Artificial Intelligence and Cybersecurity

Global security teams are losing the data theft wars against sophisticated cyberattacks orchestrated by innovative, well-funded criminal organizations. New research from the Ponemon Institute, sponsored by Aruba, identifies the causes of IT security gaps and provides insights from 4,000 security pros on how they plan to restore network infrastructure integrity

AI can look for and predict potential identity theft attempts. In our constantly changing digital world, this is the new weapon against the criminals.

Using machine learning to automate attack detection and response, companies can have a quick and robust cyber defense system, one where security professionals work side-by-side sophisticated automated tools.

Although AI is poised to take a much larger role in cybersecurity future trends, this doesn't necessarily mean fewer opportunities for human analysts. In fact, it could mean quite the opposite.

L'intelligence artificielle offre depuis quelques années de nouvelles méthodes efficaces pour traiter de grosses masses de données et prendre des décisions.

The considerable number of articles cover machine learning for cybersecurity and the ability to protect us from cyberattacks. Still, it’s important to scrutinize how actually Artificial Intelligence (AI),Machine Learning (ML),and Deep Learning (DL) can help in cybersecurity right now, and what this hype is all about

As organization go through digital transformation the cyber challenges they face become more important.  Their IT systems and applications become more critical and at the same time more open.   The recent data breach suffered by British Airways illustrates the sophistication of the cyber adversaries and the difficulties faced by organization to prevent, detect and respond to these challenges.  One approach that is gaining ground is the application of AI technologie

This poses a dilemma for any organization facing pressure to embrace anytime, anywhere accessibility, the mobile workplace and real-time interaction with customers and employees—and that describes almost every organization today.

Artificial Intelligence (AI) is helping to prevent and detect crime from routine employee theft, frauds, insider trading and business risks like data security. AI tools allow organizations to detect suspicious patterns or relationships and predict the next moves of even unidentified criminals.

As long as intentionality remains an exclusively human trait of which AI is deprived on the global scale, the human factor will remain cybersecurity’s weakest link

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 power grid, oil and gas, and even existing telecoms are perfect targets for funding and development of these technologies.

Security has always been an arms race. But the addition of AI is like jumping from tomahawks to Tomahawk missiles.

Cybersecurity is drowning in today’s ocean of security-relevant data, but a surprising number of security teams have yet to integrate AI technology into

Organizations know the benefits, but they are also aware that today’s attackers have unique capabilities to cause destruction with that same technology. As a result, they’ve come to a point where they’re unsure if AI is a friend or foe

There is no argument artificial intelligence will have an impact on the cybersecurity skills gap. The question is how.

Humans and AI are doing so well separately on maintaining cybersecurity so far, but what if we combine the two? This is what MIT is actually doing and has achieved great results!

As hackers get smarter and more determined, artificial intelligence is going to be an important part of the solution.

Some 87% of companies use artificial intelligence in their cybersecurity strategy, according to Webroot.

One of the most common refrains about fighting in cyber space is that the offense has the advantage over the defense: The offense only needs to be successful once, while the defense needs to be perfect all the time. Even though this has always been a bit of an exaggeration, we believe artificial intelligence has the potential to dramatically improve cyber defense to help right the offense-defense balance in cyber space.

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.