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2027 Outlook Report · The Future of Application Security in the Era of AI

The Blindfold Is
Self-Applied.

AI is off the leash — and the industry is blindfolding itself. Based on a global survey of 2,350 CISOs, AppSec managers, and developers across 14 countries.

AI is now the development environment

Human-written code
is no longer the norm.

0%
of production code is now AI-generated
0%
of organizations embed AI components in their applications
0%
of developers say AI-generated code introduced more vulnerabilities than manual code

Development accelerated dramatically.
So did exposure.

The confidence paradox

AI code doesn't just increase risk.
It multiplies it. By 3.4×

Organizations where 81–100% of code is AI-generated ship vulnerable code at 3.4× the rate of those at 1–20%.

% Often Deploying Vulnerable Code — By AI Code Volume
Based on cross-tabulation of 2,350 respondents by AI code volume
50%40%25%15% 14% 19% 23% 36% 47% 1–20% 21–40% 41–60% 61–80% 81–100% 3.4×

Confidence is high.
The numbers disagree.

The organizations sitting at the top of that curve are the ones that rate themselves "highly mature."

They report the highest AI code volumes (60%), the highest rate of shipping vulnerable code (42%), and breach rates barely distinguishable from everyone else.

Confidence isn’t protecting them. It’s blinding them.
A self-reinforcing loop

The data reveals
a closed loop.

49%
AI-generated code
3.4×
More vulnerable code shipped at high AI-code volumes
93%
Breached via their own apps
More code
More risk
More breaches

AI code volume correlates directly with vulnerable deployment — which contributes to breach frequency.

The industry is normalizing risk

Risk isn’t missed.
It’s sidelined — on purpose.

0%
of CISOs report being pressured to suppress or delay compliance-related security findings
0%
of organizations knowingly deploy vulnerable code — driven by deadlines, complexity, and compensating controls
0%
ship vulnerable code hoping the vulnerability won't be found

Visibility improved.
Action didn’t.

Three roles, three realities

Nobody inside the org
sees the same picture.

Share of each role who believe their organization had zero breaches in the past 12 months:

CISOs
0%
Furthest from the code. Most optimistic.
Developers
0%
Writing it. Slightly less sure.
AppSec
0%
Closest to the risk. Almost none believe it.

The closer you sit to the code, the worse the picture gets.

The tools work — the system doesn’t

Detection isn’t the problem.
Action is.

0.0%
of developers say their in-IDE AI security tooling is effective
0%
of developers apply security only at checkpoints — only 18% fix continuously as code is written
0%
of organizations fix more than 90% of vulnerabilities within 90 days

The tools do the work.
The system doesn’t act on it.

A note on timing

The window between
vulnerability and exploit collapsed.

Months
Yesterday
Minutes
Post-Mythos

A third of organizations leave half their known vulnerabilities unfixed for 90 days. Every one of them is now a potential zero-day.

What actually needs to change

Six structural shifts needed to
survive the post-Mythos Era

The organizations that thrive in the agentic era won't have the best detection. They’ll be the ones that stopped letting known risks survive the decision chain.

01
Prioritize risk, not volume
In the report
02
Embed security into workflows
In the report
03
Reduce tool & ownership fragmentation
In the report
04
Strengthen governance — especially AI
In the report
05
Align accountability with capability
In the report
06
Move from insight to execution
In the report

The full playbook — every imperative, every benchmark — is in the report.

The path forward

The blindfold is self-applied.
So is the decision to remove it.

Get the complete report: every finding, the regional breakdowns, the autonomy data, and the six strategic imperatives for closing the gap between insight and action.

2,350
Respondents
14
Countries
3
Roles surveyed

Download the 2027 Outlook Report

The Future of Application Security in the Era of AI.