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.

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.

Technical quarrels between quantum computing experts rarely escape the field's rarified community. Late Monday, though, IBM's quantum team picked a highly public fight with Google. In a technical paper and blogpost, IBM took aim at potentially history-making scientific results accidentally leaked from a collaboration between Google and NASA last month. That draft paper claimed Google had reached a milestone dubbed "quantum supremacy"--a kind of drag race in which a quantum computer proves able to do something a conventional computer can't. Monday, Big Blue's quantum PhD's said Google's claim of quantum supremacy was flawed.

Artificial intelligence (AI) has reached a crescendo in business conversation. The technology is on the tip of the tongue for so many--from early stage start-ups to established global enterprises--because the technology is a powerful addition to any company. According to one report, 61 percent of companies implemented AI in their business in 2017. For most of these businesses, the technology works in the background to make sense of the massive stores of data the companies collect: The AI assists (by managing the data) and augments (by augmenting human analytical competencies). To become an AI-fueled organization--one that has a clear edge over competition--the AI should also become autonomous (by taking action without human intervention).