Application Security
Traceable AI API Security Platform
API discovery, testing, and runtime attack blocking via distributed tracing and baselines.
Traceable AI API Security Platform Overview
What it does
Traceable is an application and API security platform built on distributed tracing, capturing and correlating every application and API request over time to build a contextual model of normal behavior. Its OmniTrace engine links API activity, user activity, data flow, and code execution into a single data layer, which lets the platform surface shadow, rogue, and third-party APIs and distinguish business logic abuse from legitimate traffic without relying on signatures or pre-defined API specifications.
How it works
The platform discovers APIs continuously through eBPF workload instrumentation, network traffic analysis, in-code components, and integrations with API gateways, then maps sensitive data flows from edge to data store. Contextual security testing runs against live and replayed traffic to find vulnerabilities such as Broken Object Level Authorization (BOLA) before code reaches production. At runtime, machine-learning baselines flag anomalous activity and the platform blocks OWASP API Top 10 attacks, bot abuse, DDoS, and data exfiltration by threat actor, IP range, geolocation, or attack type. Named customers include Informatica, Jobvite, and Axos Bank.
Credentials and traction
Traceable is SOC 2 Type I and SOC 2 Type II certified, with controls verified by an independent third-party auditor. It was named a Leader in the 2023 GigaOm Radar for API Security, repeating its Leader placement from the 2022 edition. Named customers include Informatica, Axos Bank, Credit Karma, Lemonade, and Navan. The platform targets enterprises securing large, distributed API estates across cloud-native and microservices architectures.
Key Capabilities
mapped to solution categoriesContinuously discovers and inventories all APIs across the environment, including shadow and zombie APIs that are not tracked in the official catalog.
Assesses inventoried APIs for misconfigurations and insecure implementations, such as endpoints that expose sensitive data or lack proper authentication.
Defends live APIs against exploits, abuse, access violations and denial-of-service attacks using AI-driven anomaly detection, content inspection and traffic management. Delivered by dedicated API threat protection tools, API gateways or a WAAP platform.
Tests APIs for vulnerabilities using static, dynamic and interactive analysis, covering both traditional application flaws such as injection and API-specific flaws such as broken object-level and function-level authorization. Depth varies by protocol coverage (REST, SOAP, GraphQL, gRPC) and by whether discovery feeds the test scope.
Identifies APIs that transmit or return sensitive data such as personal information, credentials, or tokens, so exposure can be flagged and controlled.
Detects broken object-level and function-level authorization, where a caller can reach data or operations belonging to another user or role.
Detects and rate-limits automated abuse, credential stuffing, scraping, and misuse of sensitive business flows.
Validates live API traffic against the documented OpenAPI or schema definition to catch undocumented endpoints, unexpected parameters, and drift.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on August 23, 2026
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