Artificial Intelligence and Cybersecurity

LLMs are uniquely positioned to take on the challenge of predicting potential intrusion attempt patterns across endpoints using collected attack data.

The next few years will see AI tip the scales back and forth between threat actors and security teams protecting the enterprise. Collaboration with government is key to the tech industry coming out ahead.

GitHub’s chief security officer says AI won’t replace the need for security teams, but it will greatly enhance their work.

AI and ML are core to zero trust, strengthening cybersecurity by scaling data analysis volume while increasing response speeds.

Machine learning should be considered an extension of — not a replacement for — existing security methods, systems, and teams.

The need for AI-powered tools is only going to become more urgent as high-severity malware becomes more prevalent.

It doesn’t take a human mind to produce misinformation convincing enough to fool experts in such critical fields as cybersecurity.

When it comes to cybersecurity, some of us have more trust in machines than humans.

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

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.

Machine learning is the latest buzzword in the security world. But what does it actually do? And will it really make human analysts redundant?

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

Why AI is crucial to cyber security

Generative AI tools help bad actors easily craft sophisticated attacks. CISOs are investing in AI-native cybersecurity solutions to fight back.

Generative AI holds immense potential for the future of cybersecurity. By harnessing its ability to process and analyze vast amounts of data, it's capable of transforming how we detect, investigate, and respond to cyber threats.

With today’s large language models, we can create a new type of tool that securely applies the power of AI to an organization’s data.

When it comes to cybersecurity, artificial intelligence is increasingly being seen as a valuable tool. Let's dig deeper into how AI can help the world.

Experts give their take on the state of automated cyber security, and what tools they think most businesses should be looking at

Solution saturation is prevalent in many organisations right now. Where historically they may have opted to adopt new tools in order to deliver quick fixes and plug gaps, this can culminate in security postures built on tens of different solutions from tens of different vendors.

There is a tendency to believe that artificial intelligence can solve all problems associated with enterprise security programmes. While there is a lot to gain from AI, there is a danger that companies are overly optimistic about exactly what the technology can deliver.

It is time to discuss how this technology can and should be applied to our cybersecurity efforts, both from technical and functional perspectives.

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.

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

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

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