How do we prevent AI from being used as a tool for cyberattacks? We need to come up with ways to keep AI under control and stop hackers from manipulating automated computer systems and cause them to take actions they were never intended to take.
It's now possible for artificial intelligence (AI) programming systems to create false information and present it as fact – and even trick cybersecurity experts into thinking the information is true.
EU officials are considering wide-ranging regulation that would include heavy restrictions on a range of "high risk" AI applications; a leaked document also indicates that a facial recognition ban is being proposed.
Little-known private network of surveillance cameras called TALON has quietly taken hold in neighborhoods throughout the country with AI-enabled cameras have the ability to recognize objects (and people).
Third wave AI cybersecurity uses a proactive, singular AI algorithm applied to all data on the network and is a predictive approach that alerts analysts before an attack occurs.
Businesses face challenges in handling unstructured data and staying compliant with privacy regulations. With newer approaches, AI will be able to assist much better in data governance tasks.
Phishing websites are increasingly more deceptive but AI can utilize computer vision to ensure pages that would otherwise deceive end-users are detected and stopped in their tracks.
Largest cyber attack in history has been predicted to happen soon, companies should look into using AI based cybersecurity systems to decrease their probability of this attack.
The Clearview AI facial recognition system has been criticized for infringing the privacy of individuals and assertions of racial and gender bias. Get the facts from a technology lawyer and police officer with hands-on experience with the tool.
Privacy is a key concern for mobile carriers when combining telco data with AI to create higher value intelligence entities while enforcing anonymized and filtered data.
