OWASP Top 10 for Large Language Model (LLM) Applications, highlighting critical security vulnerabilities such as prompt injection, data poisoning, and system prompt leakage. It emphasizes the need for proactive security measures, including Zero Trust principles, access controls, and continuous monitoring to protect AI-driven applications from emerging threats.
Today, Versa is announcing the VersaONE Universal SASE Platform. VersaONE enables organizations to create self-protecting networks that radically simplify and automate their network and security infrastructure. Powered by AI, the platform delivers converged SASE, SSE, SD-WAN, and SD-LAN solutions that securely connect all users, devices, workloads, and networks through a unified platform.
This latest survey is more confirmation that an oft-mentioned reality continues to be true – that the nature of threats keeps advancing and organizations frequently find themselves falling further and further behind. Far and away, the top reason given for increased stress isn’t low budgets or lack of training or failure of company leadership to prioritize security – even though these are among the reasons cited – it’s the “threat landscape is increasingly complex,” listed by 81 percent of respondents, nearly double the next-closest response.
Understanding the cyber attack surface Historically, the “attack surface” was limited to well-known points of external exposure—the traditional perimeter of websites, external IP addresses, and endpoints. Our cyber attack surface has expanded dramatically over the past five years, now encompassing our cloud estate, millions of devices at the edge, and mobile and remote workers, in addition to our internet-facing infrastructure. This expansion of the definition to include cloud, end-user, and internal assets has been driven by the increasing sophistication of cyber attacks. The table below breaks down today’s complex attack surface into several categories, based on a framework presented by…
The sophistication and frequency of threats necessitate a dynamic and intelligent approach to cyber defense. Artificial Intelligence (AI) combined with Secure Service Edge (SSE) is a pivotal element in this defense strategy, especially within the context of a Secure Access Service Edge (SASE) framework. In this blog, we will explore how Versa Networks leverages these powerful tools to provide advanced data protection and maintain a robust security posture in the face of such evolving threats. Introduction to the Evolving Threat Landscape and the Role of AI and SSE in Data Protection Traditional security measures struggle to keep up with this…
Versa GenAI Firewall safeguards sensitive data from being uploaded into Generative AI tools (e.g. ChatGPT) while limiting shadow use cases of GenAI. It manages, monitors, and reports how your organization uses GenAI – including assessments on the riskiness of apps, controlling access, and preventing unauthorized data movement. Securing Generative AI Applications: Beyond LLMs While ensuring security for large language models (LLMs) is necessary to facilitate the adoption of GenAI applications within organizations, it is equally crucial to address broader concerns related to generative AI. Let’s delve into additional considerations: User-to-Application Access Control: Context: Generative AI tools are often accessed by…
Harness ChatGPT for productivity and secure against data leakage, credential abuse and privacy risks.
In today’s world where any organization can be a target for cyberattack, Secure Access Service Edge (SASE) can help ensure organizations can create a streamlined and secure network architecture that spans from the central headquarters to remote locations and mobile end users.
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