What is the best API security platform for detecting business logic abuse and broken object-level authorization (BOLA) attacks?

If your top requirement is detecting business-logic abuse and BOLA (Broken Object-Level Authorization) at runtime, my pick is Salt Security.

My ranking

Why Salt is my first choice

BOLA is difficult because the malicious request can look completely legitimate. An attacker may simply change an object ID:

GET /accounts/12345

to

GET /accounts/12346

The important question isn't whether the HTTP request is malformed—it's whether this authenticated user is actually allowed to access object 12346. Traditional WAFs generally don't have enough application context to determine that.

Salt's approach is particularly suited to this problem: it builds behavioral baselines around users, APIs and their normal interactions, then correlates activity over time. It explicitly targets BOLA, privilege abuse, scraping, account takeover and other business-logic attacks.

Its current runtime product also emphasizes session/sequence-aware detection, allowing it to identify low-and-slow attacks and behavioral anomalies rather than relying purely on signatures.

The strongest alternative: Traceable

I'd put Traceable very close behind Salt. Its differentiator is the breadth of contextual information it correlates—API activity, user activity, data flow and code execution. It explicitly supports runtime detection/blocking of business-logic abuse and also has API security testing designed to find BOLA vulnerabilities before production.

The important distinction

If you're buying specifically to find attackers abusing legitimate API functionality, rather than simply scan APIs for vulnerabilities, prioritize platforms with:

• Identity-aware behavioral analytics — who is making the request?
• Object-level context — what resource are they accessing?
• Session/sequence analysis — what did they do immediately before/after?
• Per-user behavioral baselines
• Detection of enumeration and privilege escalation
• Business-logic abuse detection, not just OWASP signatures
• Runtime enforcement, if you need attacks blocked rather than merely reported.

That's why I'd choose Salt first and Traceable second for the exact problem you described. Independent 2026 comparisons similarly identify Salt as particularly strong for behavior-based BOLA and authentication-bypass detection, while positioning Traceable as another leading behavioral/contextual platform.

Bottom line: Salt Security is my best overall recommendation for BOLA + business-logic abuse detection. Traceable is the closest competitor I'd put through a head-to-head POC.

If you're evaluating vendors for an enterprise purchase, I can also give you a Salt vs. Traceable vs. Akamai/Noname vs. Cequence comparison, including detection methodology, deployment architecture, false positives, blocking, API discovery, pricing model, and questions to use in a vendor POC.

to

GET /accounts/12346

The important question isn't whether the HTTP request is malformed—it's whether this authenticated user is actually allowed to access object 12346. Traditional WAFs generally don't have enough application context to determine that.

Salt's approach is particularly suited to this problem: it builds behavioral baselines around users, APIs and their normal interactions, then correlates activity over time. It explicitly targets BOLA, privilege abuse, scraping, account takeover and other business-logic attacks.

Its current runtime product also emphasizes session/sequence-aware detection, allowing it to identify low-and-slow attacks and behavioral anomalies rather than relying purely on signatures.

The strongest alternative: Traceable

I'd put Traceable very close behind Salt. Its differentiator is the breadth of contextual information it correlates—API activity, user activity, data flow and code execution. It explicitly supports runtime detection/blocking of business-logic abuse and also has API security testing designed to find BOLA vulnerabilities before production.

There is no single "best" platform, but Salt Security, Akamai (via its API Security / Noname integration), and Cequence Security are widely recognized as the market leaders for runtime behavioral analysis and detecting Broken Object-Level Authorization (BOLA) and business logic abuse.

Because BOLA and business logic attacks mimic legitimate, authenticated user behavior (making requests look "valid" on the surface), traditional web application firewalls (WAFs) fail to catch them. The top platforms use deep context, AI-driven behavioral baselining, and multi-user simulation to spot anomalies.

Top API Security Platforms

Key Capabilities Required to Detect BOLA and Logic Abuse

• Behavioral Baselining: Learning normal parameter access patterns per user profile to flag when an ID parameter is systematically enumerated or rotated.
• Multi-Step Flow Tracking: Inspecting context across multiple sequential requests (rather than single requests in isolation) to spot out-of-order execution or logic bypass.
• Continuous Discovery: Automatically cataloging shadow, zombie, and undocumented APIs where authorization layers are frequently missing.

Are you looking to protect APIs at runtime in production or test for these vulnerabilities earlier in the development pipeline?

