Ransomware is being continually mentioned in the daily news and appears to be an unstoppable fiendish craze. Perhaps the recent attack of ransomware on the Colonial Pipeline received the most rapt attention since it led to concerns over gasoline shortages and caused quite a stir among the general public. When ransomware is used against a particular bank or hospital or school, this normally doesn't have quite the same widespread disruption as did the fuel pipeline incident. The thing is, we are probably going to see a lot more ransomware being fielded and doing so against all manner of businesses and governmental entities. Some would assert that we are only so far at the tip of the iceberg when it comes to ransomware hacks. Part of the reason why you can expect more use of ransomware is that it is relatively easy for an evildoer to deploy the computer hacking scourge. Whereas the perpetrator used to need to have some keen computer skills, that's not the case anymore. Sadly, ransomware programs can be cheaply purchased online via the so-called dark web, opening the floodgates to just about any determined villain. As a point of clarification, not every use of ransomware is successful.
It's amazing how far we've come with the internet and IT in general. However, with technology come issues around cybersecurity. In response, Artificial intelligence (AI) is changing the face of cybersecurity. AI integrates the use of machine learning to identify characteristics of harmful software. This integration, when done well, has the promise to revolutionize the online market, especially in identity theft protection.
If you use such social media websites as Facebook and Twitter, you may have come across posts flagged with warnings about misinformation. So far, most misinformation – flagged and unflagged – has been aimed at the general public. Imagine the possibility of misinformation – information that is false or misleading – in scientific and technical fields like cybersecurity, public safety and medicine. There is growing concern about misinformation spreading in these critical fields as a result of common biases and practices in publishing scientific literature, even in peer-reviewed research papers. As a graduate student and as faculty members doing research in cybersecurity, we studied a new avenue of misinformation in the scientific community.
While these technical skills are certainly important, we're also now looking more holistically at candidates to test their abilities to think critically and creatively as well as uncover new solutions. As we face new and unprecedented challenges in cyber protection, it's critical that cyber leaders hire team members who think outside-the-box, have intellectual curiosity, employ bold thinking, and are natural problem solvers. Protecting an organization against advanced cyber threats requires innovative thinking and techniques; people, process and technology capabilities are needed to properly defend ourselves against sophisticated attackers, such as nation states. Cyber threats will continue to evolve, as will the new techniques described above to enable cyber resiliency. Ariel Weintraub is currently the Head of Enterprise Cyber Security at MassMutual. Ariel first joined MassMutual in the fall of 2019 as the Head of Security Operations & Engineering, responsible for the Global Security Operations Center, Security Engineering, Security Intelligence, and Identity & Access Management. Prior to joining MassMutual, Ariel served as Senior Director of Data & Access Security within Cybersecurity Operations at TIAA where she led a three-year business transformation program to position IAM as a digital business enabler. Prior to TIAA, Ariel held the position of Global Head of Vulnerability Management at BNY Mellon and was part of the Threat & Vulnerability Management practice at PricewaterhouseCoopers (PwC).
McDonald's is being sued for recording customers' biometric data at its new artificially intelligent-powered drive-thru windows without getting their consent. In court filings, Shannon Carpenter, a customer at a McDonald's in Lombard, Illinois, claims the system violates Illinois' Biometric Information Privacy Act, or BIPA, by not getting his approval before using voice-recognition technology to take his order. BIPA requires companies to inform customers their biometric information--including voiceprints, facial features, fingerprints and other unique physiological features--is being collected. Illinois is only one of a handful of states with biometric privacy laws, but they are considered the most stringent. A McDonald's customer in Chicago is suing the burger chain, claiming it records and stores users' voiceprints without their written consent, in violation of Illinois strict biometric privacy law In 2020, the fast-food chain began testing out using voice-recognition software in lieu of human servers at 10 locations in and around Chicago.
Owing to COVID-19, enterprises have experienced significant disruption. While remote working has kept businesses afloat – it has also increased the surface for cyber attackers, which has led to massive network security risks as it makes an organization vulnerable to cyber threats. In the enterprise world, privacy and safety of customers' data is crucial. Hence, businesses need to focus on adopting a comprehensive cybersecurity architecture. And, this is where artificial intelligence comes under the spotlight.
Humans use technology to travel, communicate, learn, operate a business, and live comfortably. Our lives have been made easier by advances in technology. Communication, transportation, education and learning, healthcare, and many other infrastructure business areas have benefited from technological advancements. Technology has an impact on how people communicate, learn, and think. It contributes to society and influences how individuals interact daily.
Before diving into cyber security and how the industry is using AI at this point, let's define the term AI first. Artificial Intelligence (AI), as the term is used today, is the overarching concept covering machine learning (supervised, including Deep Learning, and unsupervised), as well as other algorithmic approaches that are more than just simple statistics. These other algorithms include the fields of natural language processing (NLP), natural language understanding (NLU), reinforcement learning, and knowledge representation. These are the most relevant approaches in cyber security. Given this definition, how evolved are cyber security products when it comes to using AI and ML?
Before diving into cybersecurity and how the industry is using AI at this point, let's define the term AI first. Artificial intelligence (AI), as the term is used today, is the overarching concept covering machine learning (supervised, including deep learning, and unsupervised), as well as other algorithmic approaches that are more than just simple statistics. These other algorithms include the fields of natural language processing (NLP), natural language understanding (NLU), reinforcement learning, and knowledge representation. These are the most relevant approaches in cybersecurity. Given this definition, how evolved are cybersecurity products when it comes to using AI and ML?
AI is the hottest trend when it comes to technology and innovation that transforms the daily lives of people across the world. On one hand, there is an emergence of AI innovation trends and on the other hand, it has created a plethora of job opportunities for humans. AI innovation trends are expected to drive massive breakthroughs in multiple industries such as healthcare, automotive, manufacturing finance and so on in these recent years. It has become an essential component to boost productivity and assist employees through machine learning algorithms, RPA, cybersecurity and many more. The rapid growth of advanced technologies with the implementation of AI can transform the foreseeable future of the tech-driven world.