Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In the era of big data and information overload, efficiently retrieving and generating relevant knowledge has become increasingly crucial across various domains. While traditional language models have made significant strides in natural language processing tasks, they often need help with factual accuracy, context awareness, and integrating external knowledge sources.

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.

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.

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.

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.

Cloud storage services and SaaS apps like Google Drive and Microsoft OneDrive provide convenient, scalable solutions for managing documents, photos, and more—making them indispensable for modern work and personal life. However, misconfigured settings and permissions can lead to serious security breaches, noncompliance, and even the loss of customer trust. Let’s explore the 5 most common misconfiguration issues with real-world examples.

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.

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.

When it comes to how employees get work done, personal devices are an ever-growing part of the equation. The 2023 Lookout State of Remote Work Security Report found that 92% of remote workers have performed work tasks on their personal mobile devices. While putting security controls on employer-owned devices is a no-brainer, the increasing overlap of personal with professional means that organizations need to think about how to secure employee-owned devices that are being used for work.