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Three AI and Machine Learning Cybersecurity Tips

Artificial intelligence and machine learning cybersecurity technologies hold the key to stopping today’s advanced threats.

Enterprises are failing to keep up with the evolving threat landscape, massive data breaches and global cyberwarfare, the speed and magnitude of which are constantly increasing. Too many businesses still rely on internal resources and hardware that has a short shelf life and limited capacity. Hackers, on the other hand, are innovative. They’re using automation, bots and artificial intelligence (AI). The only way to fight back is to use their own tactics against them, replacing antiquated and obsolete systems with adaptive technology.

With an approach focused on automation, AI and machine learning cybersecurity technology, organizations can dynamically create and manage security postures, identify threats and mitigate attacks.

Follow these tips to proactively and effectively combat emerging threats:

Take the fight to the cloud. One of the main benefits of cloud computing is scalability, and scalability is essential for any AI and machine learning cybersecurity initiative. Cloud-based cybersecurity services can provide virtually unlimited capacity for mitigating attacks of any size and complexity.

Fight robots with robots. Hackers use AI to craft attacks designed to evolve on their own and evade your defenses. An effective AI and machine learning cybersecurity approach can evolve with these threats and defeat zero-day attacks.

Identify a team of experts. As Oracle’s Kyle York said on This Week in Enterprise Tech, AI and machine learning cybersecurity tools are great, but you need people, too. Identify vendors with cybersecurity expertise that have the scale, capacity and cloud infrastructure to identify and mitigate threats at the edge of the network. Choose a vendor that provides a complete offering, including 24×7 managed security that acts as a natural extension of your internal IT organization.

We’ve reached the point where traditional IT security teams and on-premises, hardware-based cybersecurity tools are not enough. It is impossible for any business to react quickly enough to evolving threats without relying on AI and machine learning cybersecurity technologies.


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Colin Steele
Whois: Colin Steele

Colin Steele is a marketing communications specialist at Oracle Dyn, writing about DNS, cloud computing and edge security. He formerly covered data center and end-user computing at TechTarget for 11 years.