Podcast: Staying Resilient During the Tech Industry Turmoil

Avatar photo
Conor Quinlan

Episode Summary

Tech layoffs and banking failures have made the headlines recently. In this episode we cover how people in Silicon Valley and beyond can stay resilient in the face of stress. The episode first explores the human perspective of resilience on the ground with Vivian Lee, a guest from Airiam located in the Silicon Valley area.

The perspective of the discussion then expands, and we give tips for how companies around the country can best respond to the ripple effects of the turmoil.

Topics covered includes:

    • Make sure you review your technology and financial partners thoroughly.
    • Plan for resilience by having redundancy in critical areas.
    • Don’t fall for phishing emails related to banking changes or other hot topic issues.
    • If you do need to let people go, handle it thoughtfully and securely.

Video Version

Listen to more episodes at www.airiam.com/podcast, on Spotify, Apple Podcasts, Google Podcasts, Amazon Music, and other podcast platforms.

New Resources In Your Inbox

Get our latest cybersecurity resources, content, tips and trends.

Other resources that might be of interest to you.

Podcast: Resilience While Recording

 Episode Summary Anything can happen when you’re recording! From webinars to podcasts, Art Ocain and Vivian Lee know best about random mistakes and accidents when you’re trying to get the perfect audio and video. What can you do to prevent these
Vivian Lee
>>Read More

E-Greetings or E-Threats? The Era of Holiday E-Cards

E-Greetings or E-Threats? It’s the holiday season! This means sweet treats, lights and ornaments, and holiday cards with well wishes. Unless you’ve been living under a rock, sending and receiving holiday greetings has evolved from traditional paper car
Vivian Lee
>>Read More

Complete AI Readiness Assessment & Checklist

AI implementation failures have more to do with the preparation than the technology. Companies excited by AI’s potential skip the foundation work, deploy tools on unstable infrastructure, and wonder why their expensive AI investment delivers disappoint