When it comes to Artificial Intelligence and cyber security, the chat often drifts towards the blockbusting, sophisticated, autonomous algorithms executing complex, multi-stage attacks. But the reality of modern cyber warfare is often far more pragmatic. Threat actors are consistently proving that they don’t need to rely on mythos-level sophistication to compromise corporate networks.
The most concerning threats are those that leverage AI for rapid, simplistic propagation, exploiting the very tools organisations use to improve productivity.
The Reality of the AI Worm
A recent demonstration has highlighted just how accessible these attack vectors have become. Researchers have successfully developed an AI worm prototype that illustrates that attackers don’t need highly advanced, zero-day capabilities to take over a network.
The danger of an AI worm lies in its ability to automate the exploitation of interconnected AI agents and generative AI ecosystems. As businesses integrate AI assistants into their email, messaging, and document-sharing platforms, a simple worm can autonomously generate prompts that manipulate these tools into exfiltrating sensitive data or spreading malicious code to other users. It’s a subtle, automated manipulation, often going completely unnoticed until it’s too late.
Shadow AI
Compounding the risk of these automated threats is the rapid proliferation of Shadow AI. Much like Shadow IT, Shadow AI is the unauthorised or unmonitored use of artificial intelligence tools by employees.
Driven by a desire to work more efficiently, staff may upload sensitive corporate data, source code, or client information into public generative AI models without the oversight of the IT department. This creates vast, undocumented attack surfaces. If an AI worm penetrates an organisation, these unmonitored AI touchpoints act as perfect conduits for lateral movement and data theft.
Modern Defences for Modern Threats
Relying on traditional signature-based antivirus solutions is no longer enough against generative and autonomous threats. To combat AI-driven attacks, organisations need to look at AI-driven defences.
At Mondas, we advocate for a proactive, best-in-class approach to data security. This involves understanding your exact attack surface before a breach occurs. To support this, we utilise industry-leading solutions such as CrowdStrike’s AIDR (Artificial Intelligence Detection and Response). AIDR is specifically designed to monitor AI interactions, detect anomalous behaviour within large language models (LLMs), and halt the lateral spread of AI-generated attacks, like the worms mentioned above, in real-time.
Secure Your AI Ecosystem
AI is transforming the way cyber criminals operate. Understanding where AI lives in your organisation, both sanctioned and unsanctioned, is the first step in defending against these emerging threats.
If you’re concerned about the hidden vulnerabilities within your network, Mondas can help. We offer a comprehensive, free risk audit that specifically covers the presence and impact of AI and Shadow AI within your infrastructure.
We specialise in navigating these complex, modern threat landscapes. Contact our team today to schedule your free audit and learn how we can deploy cutting-edge tools like CrowdStrike AIDR to secure your operations.
This article was brought to you by Lance Nevill, vCISO and Cyber Security Director. Lance leads the cyber security strategy at Mondas, ensuring that organisations stay ahead of emerging threats through thought leadership, expert staffing, and the deployment of best-in-class security tools. 🔗Connect with Lance on LinkedIn
Article First Published: 16 July 2026
