Episode 245: How AI is remaking knowledge-based authentication

In this episode of the Security Ledger podcast, we interview Matt Salisbury of Honeybadger HQ, about his anti-fraud startup and how AI and machine learning are breathing new life (and potency) into knowledge-based authentication. discovery of ZuoRAT, malware that targets SOHO routers – and is outfitted with APT-style tools for attacking the devices connected to home networks.

As always,  you can check our full conversation in our latest Security Ledger podcast at Blubrry. You can also listen to it on iTunes and Spotify. Or, check us out on Google PodcastsStitcherRadio Public and more. Also: if you enjoy this podcast, consider signing up to receive it in your email. Just point your web browser to securityledger.com/subscribe to get notified whenever a new podcast is posted. 

Usernames and passwords have been with us almost as long as computers themselves – at least since the early 1960s when MIT introduced the Compatible Time-Sharing System (CTSS), an operating system, that was the first computer system to implement password login. 

60 years in, passwords at a breaking point Matt Salisbury is the co-founder and CEO of Honeybadger HQ

Six decades later, however, password use has tipped into the absurd. A 2017 study by Lastpass of its business users found that the average employee maintained 191 passwords in their account. That means the average 250 person company maintained more than 47,000 passwords. If the data is right, many of the passwords employees use are weak and easily guessed  – or used across multiple applications. 

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