Cybersecurity Expert

We’re getting good at writing policies about how AI should be used. Responsible AI principles. Acceptable-use policies. AI risk frameworks. Approval processes. Governance committees. All of these have a place. But there is a harder question that I think organisations need to start asking: What evidence proves those controls actually work? Because AI is changing the nature of the control problem. We are moving from AI that simply provides information to AI that can increasingly access data, make decisions, call tools, trigger workflows and take actions. And much of our traditional assurance thinking still assumes there is a human sitting somewhere in the process. That assumption is becoming increasingly uncomfortable.  Autonomy is scaling faster than assurance Consider a relatively simple AI agent. It might be able to: Read information from internal systems  Search documents and databases  Make decisions based on predefined criteria  Trigger workflows  Create or...

The recent decision by the U.S. administration to lift restrictions on Anthropic’s frontier AI models has generated plenty of debate. Some have questioned whether the original restrictions were justified, while others argue they reflected legitimate concerns about the cybersecurity capabilities of increasingly powerful AI systems. Regardless of where you stand, I believe the real story lies elsewhere. This is one of the clearest examples yet of governments treating AI models as technologies with potential national security implications rather than simply another software product. That should make every cybersecurity leader take notice. AI Security Is Different For decades, cybersecurity has focused on protecting systems from attack. Today, we are entering an era where AI itself can influence the speed, scale and sophistication of those attacks. Modern frontier models can assist with code analysis, vulnerability discovery, malware understanding and offensive research. While t...

The cybersecurity landscape continues to evolve as cybercriminals become ever more sophisticated, and digital security tools accelerate to mitigate the risks as much as possible. 2020 presented even more opportunities for hackers to strike, for example, using email phishing scams such as purporting to be authentic PPE providers, or from HMRC to dupe unsuspecting victims. More recently we have seen how phishers are now using the vaccine rollout to trick people into paying for fake vaccines.  Artificial Intelligence and Machine Learning have been heralded as innovative technologies to help thwart evolving exploits and are a key part of any cybersecurity arsenal. But AI is not necessarily the right tool for every job. Humans are still able to perform intricate decision making far better than machines, especially when it comes to determining what data is safe to send outside of the organisation. As such, relying on AI for this decision making can cause issues, or worse, lead to leaked ...

Paul German, CEO, Certes Networks , talks about the impact and the benefits of Artificial Intelligence(AI) driven cybersecurity. And how AI adoption is helping organisations to stay ahead in the never-ending game that is cybersecurity. Artificial Intelligence (AI) isn’t going anywhere anytime soon. With 20% of the C-suite already using machine learning and 41% of consumers believing that AI will improve their lives , wide scale adoption is imminent across every industry - and cybersecurity is no exception. A lot has changed in the cyber landscape over the past few years and AI is being pushed to the forefront of conversations. It’s becoming more than a buzzword and delivering true business value. Its ability to aid the cybersecurity industry is increasingly being debated; some argue it has the potential to revolutionise cybersecurity, whilst others insist that the drawbacks outweigh the benefits. With several issues facing the current cybersecurity landscape such as a disappearing I...

Artificial Intelligence (AI) has many business and security benefits but has risks and concerns.  AI can be a complicated subject matter to initially understand, so I thought it would be useful to share a great AI Infographic by ZeroCater , which simply explains what AI is and how it is already being adopted.