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AI is no longer just a buzzword. According to a 2024 McKinsey survey, 72% of companies now use AI in at least one area of their business. By 2027, nearly all executives expect their organizations to use generative AI for both internal and external purposes. However, with this rapid adoption comes significant security risks. As organizations rush to implement AI solutions, many overlook a critical vulnerability: prompt security.

The 17th century saw the onset of the Scientific Revolution. It was a time of knowledge explosion. During this time, scientific practices were still evolving, with no universally accepted protocols for data collection and analysis. Individuals documented any observation, resulting in the collection of massive amounts of information, but much of it was hard to leverage to draw useful conclusions. The development of the scientific method provided a common approach to capturing and analyzing data.

Learn how to connect your cloud environments without sacrificing speed, security, or cost efficiency. Businesses aren’t sticking to just one cloud provider anymore. Maybe you’re running apps on AWS, storing data in Google Cloud, and using Azure for AI workloads. It makes sense – each provider has its own strengths. But now you’ve got another challenge: How do you connect them all efficiently without running into performance issues, high costs, or security risks?

An AS-SET is a special object that represents a group of ASNs and forms the basis for IRR-based route filtering. However, many AS-SETs in circulation today have grown so big that they effectively whitelist much of the routing table, rendering them ineffective. According to recent analysis, there are currently 2,192 AS-SETs which expand to over 1,000 ASNs each! In this blog post, we’ll describe what an AS-SET is, its role in route filtering, and how to deal with excessively large AS-SETs.