About this time every year, Amazon announces a slew of new products. Some of them are fairly normal: new Echo speakers, smart screens, video doorbells. But sometimes the company will roll out something truly bonkers, like a flying home security drone or a Roomba-like robot with an extending periscope camera that wheels around your house. Outlandish or otherwise, the company's output offers a look at where it's headed. And this year, Amazon seems increasingly intent on becoming a home security company.

In 2021, more firms will employ AI to battle cyberattacks, trying to gain an edge in a game of one-upmanship with hackers and attackers. A survey of 20 cybersecurity experts recently surveyed by Forbes showed some patterns. For example, open source software can be an easy way into organizations. Gaining more visibility into open source contributions is possible with the use of AI and machine learning, according to Maty Siman, CTO of Checkmarx, a software security company based in Ramat Gan, Israel. "Rarely does a week go by without the discovery of malicious open source packages," Siman stated.

My passion for security came to the forefront when I ran the Security business at Juniper. Given this confluence of factors, the opportunity to apply Artificial Intelligence (AI) to dramatically innovate how we could detect and respond to advanced attacks (the new norm), created an incredible opportunity to build a next-generation security company. Which directly led to the creation of Vectra. Digital Transformation can become a task rife with complexities and it is no surprise that security risks become a byproduct of that. Effective Network Detection and Response (NDR) provides visibility that simplifies complexity, replacing it with the confidence that a customer's security capabilities will enable, not inhibit, their journey – legacy methods disproportionately focused on prevention are brittle and frankly designed in such a way that makes this journey needlessly costly and difficult.

Frost & Sullivan's has published a new report, Artificial Intelligence (AI)-based Security Industry Guide. The report examines smarter security frameworks, use cases of AI-based security solutions and profiling of AI-/ML-driven and AI-/ML-centric cybersecurity companies in the Asia-Pacific market. Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly adopted across a wide range of industries. The multifaceted benefits of the technologies span predictive outcomes to advanced data analytics. AI-based cybersecurity has the potential to augment the capabilities of staff and help organizations better manage cyber threats. Digital transformation is a priority for a majority of enterprises in the Asia-Pacific region.

Michael Kwet is a Visiting Fellow of the Information Society Project at Yale Law School. He is the author of Digital Colonialism: US Empire and the New Imperialism in the Global South, and hosts the Tech Empire podcast. "Beggars" and "vagrants" are not welcome in Parkhurst, South Africa, a mostly white, middle-class suburb of about 5,000 on the outskirts of Johannesburg's inner city. Criminals are on the prowl, residents warn, and they threaten their neighborhood security. To combat crime, the locals came up with a solution: place CCTV surveillance cameras everywhere. However, these are not the camera networks of times past. Thanks to advancements in machine learning and AI, CCTV systems are now equipped with sophisticated video analytics that can track a wide range of behaviors, objects, and patterns, in addition to individual faces. Armed with powerful new tech, communities of color can be watched, flagged, policed, and intimidated into submission. I've spent the past several years studying the video surveillance industry in South Africa. During that time, a private corporation called Vumacam has been quietly assembling a "smart" CCTV surveillance network in the suburbs of Johannesburg. Earlier this year, the company announced it would blanket Joburg with 15,000 cameras.

The "Artificial Intelligence (AI)-based Security Industry Guide" report has been added to ResearchAndMarkets.com's offering. Artificial intelligence (AI) and machine learning (ML) have been adopted widely across industries over the years due to the multifaceted benefits that the technologies bring about. AI and ML have been also increasingly adopted across industries, from such as healthcare, education, information and communication technologies (ICT), logistics, maritime, aviation, aerospace and defense, entertainment and gaming. Particularly, AI and ML have been used widely in cybersecurity industries, by both hacking and security communities, making the security landscape even more sophisticated. Many organizations, regardless of size, are now facing greater challenges in day-to-day security operations.

Cybersecurity used to exist in the realm of science fiction. Think retinal scans from Star Trek. I cut my teeth on Star Trek and I'm still holding out for a Tricorder during my lifetime. In the present, we live a hyper-connected life, with technology informing everything we do. We use smart devices like phones and watches.

Artificial intelligence is emerging as a useful cyber security tool, but experts are warning companies not to view the technology as a "silver bullet". Many elements of cyber defence -- particularly monitoring large amounts of data -- can be better handled by machines than humans. "It's not so much that AI does it better, but that it works unendingly and consistently without getting tired," says Daniel Miessler, director of advisory services at IOActive, a cyber security consultancy. At present, most security teams are only looking at "a tiny fraction -- less than 1 per cent" of the data their organisations are producing, he says. In a large organisation, analysing the rest is such a monumental task that it can quickly overwhelm humans.

The thought of leveraging immediate technology solutions reflects both men's professional backgrounds: Button owns a telecom company, and Crane is director of sales, network security, and cloud management for a cloud-computing subsidiary of Dell Technologies. So far, their startup, Shielded Students, has enlisted three security companies: an emergency response coordination service and two that make gun detection systems. One of these systems, developed by Patriot One Technologies in Canada, integrates a microwave radar scanner with a popular artificial intelligence (AI) technique that is trained to identify guns and other hidden weapons. Shielded Students hopes to combine these and other solutions into a package that can help prevent another mass shooting like the one that killed Luke and 16 other people. "I can tell you with a lot of confidence that this technology, incorporated into Marjory Stoneman Douglas, would have probably saved all 17," Button said, "including my nephew–who was one of first people shot."

After reading several articles describing the methods hackers are using machine learning to infiltrate companies' critical systems, I decided to reach out to a world-renown security expert to parse the facts from the hysteria. Giovanni Vigna, Co-Founder and CTO of Lastline Security, is also a tenured Professor within UC Santa Barbara's Computer Science Department. Giovanni has been working at the highest levels of computer security for over 25 years. Giovanni, along with his Shellphish team, organized the preeminent International Capture The Flag white-hat hacker competition more than a dozen times and participated in DARPA's Cyber Grand Challenge, which saw completely autonomous systems, driven by AI, competing against each other in a cybersecurity competition, without humans involved. In addition, Giovanni has been employed by, and received grant money from, some of the most security-conscious organizations on the planet, such as the National Science Foundation, DARPA, the Office for Naval Research, Google and Intel.