Tech Insights
VRFs

VRFs

Last updated , generated by Sumble
Explore more →

What is VRFs?

Verifiable Random Functions (VRFs) are cryptographic hash functions that provide publicly verifiable proofs of their outputs' correctness and unpredictability. A VRF takes a secret key and an input, and produces a pseudorandom output along with a proof. Anyone with the corresponding public key can verify that the output was indeed generated from the input and the secret key, ensuring that the output is both unique to the input and unpredictable to anyone without the secret key. VRFs are commonly used in blockchain applications for selecting validators or lottery winners in a fair and unbiased manner, and in other distributed systems where randomness needs to be generated and verified securely.

What other technologies are related to VRFs?

VRFs Competitor Technologies

VPN technologies that provide similar connectivity and traffic isolation capabilities as VRFs.
mentioned alongside VRFs in 100% (55) of relevant job posts
Can be used to create VPNs with similar functionality to VRFs.
mentioned alongside VRFs in 11% (82) of relevant job posts

VRFs Complementary Technologies

Used to secure traffic traversing VRFs, providing encryption and authentication.
mentioned alongside VRFs in 36% (57) of relevant job posts
Can be used in conjunction with VRFs to provide network address translation for traffic within a specific VRF.
mentioned alongside VRFs in 25% (54) of relevant job posts
A routing protocol that can be used to route traffic within a VRF.
mentioned alongside VRFs in 1% (979) of relevant job posts

Which organizations are mentioning VRFs?

Organization
Industry
Matching Teams
Matching People
VRFs
Cisco Systems
Scientific and Technical Services

This tech insight summary was produced by Sumble. We provide rich account intelligence data.

On our web app, we make a lot of our data available for browsing at no cost.

We have two paid products, Sumble Signals and Sumble Enrich, that integrate with your internal sales systems.