer API and agentic-security use cases.
The useful question is not “Which logo wins?” It is “Which operating model produces the best verified risk reduction for our APIs, applications, AI-connected services, and security teams?” This guide compares current public positioning, then gives buyers a neutral scorecard and proof-of-value plan for testing what each platform can actually do.
Start With the Current Product Names
Using current names prevents a procurement team from comparing old analyst slides with new commercial packages.
| Search term | Current buying context | What to verify |
|---|---|---|
| Salt Security | Salt’s current platform messaging spans API discovery, posture, runtime protection, and agentic AI relationships involving APIs, identities, LLMs, and MCP servers. | Which API, code, cloud, AI, and runtime modules are included in the proposed package? |
| Noname Security | Akamai completed its acquisition of Noname Security in June 2024. The current evaluation is Akamai API Security. | How discovery, posture, runtime incidents, Active Testing, code-to-runtime mapping, and Akamai controls work together today. |
| Akto | Akto currently presents discovery, inventory, continuous testing, posture, and runtime threat detection and protection, with additional agentic AI security messaging. | The depth of testing, runtime correlation, blocking, deployment, evidence, and enterprise operations. |
| Signal Sciences | Signal Sciences technology is now delivered as Fastly Next-Gen WAF, a WAF and WAAP-centered application and API protection product. | The exact Fastly package, edge or on-premises deployment, API signals, request and response data handling, bot controls, and enforcement workflow. |
Akamai’s acquisition announcement and current product page confirm the Noname transition, while Fastly’s product materials describe Next-Gen WAF as powered by Signal Sciences. Salt and Akto’s current platform pages show that both now claim broader coverage than the narrow categories often used in older comparisons.
Quick Answer: Which Platform Fits Which Buying Motion?
No vendor should be selected from a one-line label, but the following starting points can make a shortlist more rational:
- Salt Security: consider it when the program centers on broad API and agentic-asset discovery, posture, behavioral context, and threat protection across code, cloud, and runtime.
- Akamai API Security: consider it when the organization wants full-lifecycle API discovery, posture, runtime detection, testing, and integration with a large Akamai security estate.
- Akto: consider it when continuous API security testing, a large test library, developer workflows, inventory, and newer runtime protection are central to the buying case.
- Fastly Next-Gen WAF: consider it when active application and API protection, WAF operations, bot and abuse controls, rate limiting, and flexible edge or on-premises enforcement are the leading requirements.
These are starting hypotheses, not final rankings. Akto now claims runtime protection, Akamai promotes testing, Salt has expanded into code and agentic security, and Fastly includes API-specific controls. The proof of value must test where the products overlap and where their operating models differ.
What Each Vendor Publicly Emphasizes
Salt Security
Salt’s 2026 platform messaging connects API security with agentic AI security. Its public materials emphasize discovery, posture management, runtime threat detection, and relationships among APIs, identities, LLMs, MCP servers, and autonomous actions. This may appeal to organizations that want one risk graph across traditional APIs and AI-driven interactions.
Validate the operational details: traffic collection methods, internal and external coverage, code and cloud integrations, investigation timelines, API and agent identity context, response-data handling, enforcement options, and how findings reach developers and the SOC.
Akamai API Security, formerly Noname Security
Akamai positions API Security as a lifecycle platform for continuous discovery, inventory, posture management, runtime threat detection, and pre-deployment testing. The Akamai relationship may be particularly relevant for companies already using Akamai application security, edge, or delivery services.
The buyer should ask what is native to API Security, what depends on another Akamai product or partner integration, how non-Akamai traffic is collected, how code and runtime assets are mapped, and whether enforcement can be coordinated without creating multiple disconnected policy systems.
Akto
Akto remains strongly associated with API security testing, but its current platform is broader. Public materials describe API discovery, inventory, posture, continuous testing, runtime threat detection, and blocking. Akto also promotes agentic AI testing and protection use cases.
