Artificial Intelligence and Cybersecurity

Organisations look to AI and machine learning to better secure their businesses.

Much of what we hear about artificial intelligence and machine learning in security products is steeped in marketing, making it hard to know what these tools actually do. Here's a clear-eyed look at the current state of AI & ML in security.

Industry experts from Coalfire, IEEE and more discuss how AI is shaping the future of IT security.

We've only seen the beginning of what artificial intelligence can do for information security.

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.

The hype around artificial intelligence may be putting businesses at risk, according to a study that found most IT decision-makers believe AI is the answer to all cyber security challenges.

Companies are using it for everything from routine theft to insider trading.

Machine learning and artificial intelligence can help guard against cyberattacks, but hackers can foil security algorithms by targeting the data they train on and the warning flags they look for.

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?