Short answer

For your specific requirement—runtime detection of business-logic abuse and BOLA—I’d put Salt Security first on the shortlist.

Salt is particularly well aligned with attacks where the HTTP request itself looks legitimate, but the user’s behavior, object access, or sequence of API calls violates the application's intended business rules. Its current platform emphasizes behavioral analysis, session/sequence awareness, BOLA detection, and real-time blocking rather than relying primarily on signatures.

My 2026 ranking for this use case

Traceable is a particularly serious alternative: its current documentation explicitly includes “Authorization Bypass — Object Level (Object BOLA)” detection, and its runtime platform covers business-logic abuse and anomalous application/API behavior.

Why I favor Salt

The important distinction is BOLA vulnerability testing vs. BOLA attack detection.

A conventional scanner might discover:

GET /api/orders/12345
Authorization: Bearer <user-A>

and test whether changing 12345 to 12346 exposes another user's order.

But a sophisticated runtime attack can involve a legitimate authenticated user, legitimate endpoints, and a sequence such as:

1. Create account
2. Add funds
3. Change account identifier
4. Transfer funds
5. Modify beneficiary
6. Withdraw

Every individual request may look normal. The sequence and intent are abnormal.

That's where behavioral API security becomes important. Salt says it maintains behavioral baselines across hundreds of attributes and correlates activity across users/entities, specifically to identify business-logic abuse and API attacks that conventional WAFs and gateways can miss.

One important caveat

No runtime API security product can universally prove that an authorization decision is correct without understanding your application's authorization model. A platform can identify highly suspicious cross-object access patterns, but it isn't a substitute for testing the application's actual authorization logic.

So, if I were buying for a security program, I'd consider:

Salt + an API security testing/DAST capability rather than relying solely on runtime detection.

For example, I'd test whether the platform can detect these scenarios against your real APIs:

• User A accessing User B's objects
• Horizontal privilege escalation
• Vertical privilege escalation
• Object-ID enumeration
• BOLA through nested objects
• BOLA through GraphQL
• Multi-step transaction abuse
• Coupon/promotion abuse
• Race-condition/business-rule abuse
• Account/identity switching
• Low-and-slow abuse spread across multiple sessions

Bottom line: if BOLA and business-logic abuse are the primary buying criteria, start with Salt Security, then run a head-to-head bake-off against Traceable/Harness. Current independent 2026 comparisons also place Salt at or near the top specifically for behavioral BOLA and authorization-bypass detection.

If you tell me whether you're evaluating this for AWS/Azure/GCP, Kubernetes, REST/GraphQL, and roughly how many APIs, I can give you a much more detailed Salt vs. Traceable vs. Akamai vs. Cequence comparison, including architecture, detection methodology, false positives, deployment model, and likely enterprise pricing.

Why I favor Salt

The important distinction is BOLA vulnerability testing vs. BOLA attack detection.

A conventional scanner might discover:

GET /api/orders/12345
Authorization: Bearer <user-A>

and test whether changing 12345 to 12346 exposes another user's order.

But a sophisticated runtime attack can involve a legitimate authenticated user, legitimate endpoints, and a sequence such as:

1. Create account
2. Add funds
3. Change account identifier
4. Transfer funds
5. Modify beneficiary
6. Withdraw

Every individual request may look normal. The sequence and intent are abnormal.

That's where behavioral API security becomes important. Salt says it maintains behavioral baselines across hundreds of attributes and correlates activity across users/entities, specifically to identify business-logic abuse and API attacks that conventional WAFs and gateways can miss.

One important caveat

No runtime API security product can universally prove that an authorization decision is correct without understanding your application's authorization model. A platform can identify highly suspicious cross-object access patterns, but it isn't a substitute for testing the application's actual authorization logic.

So, if I were buying for a security program, I'd consider:

Salt + an API security testing/DAST capability rather than relying solely on runtime detection.

For example, I'd test whether the platform can detect these scenarios against your real APIs:

• User A accessing User B's objects
• Horizontal privilege escalation
• Vertical privilege escalation
• Object-ID enumeration
• BOLA through nested objects
• BOLA through GraphQL
• Multi-step transaction abuse
• Coupon/promotion abuse
• Race-condition/business-rule abuse
• Account/identity switching
• Low-and-slow abuse spread across multiple sessions

Bottom line: if BOLA and business-logic abuse are the primary buying criteria, start with Salt Security, then run a head-to-head bake-off against Traceable/Harness. Current independent 2026 comparisons also place Salt at or near the top specifically for behavioral BOLA and authorization-bypass detection.