A proof of value should examine authentication handling, authorization-test depth, test safety, production data controls, runtime correlation, event quality, blocking logic, false-positive management, scaling, and the effort required to operate the platform across many teams.
Fastly Next-Gen WAF, powered by Signal Sciences
Fastly positions Next-Gen WAF as web application and API protection for applications, APIs, and microservices. Public materials emphasize contextual request detection, blocking, API protection, bot defense, account-takeover controls, DDoS-related protections, rate limiting, and flexible deployment at the edge or in customer environments.
The key evaluation question is not whether it is “only a WAF.” It is whether its API inventory, schema awareness, identity and workflow context, response visibility, testing, and investigation depth match your requirements beyond active request-path protection.
Salt vs Akamai API Security vs Akto vs Fastly: Side-by-Side
This table describes current public emphasis and the evidence a buyer should request. It deliberately avoids universal checkmarks because feature names do not prove depth, coverage, or operational fit.
| Evaluation area | Salt Security | Akamai API Security | Akto | Fastly Next-Gen WAF |
|---|---|---|---|---|
| Current center of gravity | API and agentic discovery, posture, behavioral protection | Full-lifecycle API security within the Akamai portfolio | Continuous testing plus discovery and runtime protection | WAF and WAAP-centered application and API enforcement |
| Inventory and attack surface | Verify code, cloud, external, runtime, AI, and MCP sources | Verify traffic, code, specifications, inactive APIs, and ownership mapping | Verify traffic sources, collection normalization, ownership, and coverage | Verify how much inventory and posture context exists beyond protected traffic paths |
| Pre-production testing | Verify code scanning, test coverage, authentication, and retesting | Verify Active Testing, Snyk integration, safety, and code-to-runtime mapping | Core public emphasis; validate authorization, workflow, and business-logic depth | Validate testing capabilities separately from WAF detection and virtual patching |
| Runtime behavior and incidents | Verify sequence, identity, data, API, agent, and business-action correlation | Verify anomaly context, posture-to-incident links, data exposure, and investigation flow | Verify threat detection accuracy, successful-exploit logic, context, and retention | Verify request context, API signals, bot and ATO correlation, and multi-step visibility |
| Inline enforcement | Clarify native actions, integrations, response workflow, and rollback | Clarify API Security actions versus Akamai App & API Protector or other controls | Validate runtime blocking, policy model, latency, bypass, and exception handling | Primary public strength; validate protection mode, policy safety, and failover |
| AI, agent, and MCP coverage | Prominent current platform theme | Current page includes GenAI, LLM, MCP, and AI-linked API use cases | Current platform messaging includes agentic AI discovery, testing, and protection | Validate AI-specific coverage beyond request inspection, bots, and API abuse |
| Best proof question | Can it correlate a multi-step API or agent action to identity, data, and business impact? | Can it map an API from code and inventory through testing, runtime incident, and remediation? | Can it safely test and then recognize the same risk in realistic runtime traffic? | Can it block the required API abuse safely while preserving performance and availability? |
Buyer-Fit Scenarios
Enterprise API and agentic-security program
Salt may deserve priority when the organization wants to connect traditional API risk with agentic systems, MCP servers, identities, and business actions. Akamai and Akto should still be tested if they are on the shortlist because both now promote AI-related use cases.
Existing Akamai customer
Akamai API Security may reduce procurement and integration complexity for an established Akamai customer. That advantage must be balanced against traffic coverage outside Akamai, package dependencies, data architecture, and whether API findings and enforcement remain understandable across product boundaries.
Testing-first AppSec or DevSecOps team
Akto is a natural candidate when the program begins with continuous API testing, broad test coverage, CI/CD workflows, and developer remediation. Compare it directly with Akamai Active Testing and Salt’s code or posture capabilities rather than assuming the testing category has only one option.
