Artificial Intelligence and Cybersecurity

Large language models may boost the capabilities of novice hackers but are of little use to threat actors past their salad days, concludes a British governmental evaluation

Despite the mounting anxiety about AI’s implications, the full extent of its potential misuse by attackers is largely unknown.

Breakthroughs in technologies built on large language models will accelerate the arms race between hackers and companies.

Artificial intelligence tools are helping companies improve cybersecurity, but hackers launching ransomware and phishing attacks have the same weapons.

Generative AI can enhance digital security, but it can’t — and shouldn’t — replace humans that are essential to fight malicious hackers.

Hackers can use generative AI to plan more effective attacks, but companies can use it to strengthen their cyberdefenses.

Like any tool, artificial intelligence has no innate moral value. AI’s usefulness or potential for harm comes down to how the system “learns” and what humans ultimately do with it.

Artificial intelligence-powered security tools should enable IT security teams to achieve more with less

At present, vendors are doing far more than hackers with AI. Not that we can expect it to stay that way forever...

The goal is to predict incidents in advance by tracing them back to the actual hijackers.

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?

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?

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?

Sophos X-Ops’ exploration of cybercrime forums suggests many threat actors are still skeptical – and wrestling with the same issues and problems as the rest

Seventy-six percent (76%) of cybersecurity professionals believe the world is very close to encountering malicious artificial intelligence (AI) that can bypass most known cybersecurity measures.

Hackers have their own version of ChatGPT: a chatbot that can help with malware and phishing called FraudGPT. Here's everything you need to know.

Security researchers are jailbreaking large language models to get around safety rules. Things could get much worse.

New research details how attackers can use AI-driven systems like ChatGPT in different aspects of cyberattacks including reconnaissance, phishing, and developing polymorphic code.

Organizations are leveraging AI-based tools to better detect threats, but cyber criminals are also using AI to launch more sophisticated attacks.

The hackers are starting to use AI, and the only way to successfully defend against future threats is for your company to use AI as well.

As manufacturers turn to advanced technologies to gain a competitive advantage, hackers see a similar opportunity to strike it rich.

To reach their potential, AI systems require a careful balance of machine learning and human intervention.

Businesses are in a cybersecurity arms race - harnessing AI to mitigate potential threats, but what if it falls into the wrong hands?

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.

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