The proliferation of AI and machine learning workloads has accelerated the generation and utilization of unstructured data—including emails, source code, collaboration files, logs, recordings, and internal documentation. Unlike structured data, which resides in databases, unstructured data spreads across cloud drives, SaaS applications, endpoints, and unmanaged collaboration tools.
As organizations increasingly embrace AI-powered coding tools to accelerate development and reduce engineering overhead, a new threat is emerging at the intersection of generative AI and open-source software (OSS): slopsquatting.
Secure your enterprise with AI-powered Versa SASE that boosts threat detection and response with real-time analytics, behavioral insights, and intelligent security automation for today’s digital landscape.
This blog summarizes the key takeaways from the report to help IT and network leaders understand the challenges ahead and where to focus as they modernize their infrastructure. It’s meant to help IT and network teams cut through the noise, pinpoint where their current approach may fall short, and prioritize the areas that will have the biggest impact on performance, security, and scalability.
Discover how agentic AI enhances threat detection, network optimization, Zero Trust security, and policy management. Learn how VersaAI Labs is driving AI-powered security innovation.
Shadow AI is exposing businesses to security risks and data leaks. Learn how to secure Generative AI usage with governance, AI firewalls, and compliance controls.
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…
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