This week’s podcast is sponsored by Code42. In it, we speak with Code42’s Mark Wojtasiak about how companies can handle the security risks that accompany the “great resignation” and other COVID -inspired phenomena to prevent data theft and other undesirable outcomes.
As hard as it is to believe 18 months into a global pandemic and with a 4th wave of Delta variant cases rising in the U.S., there will be a post-COVID reality at some point, and life (and work) will eventually return to normal, or something that is more like the pre-pandemic normal than what we’re living through now.
Or not. One of the surprising revelations of the past few months, as vaccines have become readily available in the U.S. and Europe, is what some have called the “great resignation” – a wave of voluntary departures by employees who are not ready to return to the office, either because of fear of infection or disaffection with their current employment.
Also listen to Episode 176: The New Face of Insider Threats with Code42
COVID hasn’t interrupted mergers and acquisitions either and may eventually fuel them, as companies battered by the pandemic get scooped up by competitors who were less affected.
Resignations and acquisitions are just part of doing business in the 21st century. But they also introduce a lot of risk. To put it simply: employees who are leaving a company these days typically aren’t leaving empty handed. Going with them may be reams of data – files, communications – even source code – to which they feel entitled. And companies, unfortunately, are ill suited to spot and counter such migrations.
Listen to our conversation above, or use the button below to download the MP3 recording.
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 check us out on SoundCloud, Stitcher, Radio 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.