Twenty-five years ago, the Code Red worm brought chaos to organizations worldwide, exploiting vulnerable Microsoft IIS servers and spreading rapidly across the internet. This pivotal moment in cybersecurity history exposed a harsh reality that remains true today: organizations cannot secure what they do not know they have. The worm’s impact on modern security practices is still felt, particularly as organizations rush to deploy artificial intelligence (AI) tools and face similar challenges in visibility, governance, and understanding their environment.
The Code Red worm was one of the first internet-scale cybersecurity incidents, and its emergence marked a turning point for vulnerability management, asset visibility, patching, and security operations. BeyondTrust CTO Marc Maiffret reflects on discovering the worm in 2001, highlighting how it helped shape modern approaches to these critical areas. Joined by longtime cybersecurity journalist Dennis Fisher and BeyondTrust Field CTO James Maude, the conversation revisits the lasting impact of worm-era attacks on today’s security practices.
As organizations adopt AI technology, they face many of the same challenges that accompanied previous waves of technology adoption. With the increasing reliance on AI tools, AI agents, and AI-powered workflows, visibility, governance, and understanding what is actually running in the environment remain foundational security requirements. These necessities are just as crucial now as they were when Code Red was discovered.
One of the key takeaways from the discussion is that the lessons learned from the Code Red worm 25 years ago can help today’s security leaders think about AI security, shadow AI, attack surface management, and the importance of identifying and securing emerging technologies before attackers do. This includes understanding the vulnerabilities in AI systems and addressing them proactively.
The conversation also emphasizes the significance of visibility and governance in AI adoption. As organizations deploy AI tools, they must ensure that these systems are properly monitored, updated, and secured to prevent potential security risks. This requires a robust understanding of what is running in the environment and implementing measures to address emerging threats.
In conclusion, the Code Red worm’s legacy serves as a reminder of the importance of visibility, governance, and understanding what is actually running in the environment. As organizations continue to adopt AI technology, they must prioritize these critical security requirements to prevent potential risks. By learning from the past, security teams can proactively address emerging threats and ensure that their environments remain secure.
To mitigate AI-related risks, it’s essential for organizations to maintain a strong understanding of what is running in their environment, including AI tools and systems. This involves continuous monitoring, regular updates, and robust governance measures. By doing so, organizations can prevent potential security breaches and ensure the integrity of their systems.
Source: Dark Reading — 2026-07-20