Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Egnyte platform houses a lot of data. To enable users to make the most of this asset, we need to help them efficiently retrieve information. Traditional search interfaces do a decent job of retrieving information directly related to query keywords, often presenting results in a list format without additional interpretation or synthesis.

Every year there’s quite a bit happening at the RSA Conference and no matter how hard you try, it can be difficult to take it all in. Between a sprawling showfloor with hundreds of vendors vying for attention, speaking sessions with experts from across the industry, private meetings with customers and prospects, plus social events in the evening, it’s understandable that you can come away with a bit of sensory overload.

This month, we introduced an AI-powered conversational interface within Vanta Trust Center. Visitors to your Trust Center can ask questions and Vanta AI will generate answers based on the rich foundation of resources already available in your Trust Center.

2023 went down in history as the worst year for phishing attacks on record, with nearly 35 million attempted business email compromise (BEC) attacks detected and investigated, according to the Microsoft Threat Intelligence Cyber Signals report. Unfortunately, phishing analysis is one of the most time-consuming tasks for the SOC. Responding to a phishing incident requires careful examination.

After the debut of ChatGPT, and the ensuing popularity of AI, many organizations are leveraging large language models (LLMs) to develop new AI-powered apps. Amidst this exciting wave of innovation, it’s essential for security teams, product managers, and developers to ensure that sensitive data doesn’t make its way into these apps during the model-building phase.

Your business is in a race against modern adversaries — and legacy approaches to security simply do not work in blocking their evolving attacks. Fragmented point products are too slow and complex to deliver the threat detection and prevention capabilities required to stop today’s adversaries — whose breakout time is now measured in minutes — with precision and speed. As technologies change, threat actors are constantly refining their techniques to exploit them.

Everywhere we look, organizations are harnessing the power of large language models (LLMs) to develop cutting-edge AI applications like chatbots, virtual assistants, and more. Yet even amidst the fast pace of innovation, it’s crucial for security teams and developers to take a moment to ensure that proper safeguards are in place to protect company and customer data.

As AI adoptions become increasingly integral to all aspects of society worldwide, there is a heightened global race to establish artificial intelligence governance frameworks that ensure their safe, private, and ethical use. Nations and regions are actively developing policies and guidelines to manage AI’s expansive influence and mitigate associated risks. This global effort reflects a recognition of the profound impact that AI has on everything from consumer rights to national security.