WAF modernization and active protection
Fastly Next-Gen WAF is a natural candidate when the urgent requirement is to protect web applications and APIs in the request path, reduce tuning effort, stop malicious automation, and support edge or on-premises deployment. Test deeper API discovery and business-context needs separately.
Mixed cloud, on-premises, and internal API estate
All four vendors should be asked to prove coverage across public gateways, Kubernetes ingress, internal service traffic, partner APIs, mobile backends, GraphQL, gRPC, asynchronous APIs, and APIs that do not traverse the vendor’s preferred enforcement point.
Architecture, Resilience, and Data Governance
A feature comparison is incomplete until the team understands how each product collects traffic, tests APIs, stores evidence, and affects availability.
| Area | Questions to ask | Evidence to require |
|---|---|---|
| Traffic collection | Mirror, gateway, agent, sidecar, eBPF, cloud log, repository, edge, or inline? | A diagram for every production traffic path, including encrypted and east-west traffic. |
| Coverage gaps | What is missed when traffic bypasses a gateway, edge, collector, or agent? | A reconciled inventory against DNS, cloud, ingress, service catalog, and specifications. |
| Performance | What latency, CPU, memory, network, and storage overhead is introduced? | Measurements at expected and peak load, not a generic laboratory figure. |
| Failure behavior | What happens during SaaS, collector, agent, network, or policy failure? | Failover, bypass, fail-open or fail-closed, recovery, upgrade, and rollback tests. |
| Payload data | Which request and response fields leave the environment? | Field-level collection, masking, exclusion, encryption, and access-control documentation. |
| Residency and retention | Where is evidence processed and stored, for how long, and how is deletion verified? | Contractual region, retention, deletion, backup, and support-access commitments. |
| Multi-tenancy | How are business units, customers, environments, and managed-service tenants separated? | Tenant-isolation controls, administration boundaries, and audit logs. |
| Operations | Who tunes, approves blocks, handles exceptions, and owns remediation? | RACI, runbooks, role model, change workflow, and support escalation process. |
For broader architecture context, compare the roles of an API gateway and reverse proxy, and decide where passive monitoring, testing, and inline controls belong before selecting a vendor.
A Weighted 100-Point Vendor Scorecard
Adjust the weights before demonstrations begin. Every vendor should receive the same APIs, scenarios, data-handling constraints, and scoring rules.
| Category | Weight | What earns a high score |
|---|---|---|
| Inventory and attack-surface coverage | 12 | Accurate API, version, owner, exposure, data, and lifecycle inventory across all required traffic paths. |
| Pre-runtime testing and validation | 12 | Safe authenticated testing, authorization depth, business-flow coverage, CI/CD integration, and reliable retesting. |
| Runtime behavior and investigation | 15 | Identity, tenant, object, sequence, data, and business-action context with low-noise incidents. |
| Enforcement and abuse controls | 12 | Safe blocking, rate controls, bot defense, exceptions, approvals, rollback, and measurable effectiveness. |
| AI, agent, and MCP coverage | 8 | Discovery, identity, tools, permissions, downstream APIs, data flows, testing, and runtime action context. |
| Architecture and resilience | 12 | Complete coverage, predictable performance, high availability, failure testing, upgrade safety, and deployment flexibility. |
| Data governance and privacy | 10 | Minimized collection, masking, residency, retention, deletion, access control, auditability, and tenant isolation. |
| SOC and remediation workflow | 8 | Useful SIEM fields, evidence, ownership, deduplication, case workflow, developer routing, and outcome tracking. |
| Administration and operating effort | 6 | Clear roles, manageable tuning, automation, APIs, change control, support, and predictable staffing requirements. |
| Commercial terms and exit planning | 5 | Transparent metrics, growth model, renewal terms, service levels, data export, configuration portability, and deletion at exit. |
| Total | 100 | Score evidence, not promises. |
Run a Five-Phase Proof of Value
Phase 1: Define outcomes and guardrails
Select representative APIs and define success criteria, testing authorization, sensitive-data rules, performance limits, stop conditions, owners, and a common scoring sheet. Include public, internal, partner, mobile, administrative, GraphQL or gRPC, and machine-to-machine APIs.
