If we look close enough, many new security threats are something we've seen in another form or an attack style we've had to previously defend against.
Just as organizations get comfortable with leveraging the cloud, another wave of digital disruption is on the horizon: artificial intelligence and its ability to drive the cognitive enterprise.
Regardless of what cloud service model you adopt, it's important to consider security implications related to application development, data and contract management, and IT asset governance.
Armed with security analytics tools, organizations can benefit from big data capabilities to analyze data and enhance detection with proactive alerts about potential malicious activity.
There is no single answer to the question of how to best use data encryption. Depending on their application and data types, organizations will likely need to apply different architectural patterns.
One cybersecurity capability that continues to prove it's here to stay is threat hunting, a proactive approach to discovering and mitigating threats.
Companies should look for a cloud security solution that sits in front of the database and can send traffic to your existing tools without having to install any software on the database.
Most security systems are built with data confidentiality in mind, but effective data privacy will also emphasize integrity and availability.
The enactment of recent privacy mandates is just the start. A comprehensive data risk management program established before more regulations go into effect is well worth its weight in gold.
If you're thinking about adopting artificial intelligence as an ally in your security operations center, the following questions and considerations can be helpful to guide your decision-making.