The Shift-Left Lie: Why 82% Claim Success While Only 4% Achieve It

New research reveals a 78-point gap between perception and reality in vulnerability remediation

The Evidence Is Overwhelming

Show signs of CVE-related burnout, with 47% reporting slower incident response times

88%

Per team per month spent on remediation—costing $2.7M-$3.3M annually for a 100-person engineering org

1.31 FTEs

Routinely defer fixes due to breaking changes, even when vulnerabilities have known patches

66%

Experienced multiple release delays due to security findings in the past year

60%

Want to continue developer-owned remediation. The rest want automation to handle it.

Only 12%

What's Inside the Report

What's Inside the Report

We surveyed 160 senior cybersecurity decision-makers to answer one question: Is shift-left security actually working?

The answer reveals both a crisis and an opportunity. Organizations face a fundamental disconnect between perception and reality in vulnerability remediation—but emerging autonomous remediation technology can finally close the gap.

We surveyed 160 senior cybersecurity decision-makers to answer one question: Is shift-left security actually working?

The answer reveals both a crisis and an opportunity. Organizations face a fundamental disconnect between perception and reality in vulnerability remediation—but emerging autonomous remediation technology can finally close the gap.

The Perception Gap:

Why 82% believe shift-left works while only 4% achieve zero CVE debt

The Perception Gap:

Why 82% believe shift-left works while only 4% achieve zero CVE debt

The Fundamental Problem:

How detection scaled with automation while remediation stayed manual

The Fundamental Problem:

How detection scaled with automation while remediation stayed manual

The Path Forward:

How autonomous remediation agents scale with compute, not headcount

The Path Forward:

How autonomous remediation agents scale with compute, not headcount

Six Symptoms of a Broken Model:

From accumulating debt to team burnout to structural challenges

Six Symptoms of a Broken Model:

From accumulating debt to team burnout to structural challenges

What Organizations Actually Want:

Only 12% prefer the status quo; 56% are ready to adopt automation

What Organizations Actually Want:

Only 12% prefer the status quo; 56% are ready to adopt automation

Executive Recommendations:

Specific actions for CISOs, VPs of Engineering, and DevOps leaders

Executive Recommendations:

Specific actions for CISOs, VPs of Engineering, and DevOps leaders

The Perception Gap:

Why 82% believe shift-left works while only 4% achieve zero CVE debt

Six Symptoms of a Broken Model:

From accumulating debt to team burnout to structural challenges

The Fundamental Problem:

How detection scaled with automation while remediation stayed manual

What Organizations Actually Want:

Only 12% prefer the status quo; 56% are ready to adopt automation

The Path Forward:

How autonomous remediation agents scale with compute, not headcount

Executive Recommendations:

Specific actions for CISOs, VPs of Engineering, and DevOps leaders

"Detection scaled with automation. Remediation stayed manual, scaling only with headcount. Organizations detect thousands of vulnerabilities monthly but can fix only dozens. This capacity mismatch has become a critical business risk."

"Detection scaled with automation. Remediation stayed manual, scaling only with headcount. Organizations detect thousands of vulnerabilities monthly but can fix only dozens. This capacity mismatch has become a critical business risk."

"Detection scaled with automation. Remediation stayed manual, scaling only with headcount. Organizations detect thousands of vulnerabilities monthly but can fix only dozens. This capacity mismatch has become a critical business risk."

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