Developers and AI: Security Nightmare or Governance Opportunity?

Nobody asked for permission because they didn’t need to.

But before you knew it, shadow AI coding tools were driving individual productivity without full oversight or vetting from the security team.

Developers are just doing their jobs. AI coding assistants are genuinely useful, and the teams using them are shipping faster. But speed without guardrails creates risk that’s hard to see, harder to audit, and even harder to explain to a board after something goes wrong.

The horror stories are already out there

The stories get around: proprietary code pasted into public-facing AI tools. Secrets and credentials surfacing in AI-generated outputs, and models trained or fine-tuned on sensitive data without anyone in security knowing it was happening.

These situations don't just happen to careless teams in edge cases. They're happening at companies with mature security programs, because the tooling moved faster than the governance. OpenAI's own security incidents have become something of a case study in what happens when AI development outpaces security thinking. If it can happen there, it can happen anywhere.

You can’t just block everything

Some security leaders react by restricting access. They see the risk and block the tools, enforcing a policy where AI coding assistance are off-limits.

But that’s the thing about shadow AI. This approach doesn’t work, it just sends the tech “deeper underground.” Before you know it, the team finds workarounds, resorts to personal devices and remove even further visibility from what’s happening.

Rather than asking how do we stop this, leaders should consider how do we make this safer without becoming the team that killed velocity.

That’s mapping where  AI is actually being used across your org, understanding what data it's touching, governing AI-assisted coding at scale without creating friction that gets ignored, and building security capability inside technical teams beyond  policing from the outside.

Security champions, not security police

One of the most effective shifts security teams can make is moving from a gatekeeping model to an enabling one. Engineering teams need embedded AI security champions. People who work with them and understand both the tools and the risks. This can do more to change behavior than any policy document. It's the same principle that's worked in AppSec for years, applied to a new surface area.

A practical conversation

TryHackMe is hosting a discussion specifically for security leaders facing this challenge: how to govern AI coding workflows without blocking the productivity your org depends on.

It'll be a practical conversation, grounded in real incidents, and includes a live demo of how automated security workflows can be embedded into AI coding environments without adding meaningful friction. No shaming, no scaremongering (just a few horror stories!) and a clear look at how leaders can drive cultural change that makes security part of the process.

Webinar · Free to attend

🛡️ Securing AI Coding: Governance, guardrails, and getting It done

You can’t block AI. You can govern it.

📅 4th March 2026
🕒  4pm GMT | 11am EST | 8am PST