Cybersecurity Awareness Month 2026: Understanding AI Security Is Critical to Enterprise Defense

Another Cybersecurity Awareness Month is upon us, and if I may say so, the general 2026 theme of “Don’t Make It Easy for Cybercriminals” might be the understatement of the century. 

While that is a good place to start for regular citizens and security personnel alike, this year has been particularly mind-blowing in terms of the sheer scale of change for the cybersecurity industry, thanks to the rapid, widespread implementation of agentic AI tools in the enterprise. “Not making it easy” for threat actors is becoming an all-encompassing task for most CISOs, and they need the support of their entire organization to really make an impact. 

We’ve reached a point where most top AI companies have publicly called for a global slowdown in AI development so safety guardrails can catch up, but the truth is, serious security issues have already come to fruition. The OpenAI/Hugging Face incident still looms large and continues to fuel many technical debriefs, all of which point to the fact that, in some ways, the technology has moved past the safety parameters we long established to control a traditional attack surface that was not AI-augmented. The recent Medicare breach only bolstered this position.

This leaves countless security leaders and executive teams in an urgent position, as the monetary and risk costs of AI implementation keep piling up. 

The enterprise attack surface has permanently expanded (and it’s getting bigger)

We need to get comfortable, very quickly, with the fact that the enterprise attack surface has fundamentally expanded forever, because the definition of who actually "commits code" has changed. With the rise of generative LLMs, low-code/no-code platforms, and agentic assistants, software creation is no longer restricted to the time-honored engineering departments of old. Today, business users across finance, HR, marketing, and operations (our "citizen developers") are building custom workflows, integrating APIs, and deploying applications directly into fundamental business functions. 

‍Industry research estimates that 70% of new business applications are being built using low-code or no-code tools, with 80% of those users working outside of IT departments. While this drastically accelerates productivity on paper, it creates an unwieldy "shadow code" footprint that is difficult to control, one where software is created without basic security training or governance.

This rapid democratization of development brings with it severe security implications. Recent data from the Cloud Security Alliance shows that AI-assisted code commits expose secrets at more than twice the rate of human-written code (3.2% versus 1.5%), with AI tools generating security vulnerabilities in 45% of development tasks and producing 2.74 times more security issues overall. Our own living benchmark, the SCW AI Trust Index, also determined there is no universally “safe” model, with AI-generated code carrying 15 vulnerabilities per codebase, on average.

Notably, during vibe coding sessions with their preferred LLM, non-technical employees are routinely prompted to store unencrypted API keys or deploy applications into non-approved environments like Cloudflare, inadvertently expanding the enterprise attack surface because they lack the training to recognize the risk.

This is a distinct, insidious issue that needs the same urgency we afforded high-profile incidents like the CrowdStrike global outage and SolarWinds software supply chain attack. Every commit could be causing damage.

Bridging the AI security knowledge gap for every employee

We cannot bridge an AI security and literacy gap through passive governance policies or automated scanning alone. In a new, pervasive workflow where AI agents generate code, review pull requests, and trigger deployments, securing what the AI misses becomes the chief focus for every human across the organization. 

Want to maintain control over the attack surface? In that case, all staff who generate or commit code with AI, from seasoned software engineers to business citizen developers, must possess verifiable security skills, both in the context of their roles, and within the tools they are using. Organizations must equip every employee with the practical judgment needed to audit AI outputs, manage credentials safely, and identify security flaws before code reaches production.

That is why this Cybersecurity Awareness Month, we are encouraging security leaders to move beyond static awareness and build real, verified defense capabilities across their workforce. To help facilitate this with minimum friction and maximum fun, I invite all of our customers and partners to participate in Cybermon 2026, launching Monday, October 5, 2026. 

Get involved: Cybermon 2026

Centered on this year's theme, “Built by AI. Secured by You,” Cybermon 2026 is a free, four-week interactive event for customers on the Secure Code Warrior platform, designed to convert AI risk awareness into hands-on secure coding habits.

Throughout the campaign, participants face off against gamified "cybermon" digital monsters representing real-world software flaws through bite-sized, 6- to 10-minute coding labs and interactive challenges. This year’s event features four brand-new, exclusive AI-focused Boss Level missions that challenge teams to exploit and defend against new classes of agentic AI vulnerabilities. Fully localized in 8 spoken languages and accessible across major programming languages, Cybermon 2026 offers your entire enterprise an engaging way to earn digital badges, run friendly internal team competitions, and verify the AI cybersecurity skills needed to keep your organization safe. 

Making it harder for cybercriminals might feel like an insurmountable task, but we know the difference upskilled, prepared personnel can make in reducing coding risk factors, so join us for Cybermon 2026 and empower your workforce to secure the future of AI-driven software.