Gabe Gumbs has a deep-rooted passion for technology and information security, and his goal is to share that passion to push data security to the forefront of every business's agenda.

“Security is all I've ever done. It's what I know, it's what I love. I enjoy every aspect of [security]. From building it, to talking about it, to marketing, into selling it to you, It's a passion.” 

Gabe is the Chief Innovation Officer at Spirion — a leader in rapid identification and protection of sensitive data— and these days he’s channeling that passion to make the digital world a safer place. On this episode of IT Visionaries, Gabe explains his vision for data privacy and why it’s time to kick siloed data to the curb. He also provides a detailed view on the future of work and why the talent shortage that security professionals have discussed may not be exactly as drastic as it seems.

Main Takeaways

• Silos are an Unnecessary Evil: Data professionals are ingesting data from various sources which is opening them up to unnecessary vulnerabilities. When data is sourced from multiple areas, such as datasets and the cloud, security models are spread thin, making that data harder to protect. By bringing that data into one single area, companies will have a better chance of not only understanding data, but protecting it as well.
• Your Off-the-Shelf Model Needs to Go: Organizations that use a cybersecurity maturity model as a framework to measure the progress of their security tactics are leaving themselves vulnerable to attackers. Every bad actor is different, which requires a unique model to prevent those attackers from infiltrating your network.
• The Security Skills Shortage That Wasn’t: Analysts have been writing about a cybersecurity shortage for years and some believe the data privacy sector will suffer a similar fate. The issue however is not a lack of talent, but rather data security professionals must broaden their hiring practices because security is no longer simply about keeping data safe, but it’s also about policy and compliance with new data rules.

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