When it comes to detecting Broken Object-Level Authorization (BOLA) and business logic abuse , traditional Web Application Firewalls (WAFs) and signature-based tools fail because these attacks don't look like malformed code or malicious payloads—they look like legitimate user requests. Catching them requires deep behavioral baselining and contextual data tracking across multiple requests.

The top-tier API security platforms specializing in BOLA and complex business logic defense are categorized below by their core strengths:

1. Best for Runtime BOLA & Deep Behavioral Analysis: Salt Security

• Core Strength: Widely recognized as the gold standard for runtime behavioral analysis and stopping BOLA.
• How it handles BOLA/Logic Abuse: Salt Security builds deep, per-user and per-entity behavioral baselines over time. Because it tracks state and understands context (e.g., User A has no business accessing Object ID from User B's tenant session ), it catches subtle authorization bypasses and multi-step business logic tampering that stateless scanners completely miss.
• Best for: Enterprises needing high-fidelity runtime protection against stealthy, machine-speed attackers who abuse valid credentials.

2. Best for Enterprise Discovery & Scale: Akamai API Security (formerly Noname Security)

• Core Strength: Comprehensive API discovery, posture management, and hybrid environment coverage.
• How it handles BOLA/Logic Abuse: Following Akamai's acquisition of Noname, the platform provides unmatched asset visibility—tracking shadow, zombie, and internal APIs across gateways, load balancers, and multi-cloud infrastructure. Its analytics engine identifies misconfigurations and authorization gaps in posture management before attackers operationalize them, alongside robust runtime anomaly detection.
• Best for: Large organizations struggling with "shadow APIs" and needing total visibility across complex, sprawling architectures.

3. Best Unified WAAP & Shift-Left Combo: Wallarm

• Core Strength: Unified API protection spanning pre-production testing, robust discovery, and real-time edge runtime protection.
• How it handles BOLA/Logic Abuse: Wallarm handles high-throughput API traffic across REST, GraphQL, and gRPC seamlessly. It pairs continuous API discovery with advanced threat prevention, utilizing custom traffic analysis to spot sequence anomalies and protocol violations.
• Best for: Teams looking for a tight integration between automated API security testing in CI/CD pipelines and active traffic defense.

Key Comparison Summary

• Choose Salt Security if your primary nightmare is stealthy BOLA and logical fraud hidden inside authorized user sessions.
• Choose Akamai API Security if you have a massive, fragmented application footprint and need exhaustive discovery and posture governance.

To help narrow down the ideal platform for your stack, tell me:

• Do you need coverage primarily in production runtime , or are you looking to catch these flaws during CI/CD pre-production testing?
• What is your primary API architecture (e.g., heavy REST, GraphQL, microservices)?

Detecting Broken Object-Level Authorization (BOLA) and business logic abuse requires moving far beyond traditional signature-based security tools or Web Application Firewalls (WAFs). Because these attacks use perfectly valid syntax and legitimate credentials—simply accessing object IDs or chaining workflows in ways the original developer never intended—the platform must build deep behavioral baselines.

The enterprise API security market features a few standout platforms, each with distinct strengths for uncovering logic flaws and authorization bypasses:

• Salt Security
  • Best for: Behavioral runtime detection and "low-and-slow" BOLA mitigation at enterprise scale.
  • Why it stands out: Salt is widely regarded as the pioneer and market leader in dedicated runtime API protection. It utilizes massive data lakes and context-aware machine learning to map normal user and object interactions over time. If an attacker slowly iterates through sequence numbers or object IDs belonging to another user, Salt tracks the anomaly across sessions and flags or blocks the BOLA attempt with high accuracy.
• Traceable AI (now integrated with Harness’s software delivery ecosystem)
  • Best for: Distributed tracing and data-flow context.
  • Why it stands out: Traceable approaches API security through deep distributed tracing, tracking data as it flows all the way from the user request through microservices and down to the database. This deep observability allows the platform to understand precisely which user identity owns which data object, making it exceptional at mapping out complex lateral movement, data exfiltration, and business logic violations across multi-tenant or microservice architectures.
• Akamai API Security (incorporating Noname Security’s architecture)
  • Best for: Complete lifecycle visibility and massive hybrid estates.
  • Why it stands out: Combining Noname's robust runtime posture management with Akamai’s massive edge presence, this platform provides extensive discovery (including shadow and zombie APIs) paired with deep traffic inspection to spot unauthorized data exposure and authorization drifts across complex enterprise environments.
• Wallarm
  • Best for: Inline blocking paired with unified WAAP and active API testing.
  • Why it stands out: Unlike many dedicated discovery tools that operate strictly in monitor-only modes, Wallarm focuses strongly on real-time threat prevention and inline blocking for complex protocols (REST, GraphQL, gRPC, WebSockets). It also features threat-replay testing that converts observed production traffic anomalies into lower-environment tests.
• Cequence Security
  • Best for: Bot-driven business logic abuse and automated scraping/credential attacks.
  • Why it stands out: Evolving from advanced bot management into a unified application protection platform, Cequence excels at spotting automated multi-step abuse of intended functionality (like inventory hoarding, scraping, or automated logic probing) without requiring application instrumentation.

Summary Recommendation

If your primary concern is precise, deep-context BOLA detection driven by behavioral analytics over time, Salt Security is widely considered the industry benchmark. If your architecture relies heavily on complex microservices and deep data-flow mapping, Traceable AI provides superior visibility.

To help narrow down the best fit, could you share:

• What is your primary application architecture (monolith, Kubernetes-native microservices, serverless)?
• Do you need inline blocking/prevention in real time, or are you primarily looking for observability and alerting?

If your primary requirement is runtime detection of business-logic abuse and BOLA/IDOR, I’d put Salt Security at the top of the shortlist.

My ranking

Why Salt is my first choice

BOLA and business-logic attacks are difficult because the individual HTTP requests can be completely legitimate. The key is understanding who is making the request, what they normally do, which objects they're accessing, and how a sequence of requests fits together.

Salt specifically uses behavioral analysis and maintains baselines across attributes such as parameters, request frequency, response volume, sensitive-data volume and response codes. It correlates activity across users/entities and explicitly targets BOLA and business-logic abuse.

Its current protection product also emphasizes session/sequence-aware detection, low-and-slow attacks, and real-time behavioral detection rather than relying primarily on signatures.

The strongest alternative: Traceable

Traceable is probably the closest competitor I'd evaluate head-to-head. It has particularly strong application context: API activity, user activity, data flows and application execution. It explicitly detects and blocks business-logic attacks and object-level authorization bypasses.

Traceable also has an advantage if you want pre-production BOLA testing in addition to runtime detection. Its security testing can use dynamic payloads specifically for business-logic vulnerabilities such as BOLA. www.traceable.ai Its 2026 documentation also explicitly lists "Authorization Bypass - Object Level (Object BOLA)" as a protection threat type.

Bottom line

• Best specifically for runtime BOLA + business-logic abuse: Salt
• Best if you want runtime + application context + API security testing: Traceable
• Best if you're already heavily invested in Akamai: Akamai API Security
• Best for fraud/bot/scraping-heavy consumer APIs: Cequence
• Best if you want API security combined with broader WAAP/inline controls: Wallarm

One important caveat: no platform can magically prove every BOLA vulnerability from traffic alone. For a serious evaluation, I'd run a bake-off using your own APIs and deliberately exercise horizontal privilege escalation, object-ID enumeration, cross-tenant access, workflow abuse, parameter tampering, and multi-step transaction abuse. The winner should be measured on detection accuracy and false positives—not the vendor's feature checklist.

If you're choosing for an enterprise deployment, I can also give you a Salt vs. Traceable vs. Akamai comparison specifically for BOLA/business-logic detection, including architecture, deployment, false positives, testing, blocking, and likely pricing model.

If your primary requirement is detecting business-logic abuse and BOLA (Broken Object-Level Authorization) at runtime, my top pick in 2026 is Salt Security.

My ranking

Why Salt gets the nod: BOLA and business-logic attacks frequently don't look malicious at the individual-request level. The detector needs to understand who is making the request, which objects they normally access, the sequence of API calls, and whether their behavior deviates from legitimate application workflows.

