Behavox, which provides a suite of security products that help compliance, HR, and security teams protect their company and colleagues from business risk, announced that it has launched its next-generation compliance solution, Behavox Quantum. On July 19th, Behavox will host a conference "AI in Compliance and Security" to formally introduce Behavox Quantum to clients and the artificial intelligence community. This leap in AI and machine learning has a brand new, state-of-the-art AI execution engine and a brand-new AI architecture. "The objective benchmarking of Behavox Quantum puts it unequivocally in a league of its own, the market leader from day one." "This solution is the culmination of our efforts over the last three years, and leverages technology that wasn't available until 2021," says Chief Customer Intelligence Officer Fahreen Kurji.

Indeed, the threat landscape continued to intensify, driven by a growth in attacks and the increasing sophistication of techniques used by perpetrators, adding additional pressures into a profession that – in the eyes of many – is nearing breaking point. Reports that a record US$40 million ransomware payment was paid by a US insurance company after its network was brought down and data stolen, merely scratches the surface of the cybercriminal events of last year. They can provide the building blocks for automated detection and response capabilities that can identify and even predict when and where attacks might be happening, removing the need for security teams to scramble in attempts to get eyeballs on everything and put out multiple flames at once. AI and Machine Learning can unravel this complex web of tools, showing which solutions offer sustained value and which ones are rarely used, if ever, helping firms to minimise their operational overheads. Simply put, they can offer complete visibility of an organisation's network, provide an appropriate response for any given threat, as well as unlock a stream of benefits relating to cost, efficiencies and operations.

Now, imagine an entirely different kind of computer, with head-spinning power, using mind-bending quantum mechanics to bring barely believable capabilities to life. A super super computer that can tackle calculations that the most powerful conventional machines would need decades to process – in a split second. This contraption – which resembles a baroque chandelier that could have hung at Versailles – is a quantum computer. They probably won't replace today's computers – don't expect your next laptop to be a quantum device – but they will be able to tackle certain boxed and highly complex tasks that force traditional computers to throw in the towel. If there are near-endless possible answers to a clearly defined problem, a quantum computer will find the solution much quicker than any conventional computer.

The capabilities of automation tools have not gone unnoticed in the cybersecurity market. Here, Tim Wallen, LogPoint Regional Director, UK&I, discusses what is needed for AI, Machine Learning and RPA to transform cybersecurity. Unfortunately, this trend was not bucked in 2021. Indeed, the threat landscape continued to intensify, driven by a growth in attacks and the increasing sophistication of techniques used by perpetrators, adding additional pressures into a profession that – in the eyes of many – is nearing breaking point. Reports that a record US$40 million ransomware payment was paid by a US insurance company after its network was brought down and data stolen, merely scratches the surface of the cybercriminal events of last year.

Hrishikesh is a Director, Financial Services BU at Capgemini. He has 19 years of experience in IT software industry playing high responsibility roles as Agile Transformation Lead, Agile Coach, Program Manager, Delivery Manager, Technical Project Manager, Technical Lead & Software Engineer. Hrishikesh is passionate about building high performing teams, taking individuals and teams on a journey of excellence and satisfaction. His vision of Agile is not just about implementing effective, efficient and lean processes, but transforming people's mindsets – to deliver better ROI and real business benefits. Hrishikesh holds a Bachelor of Engineering, Production Engineering from VJTI, University of Mumbai.

… television network of 7,5000 cameras in the capital is expected to facilitate face-recognition technology and machine-learning-based video monitoring.

The Royal Bahamas Police Force (RBPF) could be on the verge of making another leap in the fight against crime in The Bahamas, with high-level meetings taking place this week with potential vendors and stakeholders in public safety artificial intelligence technology. During a welcome and oath-swearing ceremony for nearly 100 new police recruits, Commissioner of Police Paul Rolle told the men and women that his executive team was present with the exceptions of two assistant commissioner's, including Assistant Commissioner Zhavargo Dames, "who's representing me in another meeting trying to get some technology, additional technology for the Royal Bahamas Police Force". When contacted for specifics, Rolle told Eyewitness News: "We are doing some exploration with artificial intelligence." He did not expound on what area the AI technology could be used in or what it could potentially achieve in its use in The Bahamas. The use of AI in law enforcement is not uncommon in other jurisdictions with significant advances in recent years.

Though your CRM system might be fulfilling all your customer relationship management needs, you might be amused to know how Machine Learning can add wings to your CRM solution. If you are looking to improve overall customer engagement, it is imperative to understand how CRM and machine learning can bring a catalytic change for your business. Machine learning is a lot like (AI) or Artificial intelligence, which assists computers or machines to learn without the need of explicit programming. Its data analysis method automates analytical model building. The technology enables machines to perform new tasks after being programmed using historic data sets.

Throughout history we have experienced four industrial revolutions that profoundly reshaped the way we lived, worked, and educated future generations. We progressively advanced from mechanization, to electrification, automation, globalization, and digitalization. These were all possible due to the design, development and deployment of novel technologies which had transformative impact during each of those eras such as steam engines, electricity, combustion engines, computers, internet and more recently robotics, AI, IoT, blockchain, nanotechnology, 3D printing, bio-implants, genomics, virtual reality, augmented reality, extends reality, etc. So which technology will cause the next major disruption and drive the onset of the 5th industrial revolution? Within a relatively short time period we have enjoyed the benefits of 1G to use the first cell phones, 2G to send text messages, 3G to surf the web and 4G to offer the speeds of today. We are currently in the midst of deploying 5G worldwide which uses high frequency millimeter wavelengths and will allow us incredible speeds, low latency and greater bandwidth.

Picture a pilot navigating the crowded skies over a major European city with a dark thundercloud looming ahead. Avoiding the storm is a matter of urgency, but how? Fortunately, the decision to change trajectory has just become easier, thanks to Thales's new-generation Flight Management System (FMS) for civil and military aircraft, PureFlyt, which provides pilots with more detailed weather information as the flight progresses. It does this with agile functions including flight planning and trajectory computation, fuel management, horizontal and vertical guidance, datalink connections with on-ground counterparts, and location capabilities. A user-friendly "What You See Is What You Fly" display shows the pilot precisely how the aircraft is forecast to behave throughout the duration of the flight up until wheels touch ground.