Cequence Releases API Security Testing Suite for Generative AI Applications

Cequence, a provider of API security and bot management, is introducing several advancements to its Unified API Protection (UAP) platform specifically tailored to support the secure use of AI applications like generative AI and Large Language Models (LLMs).

Cequence’s solutions protect applications deployed in the cloud, on-premises, and hybrid environments, and also support serverless environments, ensuring an uncompromised security posture, according to the company.

“API security and bot management are more important than ever as AI technology grows,” said Ameya Talwalkar, CEO of Cequence. “As generative AI and Large Language Models become more common, organizations face new types of attacks. While many cybersecurity companies use AI to protect against threats, Cequence is focusing on using AI to defend specifically against attacks targeting AI applications. This approach, called ‘Cyber for AI,’ aims to set new standards in AI security and enhance overall cybersecurity.”

Cequence’s upgraded UAP platform introduces capabilities for proactive threat detection, streamlined security testing, and autonomous threat mitigation, empowering organizations to fortify their API infrastructure with confidence.

Key enhancements to Cequence’s UAP platform include:

• Testing LLM Applications for OWASP LLM Top 10 Threats
• Detecting and Blocking Automated AI Bot Activity
• Introducing the Cequence Flow Graph
• New Integrations Enhance Discovery of Third-Party APIs
• Offloading API Analytics Intelligence to the Edge
• Attack Surface Detection of API Gateways and Infrastructure

For more information about this news, visit www.cequence.ai.