Introducing Verisign Informed™: A High-Assurance Solution for Validating Trust at the Speed of Modern Threats

• By • Security

New technology is accelerating global reliance on digital infrastructure, yet also enabling and surfacing new security threats. Among these is “stale trust,” in which critical trust decisions are made based on out-of-date validation information. Verisign Informed™ addresses this problem by enabling trust decisions to be made using current status information for any digital certificate transaction, reducing online and enterprise risk.

There are two clear trends that together present significant risks to online commerce, privacy, and security. The first is a perennial and increasing reliance on digital services, and this reliance is increasing rapidly with the growing use of AI. We see this increasing reliance in the rapid growth of transactions in the DNS infrastructure we operate. Over the 7-year period 2016-2022, the average number of daily DNS transactions Verisign processed rose by a compound annual growth rate of 9.3 percent; in the 3-year period 2023-2025, the compound rate nearly doubled to 17.3 percent. Our analyses indicate that an increasing segment of this growth is driven by rapid AI deployment.

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Digital blue and purple pathways intersect and overlap.

Proposed New DNS Resource Record Types for AI Agent Discovery

• By • Security

This blog post is based on a paper titled “Efficient and Secure Discovery for AI Agents: The Case for DNS,” authored by Ramachandra Rao Seethiraju, Sameer Thakar, Karthik Shyamsunder, and Eric Osterweil. This blog was co-authored by all four authors.

For more than three decades, domain names have served as a foundational identity layer for internet applications. Initially used to identify early network services such as TELNET, FTP, and email, they later became essential to web browsing and a growing range of online services. Their enduring value lies in their ability to provide unique, stable, neutral, and widely recognized identifiers across changing technologies and use cases.

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