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AI generated scams and phishing in 2026
Monday, January 5, 2026 by Austin Harris
David Stonehill, CTO, NetLib Security offers his insight into what 2026 will hold for us in the way of AI scams.
By 2026, AI-generated scams and phishing will be virtually indistinguishable from legitimate apps, storefronts, and communications making detection alone unreliable. App developers will need to design for breach resilience using MFA, passkeys, AI-driven se...
NetLib Security predictions 2025
Thursday, January 2, 2025 by Richard Harris
The leading prediction for 2025 will sound familiar: Generative AI directly affects your privacy rights. In many ways, this is a twist on the typical cybersecurity problem. Rather than a hacker or a bad actor breaking in to steal your data, we are being asked to hand our keys to the companies we often trust the most: Microsoft, Apple, Dropbox, and Google!
NetLib Secu...
AI cybersecurity impacts according to NetLib Security
Monday, December 18, 2023 by Richard Harris
This is an easy call to make: NetLib Security predicts that Artificial Intelligence - Generative AI - will continue to heavily impact the world of cybersecurity, upping the game for defensive players, while giving cybercriminals more tools on the offensive side.
2023 was a year in which AI seemed suddenly to be everywhere. Although AI is not a new field, ChatGPT and ...
To encrypt or not encrypt legacy devices no longer a choice
Thursday, March 19, 2020 by Austin Harris
Encryption forms a strong layer of protection for our data and a last line of defense against cybercrime. By deploying encryption, users can render their data unreadable if it is compromised. Whether that means hackers intruding into the network, or an employee unwittingly exposing sensitive information, the data will be useless to any unauthorized agents who happe...
