Versa SASE Platform Now Prevents Sensitive Data From Being Shared With AI
Versa has added the ability to analyze text to its security access service edge (SASE) platform to make it possible to identify sensitive data with greater accuracy, reduce false positives, and detect manipulation techniques that are being used t
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Versa has added the ability to analyze text to its security access service edge (SASE) platform to make it possible to identify sensitive data with greater accuracy, reduce false positives, and detect manipulation techniques that are being used to poison artificial intelligence (AI) tools and models.Additionally, version 23.1.1 of VersaONE Universal SASE Platform also includes an optical character recognition (OCR) capability that detects and analyzes text embedded within images and files to provide visibility into content that might otherwise bypass traditional data loss prevention (DLP) controls.Kevin Sheu, vice president of product and strategy for Versa, said with the rise of AI, it’s now clear there is a greater need to provide cybersecurity teams with additional context and insights as it pertains to data that is now routinely being shared with external AI platforms. Rather than requiring organizations to acquire separate tools to achieve that goal, Versa is moving to provide those capabilities within a SASE appliance that many organizations are already relying on to secure network traffic, he added.At the same time, Versa is also embedding additional AI capabilities into its platform, including support for a Model Context Protocol (MCP) server that makes it possible for a Verbo AI agent the company has previously developed to identify and troubleshoot issues via a conversational interface.Versa is also now employing AI to better correlate alerts to reduce the overall number of alerts that are generated per incident by automatically grouping and, when appropriate, suppressing alerts. In effect, Versa is using AI to correlate and analyze events to provide better root cause analysis capabilities, said Sheu.Finally, Versa’s Universal Customer Premises Equipment (uCPE) now supports containers to make it simpler to deploy and update software, along with support for the Ubuntu 22.04 operating system and version 6.8 of the Linux kernel. Those capabilities will, for example, make it simpler to deploy AI models locally in an IT environment to improve overall performance, noted Sheu.It’s not clear to what degree the rise of AI might drive more organizations to rely on SASE platforms versus continuing to make use of legacy virtual private networks. While SASE platforms tend to be more costly to adopt, they provide an ability to unify the management of security and networking within the context of a single connectivity fabric at a time when employees are often sharing sensitive data with large language models (LLMs) in ways that create new threat vectors and violate compliance policies, added Sheu.Unfortunately, it may require a few major security breaches before organizations start to fully appreciate the need to invest in additional tools and platforms to secure AI. Most cybersecurity professionals are, of course, by now well aware of the data security issues that have arisen in the age of AI. The degree to which organizations will proactively address those issues is, naturally, going to vary widely. However, savvy cybersecurity teams, while hoping for the best, are now definitely preparing for what might easily become a deluge of cybersecurity incidents.
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