Artificial Intelligence and Cybersecurity

A biased program may end up focusing on the wrong priorities and could miss the real threats.

Security is certainly a topic which is top of the agenda for almost everyone in the technology world, but it is quickly becoming apparent it will be impossible without AI.

With the use of AI growing in almost all areas of business and industry, we have a new problem to worry about – the “hijacking” of artificial intelligence. Hackers use the same techniques and systems that help us, to compromise our data, our security, and our lifestyle.

Malware controlled by artificial intelligence could create more convincing spam, avoid security detection, and better adapt itself to each target, says a new report from Malwarebytes.

When trained properly by experts with data science and cybersecurity expertise, AI/ML can be an important addition to the cybersecurity defense-in-depth arsenal. However, we are still far away from naming AI/ML the panacea for preventing all cyber threats.

The widely adoption of digital technologies in our daily lives means greater perils for which most of us are underprepared. We have adopted behaviours to protect ourselves in the analogue world throughout years of evolution, which has worked just fine until now. In the digital, nonetheless, we are still falling behind

AI often falls short when it comes to cybersecurity, but the benefits can be significant when done correctly

Cybersecurity can benefit immensely from AI and ML, but delivering predictive protection to thwart ever-evolving attacks needs an unwavering commitment in maintaining the quality and accuracy of data sets.

Cybercriminals and malware developers are increasingly relying on ML tools. This is because ML can power new malware strains, target specific victims and extract valuable data, hunt for zero-day vulnerabilities, and help cybercriminals protect their own infrastructure, such as botnets.

One school of thought says AI is the panacea for cybersecurity – and in particular the skills shortage – but this simply isn't the case.

Use of artificial intelligence (AI) in cybersecurity is enabling IT professionals to predict and react to emerging cyberthreats quicker and more effectively than ever before. So how can they expect to respond when AI falls into the wrong hands?

Cybersecurity is crucial for Governments. New advances in Cybersecurity, such as AI and Blockchain, can help governments building safer digital systems, their citizens can rely on.

Cylance's Stuart McClure is on a personal mission to change anti-malware protection. After more than two decades in the industry, he believes malware attacks today can be prevented not with signature and heuristic files but with first-generation AI-driven anti-malware products.

European research group says attacks against AI systems are already occurring, difficult to identify, and could be far more common than currently understood.

It’s no news that advances in AI and machine learning have enormous transformative potential for cybersecurity defences. However, rapid advances in technology also result in big opportunities for hackers to get smarter and faster. So, when it comes to cybersecurity, is AI a friend or foe?

Technology progresses daily and with this progression come threats and risks to social, financial and economic life. Today, cyber-attackers have resorted to the use of automation to launch more frequent attacks on different businesses and corporations.

Technology continues to shape human conflict and artificial intelligence will be no exception, so business needs to up its ability to detect attacks and respond, says security expert.

While AI is being leveraged in a wide number of areas, cybersecurity is one that has received special attention because of the rate at which threats are evolving and the volume of attacks. Organizations require a solution that can keep up. AI sometimes is championed as that solution – a silver bullet that will “solve” cybersecurity. While that isn’t the case, AI is an exciting technology that provides some real-world benefits today, and promises to have even greater potential for the future.

Having AI as potential replacement for overworked humans to ensure that threats and breaches are detected and mitigated in real time without any manual forensic analysis and decision-making – that would be awesome, wouldn’t it? Alas, people waiting for solutions like that need a reality check.

AI and the humans that work so closely with it will be able to complement each other's strengths and weaknesses.

AI is widely considered a powerhouse that has yet to unleash its full potential. But in the face of rising cybercrime rates, one question seems especially pertinent: is AI a solution for cybersecurity, or just another threat?

AI security expert Dawn Song warns that “adversarial machine learning” could be used to reverse-engineer systems—including those used in defense.

Some 71% of businesses plan to use AI and machine learning in their security tools this year, though over half aren't sure what that tech really does, according to Webroot.

Ahead of the industry’s largest trade show in San Francisco, vendors are already touting AI-based solutions meant to address one of the industry’s most pressing issues: a scarcity of workers qualified to defend against cyberattacks.

AI and ML are often touted as silver bullets, but real-world applications for the technology seem thin on the ground.