Faced with the challenge of reinventing themselves into a digital business, organizations are scrambling for AIOps and DevOps expertise to work on multiple platforms. Gartner's latest Hype Cycle for Artificial Intelligence, 2020 found that the faster the democratization of AI occurs, the greater the importance of developers and DevOps to create enterprise-grade applications. The 2020 BMC Mainframe Survey provides new insights into just how quickly enterprises rejuvenate mainframes as part of their broader AIOps and DevOps initiatives. Most noteworthy about the study's results is how enterprises pursuing next-generation business models find value in rejuvenating mainframes as part of their digital business strategies. They are now core to DevOps and AIOps integration company-wide, further solidifying their value.

Faced with the challenge of reinventing themselves into a digital business, organizations are scrambling for AIOps and DevOps expertise to work on multiple platforms. Gartner's latest Hype Cycle for Artificial Intelligence, 2020 found that the faster the democratization of AI occurs, the greater the importance of developers and DevOps to create enterprise-grade applications. The 2020 BMC Mainframe Survey provides new insights into just how quickly enterprises rejuvenate mainframes as part of their broader AIOps and DevOps initiatives. Most noteworthy about the study's results is how enterprises pursuing next-generation business models find value in rejuvenating mainframes as part of their digital business strategies. They are now core to DevOps and AIOps integration company-wide, further solidifying their value.

Debates over the benefits and risks of AI are now a day-to-day occurrence in the media, writes Professor Ben Azvine, Head of Security Research, BT. Many of these discussions focus on the potential negatives – from existential threats to employment via the automation of jobs, through to AI being used for the creation of'deep fake' videos. On the other hand, we're already benefiting from the positive effects of AI with automated assistants, while future benefits like self-driving cars are now only just over the horizon. AI will have a transformative effect across almost all technologies and industries, and cyber security is no exception. In preparation for this, my team are constantly researching the short- and long-term developments that AI could provide for both cyber attack and defence – and how we can prepare for them.

Alan Turing is famous for several reasons, one of which is that he cracked the Nazis' seemingly unbreakable Enigma machine code during World War II. Later in life, Turing also devised what would become known as the Turing test for determining whether a computer was "intelligent" -- what we would now call artificial intelligence (AI). Turing believed that if a person couldn't tell the difference between a computer and a human in a conversation, then that computer was displaying AI. AI and information security have been intertwined practically since the birth of the modern computer in the mid-20th century. For today's enterprises, the relationship can generally be broken down into three categories: incident detection, incident response, and situational awareness -- i.e., helping a business understand its vulnerabilities before an incident occurs.