Traceable supports very large deployments consisting of thousands of API endpoints, and billions of API calls -- with flexible data collection and deployment options, including agentless or agents, depending on your needs.
1. fully out-of-band via network log analysis of AWS, GCP, and Azure Clouds,
2. Collection by instrumentation within your API gateway, proxies, or service mesh, and
3. in-app data collection through instrumentation by language-specific agents or socket filtering.
For highly regulated industries, Traceable can be deployed 100% on-premise in a fully air-gapped model, without sacrificing protection, speed or scalability.
Today’s cloud-based, API-driven, microservices-based applications all extensively operate using APIs to communicate between users/NPE’s (non-person entities) to applications, and between applications and application components.
API Security solutions are essential to aligning Zero Trust thinking with the realities of today’s application architectures and extending the Zero Trust security model to the full application stack.
However, to date, APIs have been largely neglected by Zero Trust models. In addition, digital transformation demands and DevSecOps processes at organizations have created new gaps and vulnerabilities attackers can exploit.
Traceable's API security platform builds on your Zero Trust Security strategy. We map to the NIST Zero Trust framework, as it covers reference architecture, data security, as well as compliance measures for defense in depth security.
Traceable provides robust analytics and threat intelligence capabilities that power root cause analysis, forensic research, and incident response.
1. API security data lake: collect and analyze the end-to-end path trace of all API calls and service behaviors. An API security data lake allows your SOC team, incident responders, threat hunters, as well as red teams and blue teams to conduct instant security analysis and root cause analysis.
2. Understand API traffic and user attribution: Understand API traffic history of user attributed transactions, sequences, and flows and perform post mortem reviews and analysis for any API security incidents.
3. Threat Hunting to reveal unknown API vulnerabilities: Perform threat hunting to reveal potentially unknown API vulnerabilities and visualize user behavior analytics to uncover fraud and abuse.
This level of security analytics enables SOC teams and threat hunters to optimize APIs and service behaviors to prevent the possibility of any data breach, ransomware, abuse, or data exfiltration.