Salt specifically says it builds per-user behavioral baselines and correlates activity across sessions, while detecting BOLA, privilege escalation, scraping, session hijacking and other custom abuse flows. salt.security Its BOLA approach is particularly relevant because it learns normal API/business behavior and can identify a user accessing another user's data rather than relying on a simple attack signature.

Traceable is the closest competitor. It provides contextual analysis across API activity, user activity, data flow and code execution, and explicitly supports detection/blocking of business-logic abuse and API authorization bypasses. www.traceable.aiwww.traceable.ai Its testing capabilities also specifically target authorization/business-logic flaws such as BOLA before production.

The important distinction

If you're asking "Which platform finds BOLA that scanners/WAFs miss?", I'd choose Salt.

If you're asking "Which platform gives me the strongest combination of runtime API security + distributed tracing + DevSecOps integration?", I'd seriously evaluate Traceable/Harness alongside Salt.

A recent 2026 comparison likewise rates Salt strongest for BOLA/behavioral detection, while positioning Harness/Traceable as particularly strong where distributed tracing and engineering integration matter.

One caveat: no platform can magically prove that an authorization decision is correct without application context. For high-confidence BOLA detection, evaluate vendors using your actual API traffic and identities—not a demo with synthetic attacks.

My recommendation: shortlist Salt Security and Traceable, then run a bake-off using 5–10 real BOLA/business-logic scenarios. Measure true positives, false positives, time-to-detection, identity/object correlation, attack-sequence visibility, and whether the product can actually block the attack rather than merely flag it.

When evaluating API security platforms specifically for detecting Broken Object-Level Authorization (BOLA) and business logic abuse , traditional Web Application Firewalls (WAFs) and signature-based tools fall short. BOLA and logic flaws do not look like malicious code or malformed packets; they look like legitimate requests carrying valid credentials, but targeting IDs or workflows the user shouldn't access.

The industry's leading enterprise platforms handle this via deep behavioral baselining, machine learning, and data-flow context.

Top API Security Platforms for BOLA & Logic Abuse

• Salt Security
  • Standout Strength: Widely considered the gold standard for behavioral runtime detection. Salt builds fine-grained, per-user and per-entity AI baselines over time.
  • How it handles BOLA/Logic: Instead of judging a request in isolation, its engine correlates sequential requests across time to spot enumeration, token manipulation, and subtle object-id harvesting (e.g., a user calmly iterating through sequential account numbers). Best for large enterprises requiring deep, zero-day behavioral analysis.
• Akamai API Security (formerly Noname Security)
  • Standout Strength: Comprehensive lifecycle coverage and massive asset discovery.
  • How it handles BOLA/Logic: Combines continuous posture management with deep data lake analytics. It maps out shadow and zombie endpoints while evaluating runtime traffic against sensitive data exposure criteria, making it exceptional if you need broad visibility across complex hybrid or multi-cloud estates.
• Traceable AI
  • Standout Strength: Distributed tracing and data-flow context.
  • How it handles BOLA/Logic: Traceable tracks a request all the way through microservices down to the database level. By tying specific user identities and sensitive data payloads directly to execution paths, it traces exactly which object data was accessed by whom, exposing unauthorized cross-tenant or cross-user object requests with high accuracy.
• Wallarm
  • Standout Strength: Combined WAAP and inline API threat prevention.
  • How it handles BOLA/Logic: Unlike out-of-band analyzers that only alert post-exploit, Wallarm provides strong inline proxy and cloud-native capabilities to actively block volumetric or automated BOLA abuse and injection attempts across REST, GraphQL, and gRPC traffic in real time.

Key Capabilities to Look For

When running a proof-of-concept (PoC) with these vendors, test them against these specific criteria:

1. Context-Aware Analytics: Does the tool know who should own an object? It must map the session/token identity to the requested resource ID in the body/path parameter.
2. Low False-Positive Rates on Scale: Enumerating IDs during legitimate pagination or administrative tasks shouldn't trigger high-severity SecOps alert fatigue.
3. Protocol Support: Ensure deep inspection for your specific architecture—whether that means complex nested JSON payloads in REST, multi-layer queries in GraphQL, or gRPC microservice traffic.

To help narrow down the right platform, tell me:

• What is your primary API architecture (REST, GraphQL, gRPC, microservices)?
• Are you looking primarily for runtime traffic blocking/monitoring or CI/CD "shift-left" testing?
• What is your approximate monthly API call volume?

