Logical Security

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Artificial intelligence (AI)-based technology seems poised to enhance nearly every aspect of our lives. The security industry is no exception where we see AI-based object detection and classification providing analytics with increasingly reliable data. One of the chief benefits is the reduction of false alarms, and the ability to finally reap the benefits analytics have promised for security and business intelligence.

Sumo Logic research reports that 56% of companies with more than 10,000 employees receive more than 1,000 security alerts every day, and 93% say they cannot address all alerts the same day. Cybercriminals are also aware of alert fatigue and count on IT to ignore many security alerts.  So, what can you do? 

Security spoke to Kimber Goerres, Security Systems Integration & Project Management Lead at Sony Electronics, who has served diligently in her role, ensuring the company’s error or down rate is nominal and establishing the technical security requirements for Sony offices globally. Here, Goerres speaks about her role, establishing technical security requirements and ensuring improved security levels through risk, vulnerability and audit assessments.

Software as a service (SaaS) has taken over, and the average enterprise now uses hundreds of unique SaaS applications to accelerate their digital transformation and business velocity. However, while SaaS has fulfilled its growth-enabling potential, most organizations have lost their grip on its consumption and use. IT and security teams can no longer depend on network or endpoint controls to govern application access.

The cybersecurity industry is in the midst of a skills crisis. With a cyberattack occurring approximately every 39 seconds, every business needs a well-trained staff to protect it. How can the void be filled? Artificial intelligence (AI). It’s one of the best hopes for the industry and has the potential to ease the pressures of the security skills shortage.