Staying on top of cybersecurity trends and threats is almost a full-time job. The industry expands every day as new applications come online for the internet of things, machine learning and artificial intelligence. But cybercriminals are innovating, too. Not a day passes without news of a major ransomware attack or phishing scheme. Businesses large and small now must learn the intricacies of data breaches and the dark web, negotiating with hackers, buying cyberinsurance and training employees on the best cyberhygiene.
From drones for food delivery and robots for automation to COVID-19 contact tracing apps, and online education learning platforms, we've seen a great acceleration in adoption of different technologies in the past few months. Technology has been a great pillar of strength during the pandemic and it's also going to help redefine the post COVID-19 world. Now, different businesses and industries will benefit from different technologies, but there are some common ones that are likely to dominate the world after COVID-19. Nuff said, let's take a look at some of the tech trends that are likely to see a surge in adoption post COVID-19. We know this one's too obvious but that's for a reason - AI is playing a massive role in helping us all get through the pandemic and it will see a greater adoption after the pandemic is over.
AI is increasingly being put to use in the technology stacks of cybersecurity companies, but not at the expense of human experts who guide the rollout and work alongside the smart tools. Before 2019, one in five cybersecurity software and service providers were employing AI, according to a study last year by Capgemini Research Institute, in a review of recent research published in DarkReading. Adoption was found to be "poised to skyrocket" by the end of 2020, with 63% of the firms planning to deploy AI in their solutions. Planned use in IT operations and the Internet of Things are predicted to see the most uptick. Increased adoption of AI does not mean that security professionals on IT staffs are ready to hand off their responsibilities.
'The machines are taking over' has become a long drawn concept and a proverb now. To cite some examples following the herd would be Amazon, DHL, CIG, Siemens, Uber, and Tesla. This doesn't come off as a surprise when it has already been established that automation has fruitful results in the long term. Canon India seems to walk the same path, and have really robust plans for the future, relying on automation. Express Computer's Gairika Mitra gets into an invigorating chat with K Bhaskhar, Senior Vice President, Business Imaging Solutions (BIS), Canon India, to gain further clarity on this.
Deep Learning based Network Detection and Response technology leader included in "America's Most Promising Artificial Intelligence Companies"Blue Hexagon, deep learning innovator of Cyber AI You Can Trust was recognized in the 2020 Forbes AI 50 list. As one of America's most promising artificial intelligence (AI) companies, Blue Hexagon is the only real time deep learning cybersecurity company to instantly stop zero-day malware and threats before infiltration, detect and block active adversaries and reduce SOC alert overload."Traditional We are able to achieve 99.8% threat detection accuracy and sub-second verdict speed with our deep learning technology to revolutionize security operations," said Nayeem Islam, CEO of Blue Hexagon. "Forbes included us for using artificial intelligence in meaningful business-oriented ways. We're proud to be included in their list, and believe AI will fundamentally change the way we protect against cyber threats."In
Colleges across the country are scrambling to pandemic-proof their campuses. And everything from contact-tracing apps to facial recognition is on the table. The University of Alabama, for instance, is rolling out a suite of apps aimed at monitoring the coronavirus on campus. The school plans to release an app by the end of July that would notify students if they crossed paths with someone who tested positive for coronavirus, using Bluetooth technology. Other schools, such as the University of Arizona, say they are testing similar apps.
In February, the outreach director for an organization called Communities Against Rider Surveillance wrote to Evan Greer. CARS wanted to know if Fight for the Future, a nonprofit digital-rights advocacy group where Greer is the deputy director, would join, and allow itself to be listed as a member of the newly formed coalition. "CARS is a new coalition working to raise awareness of a dangerous technology called Mobility Data Specification," the email from outreach director Rich Dunn read. "In the wrong hands, the information collected by MDS poses grave privacy and safety risks." MDS is a technical specification created by Los Angeles' Department of Transportation, now managed by a third-party foundation.
ExtraHop, the leader in cloud-native network detection and response, announced that it has been named to the 2020 Forbes AI 50 list for its advances and innovation in the use of machine learning and artificial intelligence for cybersecurity. Forbes evaluated hundreds of applications to recognize 50 private, U.S.-based companies for their innovative use of artificial intelligence to drive outcomes for customers and within their own organizations. ExtraHop was selected on the basis of company growth and revenue, as well as for its leadership in the use of machine learning and AI for cybersecurity threat detection, investigation, and response. "Increasingly advanced cybersecurity attacks, including those sponsored by nation-states, require a sophisticated approach to threat detection and response," said Arif Kareem, CEO of ExtraHop. "This is not possible without machine learning and AI. At ExtraHop, we've applied these techniques to enable enterprises to detect and respond to cyber threats across complex enterprise and cloud environments at scale. Our inclusion on this list recognizes the strength of our approach."
With numerous organisations rapidly adapting to the use of new technologies within and outside of the workplace, wearable devices could soon become a common sight in offices as a means of enforcing workplace social distancing. Many are still working from home, but for those unable to carry out their jobs remotely, or those who have chosen to return to the workplace, ensuring they can do so safely is of paramount importance. The UK government has advised businesses to carry out a Covid-19 risk assessment, develop hygiene procedures, maintain workplace social distancing and manage transmission risk. But applying this to a busy workplace where employees attend meetings, collaborate on projects or simply socialise within the workplace makes keeping two metres apart a challenge. With this in mind, robotics company Tharsus has come up with a technology-based solution to "get businesses working again". The company, which has already developed technology solutions for companies such as DHL, Ocado, Rolls Royce, Automata and Small Robot Co, has developed "Bump", a Fitbit-style personal motion system designed to be a "simple, intuitive and friendly" way of improving workplace safety during the pandemic.