Cybercrime is up 300% because of AI
Cybercrime is up around 300% and AI is the reason. Cybercriminals are using large language models with no guardrails to accelerate phishing attacks, deepfakes, social engineering and malicious code generation.
Information security professionals need to understand how AI is changing the threat landscape before it's too late.
In this episode of Razorwire Raw, Jim Rees explains how malicious actors are using AI to increase their attack efficiency and profitability. Dark web criminal organisations operate like legitimate businesses, with HR departments, access brokers and specialised hacking teams. They have their own LLMs without the restrictions that limit commercial AI tools.
Phishing attacks that were easy to spot seven years ago are now nearly indistinguishable from legitimate communications. Deepfake technology is becoming a serious threat to financial services, critical infrastructure and government bodies. And with businesses replacing human staff with AI agents and automation, they're removing the people who could spot these attacks.
What does this mean for your security strategy? How do you defend against AI-powered attacks when the technology designed to protect you is still in its infancy? And why is your current defence in depth model already outdated?
Jim breaks down what's changed, what's coming and what security leadership needs to do right now.
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