Apiiro is the leader in application security posture management (ASPM), unifying risk visibility, prioritization, and remediation with deep code analysis and runtime context.
Companies like Morgan Stanley, SoFi, Rakuten, and Navan leverage Apiiro's ASPM to...
Get complete application and risk visibility: Apiiro takes a deep, code-based approach to ASPM. Its Cloud Application Security Platform analyzes source code and pulls in runtime context to build a continuous, graph-based inventory of application and software supply chain components.
Prioritize risks with code-to-runtime context: With its proprietary Risk Graph™️, Apiiro contextualizes security alerts from third-party tools and native security solutions based on the likelihood and impact of risk to uniquely minimize alert backlogs and triage time by 95%.
Fix and prevent risks that matter—faster: By tying risks to code owners, providing LLM-enriched remediation guidance, and embedding risk-based guardrails directly into developer tools and workflows, Apiiro improves remediation times (MTTR) by up to 85%.
Apiiro's native security solutions include API security testing in code, secrets detection and validation, software bill of materials (SBOM) generation, sensitive data exposure prevention, software composition analysis (SCA), and CI/CD and SCM security.
Traceable AI specializes in monitoring, securing, and managing APIs. It offers detailed insights and enhanced visibility into API usage, helping businesses detect vulnerabilities and prevent data breaches, ensuring robust security.
Traceable AI provides businesses with advanced threat detection, real-time monitoring, and comprehensive insights into API activity. Users appreciate its intuitive dashboard, which effectively identifies vulnerabilities and ensures robust security measures. It enhances visibility into API traffic and performs automated risk assessments. The integration with existing tools is seamless, and the customer support is highly responsive and knowledgeable. However, initial setup can be complex, and feature customization can be challenging. Some users feel the documentation lacks depth and that performance can lag with large data volumes.
What are the key features of Traceable AI?
- Advanced Threat Detection: Identifies potential threats in real-time.
- Real-Time Monitoring: Keeps track of API activity continuously.
- Detailed Insights: Provides comprehensive visibility into API usage.
- Intuitive Dashboard: Easy to navigate, helping users manage security effectively.
- Automated Risk Assessment: Evaluates risk levels automatically.
- Seamless Integration: Works well with existing tools and systems.
What benefits can users expect?
- Threat Detection: Spot vulnerabilities before they cause damage.
- Data Breach Prevention: Ensure sensitive information remains protected.
- Improved Security Measures: Maintain a robust security posture.
- Operational Efficiency: Streamline API management with detailed insights.
- Enhanced Visibility: Monitor API traffic effectively.
Traceable AI is implemented across multiple industries, including finance, healthcare, and technology. Organizations in finance use it to secure sensitive financial data, while healthcare entities protect patient information. Technology companies leverage it for securing innovative digital solutions. The adaptable nature of Traceable AI makes it suitable for diverse applications, despite initial setup complexities or performance lags when handling large data volumes.
