Staying at the bleeding edge of innovation is the only way to outpace attackers. However, most organizations are settling for a mitigation approach to cybersecurity which only engages once the adversaries have breached the perimeter. Attacks then need to run before they’re picked up and checked to see if they’re malicious, sometimes taking as long as 60 seconds. When dealing with an unknown threat, 60 seconds is too long to wait for analysis. A prevention approach is far more effective, explains Brooks Wallace, VP EMEA at Deep Instinct, as it operates on the basis that the attackers are not permitted to come within arm’s length of the network perimeter. And at the centre of this approach is deep learning.
Alexander Moiseev Chief Business Officer at Kaspersky outlines how ‘ontology’ (a formal process of categorising and drawing relationships in data) holds huge potential to accelerate cybersecurity.
Fabien Cros, Data Consulting Director, Artefact, describes a seamless world where a sales team can operate via a centralised sales command centre (SCC), and more importantly, how this world is adaptable now.
Is AI innovation slowing, or are we just now becoming familiar with the term? Is its association with the mundane diminishing strong AI?
Mine has developed a tool that can show you your data footprint, enabling you to take control
How far away are we from uploading ourselves to the cloud? We asked AI expert Ian Rowan to break down five uses of AI in Netflix’s Black Mirror.
Software engineer Nick Bild created sunglasses with a difference: these AI shades can react to motion gestures. We spoke to him to find out more about them.
What if insurance claims could be made based on data drawing from millions of images? Meet Tractable, the AI company reimagining an industry with technology.
Monzo is changing perceptions of financial institutions, one pink card at a time. We speak to their machine learning lead on how AI is transforming banking.
Google has announced a new machine learning model for tracking hands and recognising gestures, giving once soundless sign language a voice.
EmoNet is an AI developed by researchers from the University of Colorado and Duke University and designed to identify 11 different emotions just from a picture.
More and more businesses are relying on chatbots to offer a service. Are we losing the human touch, or will powerful AI mimic humans so well that we have no idea we’re talking to a bot?
Huddly is an AI-powered video camera that’s shaking up conferences around the world. What makes it so special? We spoke with the company to find out.
Fake news is a relatively new term for an ancient problem. With social media, it’s even easier to spread lies. Now, Twitter hopes deep learning could end it.
Could a Tesla drive you while you sleep? After reports of drivers falling asleep in autonomous vehicles, we spoke to roads expert Charlie Henderson.
Many feared that the internet would kill albums. Cherry-picking highlights from an LP is now common and AI is central to the next chapter in music’s evolution.
It seems like yesterday that we received 4G, right? With 5G’s launch, it’s not just phones that will benefit: AI…
AI can believably replace anyone’s face in any video, with the President of the United States. Scary? This is called “deepfake” and AI is getting better at it.
Cars cannot deliver packages alone. Autonomous vehicles may seem perfect for online shopping but getting a parcel to a door requires human input. Or does it? This is the thinking behind Ford’s ambitious new robotic project.