It’s no debate that artificial intelligence has both positive and negative impacts when used to defend against cyber attacks. One way to deal with it is to combine traditional techniques with AI tools when developing a cyber security strategy.
Recent German privacy case has led to Amazon, Google and Apple stopping human review of recordings from voice assistants. Will this change the game for the technology or should users give up their privacy for better experience?
Just a few simple strings on malware are all it takes to defeat Cylance antivirus software. This is a crushing blow for those who predicted AI and machine learning are the future of antivirus protection.
Deepfake audio is becoming the powerful new tool to perform AI cyber attacks by impersonating executives to convince employees to authorize money transfers.
Edge computing eliminates latency and brings information closer to the location of where it is needed instead of far away servers, it provides performance benefit and gives the control of data privacy back to users.
The IT security industry is facing a new wave of hacking through smart technology, machine learning, and artificial intelligence where hackers will unleash unethical tactics to target and manipulate individuals and organizations.
Find out what's the current capabilities of AI in the fight against online payment fraud, where human expertise fits into the current fraud-prevention ecosystem, and what’s on the horizon as AI improves.
Putting in place people-focused security and risk policies in a contextual and transparent way without getting in the way, companies can create a flexible, secure environment and superior employee experience in the digital era.
According to a research firm, Allied Market Research, the global artificial intelligence market is projected to garner $169.41 billion by 2025, registering a compound annual growth rate (CAGR) of 55.6% through 2025.
Deepfakes are a relatively new phenomenon, first starting to emerge on the internet in late 2017 but techniques to replace one face with another in a very realistic and natural-looking way have been available for years now, so why is there such a panic brewing over deepfakes?
