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.
In this article, we're going to discuss machine learning and artificial intelligence in cybersecurity. We'll look at the benefits and challenges of AI, their role in cybersecurity, and how criminals can abuse this technology. Cyberattacks have been rising in frequency and scale for a few years now. We saw a sharp jump since the start of the notorious pandemic. With data security in more danger than ever, it's no surprise that more and more companies are turning to artificial intelligence in the hope of getting more powerful digital protection from hackers, phishers, and other cyber criminals.
In a 2017 Deloitte survey, only 42% of respondents considered their institutions to be extremely or very effective at managing cybersecurity risk. The pandemic has certainly done nothing to alleviate these concerns. Despite increased IT security investments companies made in 2020 to deal with distributed IT and work-from-home challenges, nearly 80% of senior IT workers and IT security leaders believe their organizations lack sufficient defenses against cyberattacks, according to IDG. Unfortunately, the cybersecurity landscape is poised to become more treacherous with the emergence of AI-powered cyberattacks, which could enable cybercriminals to fly under the radar of conventional, rules-based detection tools. For example, when AI is thrown into the mix, "fake email" could become nearly indistinguishable from trusted contact messages.
The company is a late-stage cybersecurity startup that helps organizations secure their data using AI and machine learning. In an S-1 filing, the security company revealed that for the three months ending April 30, its revenues increased by 108% year-on-year to $37.4 million. Furthermore, its customer base grew to 4,700, up from 2,700 a year prior. However, SentinelOne's net losses were more than double from $26.6 million in 2020 to $62.6 million. We also expect our operating expenses to increase in the future as we continue to invest for our future growth. Including expanding our research and development function to drive further development of our platform.