DEVOPSdigest

Cequence announced multiple ML-powered advancements to its Unified API Protection (UAP) platform.

With this groundbreaking release, Cequence introduces ML-based security features, revolutionizing how organizations defend their digital assets in the AI era.

“API usage is soaring, yet many organizations grapple with securing it effectively,” said Ameya Talwalkar, CEO of Cequence. As API threats escalate, CISOs and software engineering leaders face mounting pressure to strengthen their defenses against increasingly sophisticated attacks leveraging AI. Attackers are harnessing AI capabilities to launch more targeted and evasive assaults, heightening the urgency for robust security measures. Our industry-leading innovations in ML-based security features set a new standard for safeguarding against these evolving threats against applications and their APIs. Cequence remains committed to empowering businesses with innovative solutions to navigate the complexities of API security and bot management in the face of AI-driven adversarial tactics.”

Empowering organizations to proactively safeguard their API infrastructure with confidence, Cequence’s solutions automate the detection of API management status, tailor security testing to unique business needs, and leverage ML-driven threat detection and mitigation. By equipping businesses with these tools, Cequence enables them to stay ahead of evolving threats and protect against data breaches and business disruptions. These game-changing enhancements are poised to redefine API security and are essential for any organization committed to protecting digital assets.

With the latest advancements to its innovative platform, Cequence now enhances:

Automated Threat Detection and Mitigation

- Automatic Rule, Model & Policy Generation: Leveraging ML capabilities, the system automatically identifies anomalous or malicious traffic patterns, generating rules, models, and policies for immediate attack mitigation. This ensures continuous protection, even during off-peak hours.

- Efficient ML-Aided Response: The ML-aided response mechanism drastically reduces the workload of analysts by saving hours of manual work. Each model run is potentially shortened by 90%, which translates to approximately 1 hour saved per run, enhancing overall operational efficiency.

- Enhanced Parallel Threat Hunting: The system allows for simultaneous threat hunting activities across multiple API endpoints. By analyzing various fingerprints and threat patterns concurrently, it accelerates the detection and mitigation process, ensuring robust security posture

Customized API Discovery

- Automated API Management Identification: Spyder automatically detects API hosts managed by vendors like MuleSoft, Apigee, and AWS API Gateway, providing instant insights into your API ecosystem’s management status with zero deployment or configuration changes.

- Tailored API Definitions: Organizations can customize API definitions to match their specific usage and requirements, ensuring accurate categorization and protection of critical APIs.

- Personalized Precision Discovery Algorithm: Tailor the discovery algorithm to specifically pinpoint API hosts of interest, such as those associated with particular product teams or hosting AI applications. This customization streamlines threat detection and response processes.

Bespoke API Security Testing

- Tailor-made API Security Test Plans: Sentinel enables the creation of customized API security test plans tailored to unique business needs, enhancing the effectiveness of security testing efforts.

- Flexible Authentication Profiles: Configure authentication profiles to test APIs using multiple user personas and privileges, ensuring thorough security validation across diverse user scenarios.

- Adaptive Test Cases: Customize test cases to generate diverse attack traffic profiles per API group, adapting testing strategies to varied threat scenarios and bolstering overall security posture.