Cequence has announced a series of advancements to its unified API protection (UAP) platform.
These enhancements have been tailored to support the secure use of AI applications such as 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.
“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, organisations 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.”
In today’s digital landscape, APIs serve as the backbone of countless applications, necessitating robust security measures. Cequence’s upgraded UAP platform provides proactive threat detection, streamlined security testing and autonomous threat mitigation.
Key enhancements to Cequence’s UAP platform include:
• Testing LLM applications for OWASP LLM top 10 threats.
• Detecting and blocking automated AI bot activity.
• Launching a new graphing capability within the UAP platform, known as the 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.