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) …
Overview The goal of artificial intelligence is to enable the development of computers to do things normally done by people -- in particular, things associated with people acting intelligently. In the case of cybersecurity, its most practical application has been automating human intensive tasks to keep pace with attackers! Progressive organizations have begun using artificial intelligence in cybersecurity applications to defend against attackers. However, on it's own, artificial intelligence is best designed to identify "what is wrong." What today's enterprise needs to know is not only "what is wrong" in the face of a breach, but to understand "why it's wrong" and "how to fix it!"
Historically, the MixMode platform has provided its users with a forensic hunting platform with intel-based Indicators and Security Events from public & proprietary sources. While these detections still have their place in the security ecosystem, the increase in state-sponsored attacks, insider threats and adversarial artificial intelligence means there are simply too many threats to your network to rely on solely intelligence-based detections or proactive hunting. Many of these threats are sophisticated enough to evade traditional threat detection or, in the case of zero-day threats, signature-based detection may not even be possible. In the face of this growing threat, the best defense is to supplement these traditional methods with anomaly detection, a term that is quickly becoming genericized as it is rapidly bandied about within the industry. Here we will discuss some of the opportunities and challenges that can arise with anomaly detection as well as MixMode's unique approach to the solution.
Born out of the degradation of AI-powered devices, malicious intelligence has the capacity to be a real threat to the modern-day business ecosystem. It's true, there are plenty of AI applications that play a useful and critical role but focusing on the benefits of AI while forgoing the dangers is unwise. We can't say we haven't been warned. The best and brightest continue to make bleak predictions about AI-usage and the dangers of ignoring the threats that the technology poses. Elon Musk said: "I think we should be very careful about artificial intelligence. If I had to guess at what our biggest existential threat is, it's probably that."
Artificial intelligence (AI) and machine learning (ML) are being heralded as a way to solve a wide range of problems in different industries and applications, such as reducing street traffic, improving online shopping, making life easier with voice-activated digital assistants, and more. The cybersecurity industry is no different. However, we need to be careful of the "hype" around AI and ML. And there is a lot of hype out there! A simple Google search of the term "artificial intelligence" yields about 630 million results, and AI continues to dominate the headlines and has even made its way into mainstream TV advertising.
Artificial intelligence (AI) is the foundation for simulating human intelligence methods by creating and applying algorithms. The technological advancements in this field have led to the adoption of this technology in various industries including healthcare, education, finance, and marketing and it has proven itself to be the most effective technology in modern times. This technology is now being used to prevent cyber-attacks in major organizations. As cybercrimes are increasing in number and complexity, AI is aiding in identifying these attacks and attacking them. AI technologies like Machine Learning and Natural Language Processing allow security analysts to counter such threats immediately.
UTSA will design data driven approaches and AI to better identify and mitigate cyber threats for IOT devices including smart meters. Through the strategic alliance between the Texas Sustainable Energy Research Institute (TSERI) at UTSA and CPS Energy, three new projects totaling approximately $750,000 will focus on improving grid security and resilience, solar energy generation and more efficient technology for power generation. "We are thrilled to embark on these three new projects that aim to contribute to CPS Energy's position as a key player in the new energy economy," said Krystel Castillo, TSERI Director. "We have been able to build knowledge and grow innovation through our partnership with UTSA over the past decade," said Cris Eugster, CPS Energy's Chief Operating Officer. "We expect these new projects to also bring new insights that will help us plan for the future of energy."
What is the impact of Artificial Intelligence (AI) on our lives? How can we combat increasing cyberattacks? Is the threat to digital privacy real? Co-written by Carlon Ann Browne, director of communications at Microsoft, the book released on September 10. The book claims not to be a self-glorifying "Microsoft memoir", but a "candid and eye-opening investigation into the most divisive issues facing tech companies and governments today -- cyberwar, privacy, mass surveillance, undermining of democracy, AI, diversity".
Artificial intelligence can help us cope with the growth of work. Whether its Amazon drones putting couriers out of business, AI-powered health checkers diagnosing patients in hospitals, or algorithms at Microsoft providing the perfect recipe for whisky, the growing threat of artificial intelligence (AI) as a global job killer has been a prevailing media story that seems just too good to be false. But the rhetoric is not supported by most recent studies, which suggest that while skill shifts across all industries will certainly be considerable, net job loss over the next 15 years is likely to be negligible. Well, many assumptions imbedded in the "automageddon" narrative are highly questionable: that automation creates few jobs whether short or long term, that whole jobs can be automated, that the technology is perfectible, that organizations can seamlessly and quickly deploy AI, that human thought and action can be replicated, and that it is politically, socially and economically feasible to apply these technologies. Then there are the macro factors.
Editor's Note: Hamsa Srinivasan contributed to this article. Most organizations have robust cybersecurity initiatives in place. However, it's no secret that such initiatives are not fool-proof. As the sophistication and complexity of cyber attacks increase, application security needs to rely on dynamic processes that can respond to more significant, rapidly-evolving threats. As the number of applications running on the cloud and mobile devices increases, security needs to be more pervasive and intelligent than ever.
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