Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Today’s business world is more interconnected than ever. Communication gaps between teams, limited access to crucial data, and the inability to adapt swiftly to market shifts become pain points that slow down progress and hinder critical business decision-making. The Egnyte Mobile App is designed to address communication and collaboration challenges on-the-go.

Generative AI (à la OpenAI’s GPT and the likes) is a powerful tool for summarizing information, transformations of text, transformation of code, all while doing so using its highly specialized ability to “speak” in a natural human language. While working with GPT APIs on several engineering projects an interesting idea came up in brainstorming, how well would it work when asked to describe information provided in raw JSON into natural language?

In the fast-paced world of application development, the use of open source components offers a quick path to building sophisticated applications. However, this approach introduces critical questions about software composition, licensing, and security. Before pushing any new application to production or even staging, the security and compliance teams alongside the application owner must address the following: This is where the importance of a Software Bill of Materials (SBOM) becomes clear.

The cloud security market is still maturing and growing at a rapid pace. New security jargon, solutions, vendors, and acronyms are constantly appearing, making it difficult to have a clear sense of what approach to cloud security is best for your own organization. Cloud-native application platforms (CNAPPs) are one of the most recent categories in this space.

Ten Eleven exists to provide high-value, cyber-focused counsel, capital, and connections to brilliant security entrepreneurs. We understand the unique problems security entrepreneurs face because we’ve been there and seen what makes the difference. One of the things that experienced cyber practitioners understand is how important it is to have technologies that work in the messy existing real world, not just green field new architectures.

In recent times, the remarkable advancement of AI has revolutionized our technological landscape. Its profound benefits have not only enhanced the efficiency of our daily operations but also induced transformative shifts across industries. The impact of AI has made our lives more convenient, creating new opportunities in the digital world. Looking ahead, AI's influence promises a future full of innovation and potential.

As more organizations collectively progress toward adopting a SASE architecture, it has become clear that the traditional SASE market definition (SSE + SD-WAN) is not enough. It forces some teams to work with multiple vendors to address their specific needs, introducing performance and security tradeoffs. More worrisome, it draws focus more to a checklist of services than a vendor’s underlying architecture.

Artificial Intelligence tools such as Bard, ChatGPT, and Bing Chat are the current big names in the Large Language Model (LLM) category which is on the rise. LLMs are trained on vast data sets to be able to communicate by using everyday human language as a chat prompt. Given the flexibility and potential of LLMs, companies are integrating them into many workflows inside the tech industry to make our lives better and easier.