Five years ago, AI security was a forward-looking line item. Today it’s an operational reality, and the data shows most security programs haven’t caught up.

In the 2026 State of AI Security report, the Orca Research Pod found that 51.5% of organizations are building custom AI apps. 56% are running agent frameworks in production. This isn’t a pilot phase anymore. Agents have real cloud permissions. RAG pipelines are wired into sensitive data. Models are fine-tuned on proprietary datasets. It’s production infrastructure now, and nobody’s wrapped the usual production controls around any of it.

The gap is everywhere in the report:

  • 81% of organizations with AI packages carry at least one known vulnerability, up from 62% two years ago. Half of those alerts have public exploits.
  • 57.1% of Bedrock-using organizations run agents with no safety guardrails configured.
  • Between 87% and 98% of AI workloads across AWS, Azure, and GCP have never had customer-managed encryption turned on.
  • 33% of organizations have GitHub Copilot deployed, and Stanford research found developers using AI coding assistants write measurably less secure code while rating it as more secure than it is.

This isn’t one misconfiguration. It’s AI shipping faster than the governance meant to secure it, and that now includes the applications AI itself is generating.

Regulation is closing that gap on its own timeline. The EU AI Act’s high-risk obligations take effect August 2, 2026, with fines up to €35M or 7% of global turnover. Colorado’s amended AI law takes effect January 1, 2027. If you deploy AI in the EU or in high-risk use cases like hiring, credit, or healthcare, the misconfigurations in this report are compliance liabilities today.

Your organization has AI risk. The adoption numbers guarantee it. What matters is whether you can show where you stand, to a regulator, a board, or your own team, before someone else asks first.

Benchmark Where You Actually Stand, Then Get Your Next Step

Industry-wide numbers tell you what the space looks like. Where your organization falls against them tells you what to do Monday morning.

Orca’s AI Security Readiness Assessment gives you that read in five questions and under a minute. No email required to see your score. It covers the five domains where AI risk lands first for security leaders:

  • AI visibility — sanctioned and shadow AI across your cloud and SaaS footprint. The layer most CISOs say they can’t fully see.
  • Data exposure — what sensitive data can reach generative AI tools, and whether anyone has mapped that path
  • AI in your SOC — whether AI is doing real security work for your team, or just adding another surface to defend
  • AI AppGen security — whether the apps and code your AI tools are generating get the same scrutiny as the code your developers write by hand
  • Governance — what you could put in front of a regulator today, not what your policy says you’d eventually produce

Wherever you land, your result comes with a next step matched to it, not a generic thank-you page. Depending on where your organization scores, that might be early access to research, a look at how peers are approaching AI security, or a curated set of resources built to close the gaps your assessment surfaces.

Five questions. Under a minute. What you do with the answer is the part that matters.

Start the assessment