Phase 2: Measure discovery and posture
Compare each product’s inventory with gateway routes, DNS, cloud assets, ingress configuration, service catalogs, repositories, and OpenAPI files. Measure true positives, missed APIs, duplicates, versions, owners, sensitive data, authentication, exposure, and drift.
Phase 3: Test safely
Use controlled identities, synthetic records, approved test cases, bounded resource tests, and explicit stop conditions. Evaluate authentication, object and function authorization, property-level access, resource consumption, server-side request forgery protections, inventory weaknesses, unsafe third-party consumption, and sensitive business flows. OWASP’s API Security Top 10 provides a shared risk vocabulary, while NIST SP 800-228 Update 1 organizes controls across the API lifecycle.
Phase 4: Validate runtime and response
Replay approved scenarios and observe whether the platform explains who acted, which API and object were involved, what data or business action was affected, how the sequence developed, why the event is risky, and which owner should respond. Measure duplicates, false positives, detection delay, investigation time, and evidence quality.
Phase 5: Prove operations and economics
Test SIEM integration, tickets, dashboards, policy approvals, block and rollback, failover, upgrades, role separation, payload governance, reporting, and data export. Calculate implementation work, infrastructure, traffic or API-unit growth, professional services, staffing, and renewal exposure.
Minimum proof-of-value outputs 1. Reconciled API inventory with documented misses and duplicates 2. Validated security findings with reproducible evidence 3. Runtime incidents mapped to identity, data, sequence, and owner 4. Performance and failure results under representative load 5. Data-flow, residency, masking, retention, and deletion record 6. SIEM and remediation workflow with measured investigation time 7. Three-year operating-cost model and documented exit path
Use the detailed API security vendor evaluation checklist and an API security proof-of-value guide to turn this comparison into a repeatable procurement process.
Common Comparison Mistakes
1. Comparing old product identities
Noname and Signal Sciences are not unchanged standalone buying motions. Use current Akamai and Fastly products, packaging, support, roadmaps, and contracts.
2. Treating vendors as fixed categories
Akto is no longer fairly described as testing only, Salt is no longer fairly described as API only, Akamai is not limited to runtime discovery, and Fastly offers more than basic signature filtering. Test real depth instead of repeating an old category label.
3. Scoring feature names instead of evidence
Two vendors can both claim discovery, BOLA detection, or AI security while producing very different coverage, context, false positives, operational effort, and remediation outcomes.
4. Ignoring response data and privacy
Response inspection can reveal sensitive-data exposure, but it can also create a new data-governance risk. Confirm collection, masking, access, retention, location, and deletion before sending production traffic.
5. Running only a vendor-controlled demo
A polished demonstration does not represent legacy APIs, inconsistent authentication, partner integrations, internal traffic, production scale, or the alert volume your team will operate.
6. Forgetting resilience and rollback
Inline or agent-based controls can affect availability. Test failure modes, bypass, upgrades, policy mistakes, and recovery before granting blocking authority.
7. Omitting total cost and exit planning
Licensing units, traffic growth, retention, collectors, professional services, staff time, renewal limits, data export, and configuration portability can change the real winner after the pilot.
Primary Sources Used for This Update
- Salt Agentic Security Platform and Salt Collect runtime analysis.
- Akamai API Security and Akamai’s Noname acquisition announcement.
- Akto platform and Akto product documentation.
- Fastly Next-Gen WAF and its deployment documentation.
- OWASP API Security Top 10:2023.
- NIST SP 800-228 Update 1, published March 13, 2026.
Frequently Asked Questions
Which is better: Salt Security, Noname Security, Akto, or Signal Sciences?
