Artificial intelligence (AI) and machine learning (ML) and are hailed by experts as being among the most powerful tools used to detect cyber security attacks before they cause damage.
But how can chief information security officers (CISOs) avoid common pitfalls, as they look to build security solutions that leverage AI and ML?
This question will be tackled by Rik Turner, principal analyst at research firm Ovum. Turner will give a presentation today, titled "The CISO's Guide to AI and ML", at the NetEvents EMEA IT Spotlight event that kicked off this morning in Barcelona, Spain.
"AI and ML are increasingly becoming the topic of conversation in the cyber security space. I will be discussing the many challenges of using AI and ML in cyber security, including writing the algorithms, then training algorithms to recognise the patterns that can indicate a threat," notes Turner.
"Although smaller companies may seek professional help from enterprises that offer more of a managed service, that in itself may require considerable customisation and thus expense, in order to tailor the AI environment to the particular circumstances of the company."
The two-day NetEvents conference is a "meeting of the minds" that brings together global senior ICT industry experts, executives, innovators, technologists and media from across the globe, to participate in a series of presentations, discussion dialogues and media briefings, focusing on global technology trends.
Turner will be joined by speakers representing global technology firms, such as VMware, Verizon, IDC, Forbes, Gartner, GlobalData, NetFoundry, Neoma, RSA and nCipher.
Break-away sessions and press briefings will look at issues such as managing the explosion of Internet of things devices, the global cyber security threat landscape, the future of banking technology and disaster recovery.
Ksenia Efimova, IDC senior research analyst, European enterprise networks and lifecycle services, will chair a roundtable discussion focusing on creating next-generation data centres.
"Data centres have evolved over time, shifting away from mainframe architecture toward a more software-based architecture. We will discuss what transformation data centres need to go through, to become faster, better managed both in terms of workload management and storage, networking, and more scalable," says Efimova.
To remain competitive in the era of digital transformation, Efimova adds, enterprises are looking for ways to become more agile, speed up their time to market with new products, and better understand their customers.
"To address these pressing needs, organisations are leveraging new technologies such as AI, robotics, augmented reality/virtual reality to drive innovation, and migrating applications and processes into the cloud, creating a wealth of new data points that organisations can use to better serve their market."
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