Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The US Federal Bureau of Investigation’s (FBI’s) San Francisco division warns that threat actors are increasingly using AI tools to improve their social engineering attacks. “AI provides augmented and enhanced capabilities to schemes that attackers already use and increases cyber-attack speed, scale, and automation,” the FBI says.

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.

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.