Artificial Intelligence and Cybersecurity

The nightmare scenario for computer security - artificial intelligence programs that can learn how to evade even the best defenses - may already have arrived.

There is a tremendous amount of potential for machine learning and cyber security within the enterprise. In order for machine learning to live up to the hype, it will need to offer a fully robust security solution and plenty of organizations are now betting that machines will be up to the task.

Spectacular recent developments in Artificial Intelligence (AI) are feeding many fantasies in the world of cybersecurity. Almost everything can be heard on the topic. It often feels very complicated for executives to prepare themselves for what’s ahead.

Deep learning is making waves in the community but an often overlooked aspect is using it against adversarial attacks. In this article, we explore how we can leverage it to fight off cyber attacks, and take a case study to illustrate this.

Rambus' Asaf Ashkenazi offers steps to help businesses avoid hefty legislative fines and get back to innovation and growth, capitalizing on the promise of AI and IoT unhindered by cyberattack.

The continual increase in security threats combined with an overwhelming amount of data and false positives is creating major headaches for IT security teams

Cybercriminals are already manipulating AI to hack valuable data. Get ahead of the game and start integrating artificial intelligence in your cybersecurity strategy.

In this war, the winner will be the one with the most information, the one who collaborates the most.

Who will win the race to adopt artificial intelligence for cyber warfare--the defenders of vulnerable corporate networks or the cyber criminals constantly inventing new ways to attack them?

Last year, two data scientists from security firm ZeroFOX conducted an experiment to see who was better at getting Twitter users to click on malicious links, humans or an artificial intelligence. The researchers taught an AI to study the behavior of social network users, and then design and implement its own phishing bait. In tests, the artificial hacker was substantially better than its human competitors, composing and distributing more phishing tweets than humans, and with a substantially better conversion rate.

It would be foolish to assume that attackers and intruders would forgo such an effective tool as AI to make their exploits better and their attacks more intelligent.

Real-time identification- utilizing a deep learning prediction model- prevents known and unknown malware from causing harm

Quelle méthode pour faire de la France un leader mondial en intelligence artificielle ?

ESET study reveals the security hype machine is having an effect

Like any technology, AI and machine learning have limitations. Three are detection, power, and people.

Artificial intelligence's ability to learn will be key in cyberdefence and attack

If we don’t harness the power of artificial intelligence into cybersecurity then, hackers will eventually do this. Now to look at AI as a disruptor Cyber security has to keep up with technological advancements and use the power of AI to stay relevant.

With global cyber attacks like WannaCry and NotPetya affecting hundreds of thousands of people, the cybersecurity industry needs to arm itself with new technologies, or risk being overrun.

The use of AI and machine learning in cybersecurity gains ground, as CIOs figure out what these intelligent tools can and cannot do to mitigate threats.

Enterprise attacks are far more ruthless today than ever. This puts more pressure on enterprise to sanitize and secure their footprint. See how modern technologies like AI and machine learning are being used to create front-of-the-line defenses to protect enterprises and their data from prying eyes.

There are a ton of claims around AI and cybersecurity that don't quite add up. Here's what's really going on.

We detail how cybersecurity startups are using AI to take a new approach to counter some of the most significant cyber threats.

A huge data set will help train algorithms to spot the nasty programs hiding in our computers.

While all other tech sectors are driven by reducing inefficiencies and increasing productivity, cybersecurity spending is driven by the sharp rise in cybercrime.

LE CERCLE/POINT DE VUE - L'intelligence artificielle soulève trop de fantasmes et suscite nombre de prophéties déconnectées de la réalité technologique.