A proactive and dynamic response to digital identity security is now critical. Latest figures from fraud prevention organisation Cifas show there has been a sharp rise in identity fraudsters applying for loans, online retail, telecoms and insurance products. Simon Dukes, chief executive of Cifas, says: "We have seen identity fraud attempts increase year-on-year, now reaching epidemic levels, with identities being stolen at a rate of almost 500 a day." Proving your identity has always been essential, but none more so than across the digital landscape. It's not surprising that artificial intelligence (AI) and machine-learning are being rapidly developed as an aid to identity authentication.
The 100 startups on our list have raised $11.7B in aggregate funding across 367 deals since 2012. Today, CB Insights unveiled the second annual AI 100 -- a list of 100 of the most promising private companies applying artificial intelligence algorithms across 25 industries, from healthcare to cybersecurity -- at the A-Ha! conference in San Francisco. The companies were selected from a pool of 2,000 startups based on several criteria, including investor profile, tech innovation, team strength, patent activity, mosaic score, funding history, valuation, and business model. The market map below categorizes the AI 100 companies based on their industry focus. Please click on the image to enlarge.
"Critical component" Some 91 percent of cybersecurity professionals are worried that next-generation cyberattacks will be based around AI, a study from Webroot found. As TechRepublic reports, most of the experts surveyed said they will defend against AI-based attacks using more AI. Almost all the businesses (99%) intending to use AI are optimistic it will improve their cybersecurity responses. The technology is being used in three key ways to augment existing anti-malware solutions. These percentages aren't the same across the globe.
Technological advances in artificial intelligence are fuelling a new race between hackers and those toiling to protect cybersecurity networks. Cybersecurity is always a race between offence and defence but new tools are giving companies that employ them a leg up on those trying to steal their data. Whereas past responses to cybercrimes often looked for known hacking methods long after they occurred, AI techniques using machine learning scan huge volumes of data to detect patterns of abnormal behaviour that are imperceptible to humans. Experts expect machines will become so sophisticated that they'll develop answers to questions that humans won't clearly understand. David Decary-Hetu, assistant professor of criminology at the University of Montreal, says defenders have an edge right now in using artificial intelligence.
The internet of things (IoT) promises many advantages - smart cities with integrated transport systems, for instance - but it comes with a significantly increased cybersecurity risk. So how should we be tackling this new threat? Christoph Brandstatter is managing director of the four-star Seehotel, Jagerwirt, in Austria's Alps. His hotel's electronic door locks and other systems were hacked for ransom four times, between December 2016 and January 2017. "We got a ransomware mail which was hidden in a bill from Telekom Austria," says Mr Brandstatter.
As Feds get smarter about Artificial Intelligence on the cyber frontier, seems agencies' IT defenders are suffering from schizophrenia about cyber cyborgs. That's the topline takeaway from the new MeriTalk "Federal Cyber AI IQ Test" study. Where 90 percent of cyber folks swoon about AI as the fix for the cyber sieve, almost half of Feds suffer AI anxiety disorder. With the exponential increase in cyber attacks and insider-threat nightmares, now's a fascinating time to consider AI's role in cybersecurity. We see Kevin Cox and the CDM program office exploring AI–and every cyber vendor's touting its new AI pixie dust.
When Apple unveiled the iPhone X, it catapulted artificial intelligence and machine learning into the limelight. Facial recognition became a mainstream reality for those who can afford it. A few months later, Vietnamese cyber security firm Bkav claimed it was able to bypass the iPhone X's Face ID using a relatively inexpensive $150 mask. The claim is still up in the air and while it has not been accepted to its full extent, no one was actually able to refute the claim based on scientific facts. For anyone dealing in AI and security, it emphasized what many of us have held true for a while.
More than 90% of cybersecurity professionals are concerned that hackers will use artificial intelligence (AI) in cyberattacks against their company that are more sophisticated and harder to detect, according to a new report from Webroot. AI has already proven to be both a benefit and a threat on the cybersecurity front: While the technology can help companies fill cybersecurity skills gaps and safeguard data, it also gives hackers a new tool for attack. In August, researchers created an AI that could modify malware to bypass machine learning antivirus software. Common cyberattacks such as phishing also become much more effective when they are powered by AI, according to ZDNet. Webroot surveyed 400 cybersecurity professionals at companies with 100 or more employees in the US and Japan.
Nov. 21, 2017 -- ERPScan, the most innovative ERP cybersecurity provider, announces the release of the first and only AI-driven SAP cybersecurity platform at "Cybersecurity for SAP Customers" conference in Las Vegas. The new platform leverages Machine Learning and Deep Learning to provide predictive, preventive, detective and responsive capabilities thus covering all aspects of SAP Security in one platform. Gartner predicted, "Through 2022, AI will be a major battleground for technology leadership," and we already started to drive it . While cyberattacks are looming large over enterprises, it is inappropriate to rely on the detection and patching of vulnerabilities alone but crucial to detect any potential attack. Business applications are customized in the way that building the signature-based threat detection is ineffective, and, as a matter of fact, traditional approaches can hardly help.
Investment in Big Data and AI shows no signs of slowing down. Here are some of our predictions for the year to come... Whilst we're still a far cry from the hyperbolic envisioning of robots taking over our jobs and being cast into a pit of uncertainty, there is evidence to suggest that cognitive technologies are on the rise, and Big Data is helping this. The use of technology for performing more'human' tasks is growing rapidly and is set to continue to grow well over the coming years, technology is being used more for tasks we always considered'human', like planning, strategizing and facial recognition for example. As we've seen in 2017, creative industries are succumbing to this'take over' in areas like writing music and literature. Forrester has even predicted that in 2018, automation will take 9% of US jobs, and will create 2%.