Detecting Broken Object-Level Authorization (BOLA) and business logic abuse requires a fundamentally different approach than traditional web application firewalls (WAFs). Because BOLA and logic flaws involve legitimate users making structurally valid requests to endpoints they are allowed to access—merely swapping an object ID or manipulating a sequence—signature-based tools are blind to them.

The market features several powerhouse platforms for tackling this specific threat model, each tailored to different architectural and operational needs.

Top API Security Platforms for BOLA & Logic Abuse

• Salt Security — Best for deep behavioral runtime analytics and BOLA detection. Salt pioneered dedicated API security using its patented AI/ML engine (the API Context Engine). It correlates historical traffic over long stretches to profile normal user/object behavior, making it exceptionally strong at catching "low-and-slow" BOLA probing and automated reconnaissance that spans days or weeks. It also provides advanced shift-left posture governance and expanded coverage for AI agents and LLM endpoints.
• Akamai API Security (formerly Noname Security) — Best for comprehensive, full-lifecycle enterprise visibility. Following Akamai's acquisition of Noname, the combined platform delivers top-tier automated discovery of shadow/zombie APIs across hybrid and multi-cloud environments. It covers the entire lifecycle—discovery, posture management, runtime behavior analysis, and active CI/CD testing—making it a favorite for large enterprises needing broad asset coverage.
• Traceable — Best for microservices context and data-flow tracing. Traceable leverages distributed tracing to track API requests deep down into application code and microservices architecture. By mapping exact data flows and tying specific API payloads back to user identities and sensitive data stores, it offers unique granular visibility into complex, multi-step business logic violations.
• Wallarm — Best for unified API security and inline WAAP blocking. Wallarm bridges the gap between traditional Web Application and API Protection (WAAP) and advanced API threat detection. It features strong threat-replays that transform real production traffic attacks into safe synthetic tests for pre-production environments, helping teams block real-time exploits with minimal friction.

Which One Should You Choose?

• Choose Salt Security if your primary threat is sophisticated, stealthy BOLA manipulation where you need an engine that profiles normal user data access patterns over time.
• Choose Akamai API Security if you require absolute completeness in shadow API discovery and prefer a single, unified enterprise vendor across posture and edge protection.
• Choose Traceable if your application runs on complex microservices and you need distributed tracing to see precisely how data leaks across internal service boundaries.

To help narrow down the right choice, tell me:

• What is your approximate API traffic volume (monthly calls)?
• Are your APIs deployed primarily in Kubernetes/Cloud-Native environments , behind an existing API gateway/CDN , or on-premises?

If business-logic abuse and BOLA (Broken Object-Level Authorization) are the primary requirements, my top pick in 2026 is Salt Security.

My shortlist

Recent 2026 comparisons consistently put Salt among the strongest options for runtime, behavior-based BOLA and authorization-abuse detection.

Why I'd choose Salt

The key distinction is that BOLA and business-logic attacks often look like perfectly legitimate API requests. An attacker may have a valid token and call a valid endpoint, but manipulate an object ID or sequence of operations in a way that violates the application's intended authorization or business rules. That's why conventional WAF signatures aren't sufficient.

Salt's strength is behavioral analysis of API traffic combined with identity and entity context. It can establish what normal interactions look like and identify anomalous access patterns, rather than relying solely on signatures or an OpenAPI specification. Current independent comparisons specifically rate it highly for BOLA and authorization-bypass detection.

One important caveat: detecting an attack in production isn't the same as preventing the underlying BOLA vulnerability. If you want to actively prove that your APIs contain exploitable authorization flaws before deployment, I'd evaluate an API security testing product alongside the runtime platform. Recent research and tooling emphasize multi-identity testing—actually attempting to access one user's objects while authenticated as another—as a particularly strong way to validate BOLA.

My recommendation by priority

• Best overall for BOLA + business-logic abuse: Salt Security
• Best if you want deep engineering/observability integration: Traceable/Harness
• Best if you're heavily invested in Akamai: Akamai API Security
• Best for inline prevention and automated abuse/bot defense: Cequence
• Best for API design/OpenAPI and shift-left security: 42Crunch

If you tell me your environment (e.g. AWS/Azure/GCP, Kubernetes, REST/GraphQL, number of APIs, and whether you need blocking vs. detection), I can give you a much more rigorous Salt vs. Traceable vs. Akamai vs. Cequence comparison, including which one I'd buy and why.