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AI and the humans that work so closely with it will be able to complement each other's strengths and weaknesses. 
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AI is widely considered a powerhouse that has yet to unleash its full potential. But in the face of rising cybercrime rates, one question seems especially pertinent: is AI a solution for cybersecurity, or just another threat?
Scott Fuhriman's curator insight,
April 25, 2019 4:05 PM
The cat-and-mouse will continue between organizations and malicious actors both utilizing AI to protect and target. I see one impact to this endless game is an automated increase in game play speed. Will speed in the AI run world lead to automated mistakes?
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AI security expert Dawn Song warns that “adversarial machine learning” could be used to reverse-engineer systems—including those used in defense.
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Some 71% of businesses plan to use AI and machine learning in their security tools this year, though over half aren't sure what that tech really does, according to Webroot.
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Ahead of the industry’s largest trade show in San Francisco, vendors are already touting AI-based solutions meant to address one of the industry’s most pressing issues: a scarcity of workers qualified to defend against cyberattacks.
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AI and ML are often touted as silver bullets, but real-world applications for the technology seem thin on the ground.
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In public discourse, AI is being perceived as “something data, something neural network, and something black unbeatable magic”. We tend to ignore security issues of intelligence-based systems because it’s just too hard to believe that high performant detection system can be fool with some simple tricks
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Weaponized artificial intelligence is almost here. As algorithms begin to change warfare, the rise of autonomous weapons systems is becoming a terrifying reality.
jg's curator insight,
December 16, 2020 12:48 PM
Artykuł opisujący możliwe zagrożenia i konsekwencje wynikające z "uzbrajania" Sztucznej Inteligencji. Czyli o Autonomicznych Systemach Uzbrojenia (AWS).
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Companies are adopting machine intelligence even though there are still issues and questions regarding its performance, a new report on AI use in cybersecurity shows.
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Two new papers give an insight into how artificial technology will be used for cybersecurity in the future.
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AI technology brings benefits and can just as easily be used for malicious ends. Today, both cybersecurity experts and cybercriminals are using AI. Could it pose more of a cybersecurity threat than we think?
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Darktrace’s unsupervised-learning models sound the alarm before intruders can cause serious damage.
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Real-time, autonomous decisions are only some of the techniques AI can bring to the table.
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Cybersecurity can benefit immensely from AI and ML, but delivering predictive protection to thwart ever-evolving attacks needs an unwavering commitment in maintaining the quality and accuracy of data sets.
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Cybercriminals and malware developers are increasingly relying on ML tools. This is because ML can power new malware strains, target specific victims and extract valuable data, hunt for zero-day vulnerabilities, and help cybercriminals protect their own infrastructure, such as botnets.
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One school of thought says AI is the panacea for cybersecurity – and in particular the skills shortage – but this simply isn't the case.
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Use of artificial intelligence (AI) in cybersecurity is enabling IT professionals to predict and react to emerging cyberthreats quicker and more effectively than ever before. So how can they expect to respond when AI falls into the wrong hands?
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Cybersecurity is crucial for Governments. New advances in Cybersecurity, such as AI and Blockchain, can help governments building safer digital systems, their citizens can rely on.
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Cylance's Stuart McClure is on a personal mission to change anti-malware protection. After more than two decades in the industry, he believes malware attacks today can be prevented not with signature and heuristic files but with first-generation AI-driven anti-malware products.
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AI has shown incredible potential in countless applications and made our lives simpler. Now, adoption of AI for cybersecurity may end up taking care of all our cybersecurity concerns.
Joey Trotz IBM's curator insight,
February 5, 2019 12:33 PM
There is real potential for AI specialists to expand into internet malware detection. The market for this is only expanding.
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Tech companies and start-ups are now turning to machine learning algorithms to detect and stop cyber criminals
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Machine-learning algorithms watch hackers’ behavior and adapt to their evolving tactics.
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Machine learning is the latest buzzword in the security world. But what does it actually do? And will it really make human analysts redundant?
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The reach of artificial intelligence will affect many areas of technology, but its presence will be acutely felt within both cybersecurity threats and the strength of systems to protect against threats.
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Given their nature for self-learning, AI systems have now reached a level where they can be trained to be a threat to systems i.e., go on the offensive. Hence, we should be aware of different threats that AI poses on cybersecurity and how we should be careful while dealing with it.
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