Today we’re excited to announce new and enhanced enterprise-grade platform capabilities that build upon our existing enterprise capabilities and customization functionality. Along with our new AI-powered Trust Center announced today, these capabilities enable mature organizations to run their security and compliance programs and demonstrate trust at scale.

In the vast and interconnected world of information technology, the security of network services and protocols is paramount for organizations of all sizes. Among these, Samba—a free software re-implementation of the SMB/CIFS networking protocol—plays a crucial role in facilitating file and print services across various operating systems, including Unix, Linux, IBM System 390, and Windows.

As the number and severity of third-party breaches continues to rise, companies are scrutinizing more closely not just how they handle data, but how their vendors do as well. For security leaders, this means more security reviews are coming across their desk everyday. ‍ Limited resources and legacy processes make it hard for security teams to keep up with the pace of business.

The rapid advancements in large language models (LLMs) have revolutionized how we interact with technology, powering various applications for different use cases. As the adoption of LLM-powered solutions continues to grow, so does the emergence of new and evolving security threats that aim to exploit these robust AI systems.

Building, pre-training, and fine-tuning an AI model is no small task and you’ll naturally want to protect your efforts from theft, denial of service attacks, malicious use, and other threats. In this blog we’ll go over the basics of keeping AI models safe from both legal issues and bad actors.

Since our beginning, CyCognito has integrated AI techniques to power robust and accurate attack surface discovery and testing. And we’re also adding new capabilities all the time. In this post, we’ll share with you some of the tasks that CyCognito’s AI helps power or simplify, along with a primer of the various techniques we leverage.

We're excited to announce the availability of Polaris Assist, our AI-powered application security assistant that combines decades of real-world insights with a powerful large language model (LLM). Polaris Assist gives security and development teams easy-to-understand summaries of detected vulnerabilities and code fix recommendations to help them build secure software faster.

The big idea behind Corelight has always been simple: ground truth is priceless. What really happened, both now and looking back in time. Whether it is used to detect attacks, investigate routine alerts, respond to new vulnerabilities or a full scale incident response, the constant is that ground truth makes everything in security better. We have no claim of authorship here. By contrast, we learn from the world’s most accomplished defenders through their use of Zeek® and Suricata®.