There is no universal winner. Salt, Akamai API Security, Akto, and Fastly Next-Gen WAF now overlap across several API security functions, but their public emphasis and operating models differ. The best choice depends on the required traffic coverage, testing depth, runtime context, enforcement model, data governance, integrations, resilience, and total operating cost. A controlled proof of value is more reliable than a generic feature matrix.
Is Noname Security still a separate product?
Akamai completed its acquisition of Noname Security in June 2024. Buyers should therefore evaluate current Akamai API Security packaging, deployment options, integrations, testing capabilities, and roadmap rather than assuming the former standalone Noname product is unchanged.
Is Signal Sciences now Fastly Next-Gen WAF?
Yes. Signal Sciences technology is now presented through Fastly Next-Gen WAF. Fastly positions it as web application and API protection for applications, APIs, and microservices, with multiple deployment options. Buyers should verify the exact package, traffic path, data handling, and API-specific controls they will receive.
Is Akto only an API security testing tool?
No. Testing remains a prominent part of Akto’s positioning, but its current platform materials also describe API discovery, inventory, posture, runtime monitoring, and threat protection. Buyers should test the depth and maturity of each module rather than placing Akto in a testing-only category.
How is Salt Security positioned in 2026?
Salt currently presents a platform spanning API and agentic security, including discovery, posture management, runtime threat protection, and relationships among APIs, identities, LLMs, and MCP servers. Buyers should verify how those capabilities apply to their actual API and AI architecture.
Can Fastly Next-Gen WAF replace a dedicated API security platform?
It depends on the requirement. Fastly Next-Gen WAF provides application and API protection, request inspection, blocking, bot controls, rate limiting, and deployment flexibility. Organizations needing deep inventory reconciliation, code-to-runtime mapping, extensive pre-production testing, sensitive data-flow analysis, or multi-step business-logic investigation should validate those capabilities explicitly.
What should an API security proof of value include?
Use representative public, internal, partner, mobile, administrative, and machine-to-machine APIs. Measure inventory accuracy, sensitive-data findings, authorization and abuse signals, testing quality, event context, false positives, deployment effort, latency, resilience, data handling, remediation workflow, and time to verified value.
Which vendor is strongest for API security testing?
Akto publicly places strong emphasis on continuous API security testing and a broad test library. Akamai also promotes Active Testing, while Salt includes code and posture capabilities. The correct choice depends on authentication support, test safety, coverage of business logic and authorization, CI/CD integration, retesting, evidence quality, and how findings map to runtime assets.
Which vendor is strongest for inline enforcement?
Fastly Next-Gen WAF is the most clearly WAF-centered option in this comparison and publicly emphasizes active protection across edge and on-premises deployments. Akto also describes runtime detection and blocking, while Akamai and Salt provide different protection and integration models. Buyers should test policy safety, rollback, failover, latency, and operational ownership.
What data-governance questions should buyers ask?
Ask what request and response fields are collected, where data is processed and stored, how masking works, whether secrets and tokens can be excluded, who can access payload evidence, how long data is retained, how deletion is verified, and what changes for regional, private, or self-managed deployments.
Should an enterprise combine a WAF with an API security platform?
Often, yes. A WAF or WAAP can provide request-path enforcement, while a dedicated API security platform may add discovery, posture, testing, behavioral analysis, and investigation context. The architecture should avoid duplicate alerts and unclear ownership by defining which control detects, decides, blocks, and records evidence.
How should CISOs score these vendors?
Use a weighted scorecard tied to business risk and operating reality. Include inventory, testing, runtime context, enforcement, AI and agentic coverage, architecture, resilience, data governance, SOC workflow, administration, commercial terms, and exit planning. Require evidence from the same representative API set for every vendor.
Need an evidence-based API security comparison?
Ammune helps organizations evaluate discovery, traffic visibility, sensitive-data exposure, business-logic abuse, SIEM evidence, deployment architecture, and proof-of-value outcomes against representative APIs.