If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
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).
Of all the perils he faced during World War II, Winston Churchill said German submarine wolfpacks were his greatest concern, because their attacks on merchant ship convoys threatened to choke Britain's economic lifelines. Today, it seems there is another emerging undersea threat, one that has the potential to disrupt the global economy by severing fiber-optic lines of communication that run along the world's various seabeds. There are nearly 400 undersea cables that stretch for almost three-quarters of a million miles, the densest concentrations of them being in the North Atlantic and the North Sea, the Mediterranean, and in Southeast Asia and around Japan. They carry virtually all (97%) international communications, and their exact locations are reasonably well-known. They are also increasingly vulnerable to being tapped or even cut by advanced submarine craft of a range of types, from manned mini-subs to remotely operated undersea drones, and even fully autonomous "U-bots."
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.
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?
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.
A new report suggest machine learning could help in the fight against cyberattacks, but cautions that AI is far from a panacea. Why it matters: Attacks, including ransomware, have been on the rise across a variety of industries and institutions. Several factors have led to the increase in attacks, including the digitization of more of the economy, the growing role of cyber attacks as part of international politics and a lack of security experts, according to the report from the Center for Security and Emerging Technology. "Machine learning can help defenders more accurately detect and triage potential attacks," CSET said in its report. "However, in many cases these technologies are elaborations on long-standing methods -- not fundamentally new approaches --that bring new attack surfaces of their own."
Global catastrophes have historically brought moments of truth for all fields of business. In such times, their inner workings, strengths and weaknesses are laid bare for the whole world to see, as organizations rapidly alter their processes to come to terms with the new reality. Businesses that can make bold moves during such challenging times can quickly turn the misfortune into a benefit. So early indications are that businesses that value information as a currency, and have been quick to adapt machine learning and advanced data analytics, have emerged better from the economic aftermath of the pandemic. The coronavirus pandemic that continues to ravage the world has forced small businesses into building online ventures.