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02/08/2026 11:33 am
TL;DR: Secrets exposure remains a baseline AppSec problem, with 20 million public GitHub secrets and roughly 30% of private repos containing leaked credentials, according to Aikido. The practical issue is no longer detection alone but how teams reduce false positives, triage findings, and manage NHI governance across broader code-to-cloud workflows.
NHIMG editorial — based on content published by Aikido: Top GitGuardian alternatives for secrets scanning in 2026
By the numbers:
- In 2024 alone, over 20 million secrets were exposed in public GitHub repositories.
- roughly 30% of private repos that contain leaked credentials
- only 44% of organisations are currently using a dedicated secrets management system.
Questions worth separating out
Q: How should security teams handle leaked secrets once they are found?
A: They should treat detection as the start of response, not the end.
Q: Why do leaked NHI credentials create more risk than ordinary exposed strings?
A: Leaked NHI credentials can function as authenticated access, not just information.
Q: What do teams get wrong about secrets scanning at scale?
A: They treat scanning as the control instead of one input to lifecycle governance.
Practitioner guidance
- Separate detection from governance ownership Route every verified secret finding to a named system or team that owns the credential lifecycle, including revocation and reissuance.
- Require live-secret validation before ticketing Use validation methods that confirm whether a candidate secret is still active so developers are not buried in false positives and suppression debt.
- Track exposed-secret dwell time Measure the time between first detection and successful revocation, then report it as a programme metric alongside total findings and repeat exposure sources.
What's in the full article
Aikido's full blog post covers the operational detail this post intentionally leaves for the source:
- Side-by-side feature comparison of the top GitGuardian alternatives across false-positive reduction, remediation workflow, and auditability
- Tool-by-tool notes on when dedicated secrets scanning is enough versus when teams need broader code-to-cloud coverage
- Practical buying guidance for DevSecOps and AppSec teams evaluating open-source, GitHub-native, and enterprise options
- Implementation details on how each platform handles validation, developer workflows, and reporting
👉 Read Aikido's analysis of the top GitGuardian alternatives for secrets scanning in 2026 →
GitGuardian alternatives and the secrets scanning gap in 2026?
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02/08/2026 12:47 pm
Secrets scanning is now an identity control, not just an AppSec utility. The article correctly frames leaked credentials as a governance problem because the secret itself is the access mechanism. Once a token, API key, or certificate escapes the intended issuance path, the issue is no longer only code exposure. The implication is that IAM, AppSec, and NHI ownership have to converge around the same finding pipeline.
A few things that frame the scale:
- In 2024 alone, over 20 million secrets were exposed in public GitHub repositories, according to The State of Secrets in AppSec.
- The same research found that companies are dedicating an average of 32.4% of their security budgets to secrets management and code security.
A question worth separating out:
Q: How can organisations reduce the time exposed secrets stay live?
A: By combining validation, ownership routing, and automated revocation playbooks. If a finding cannot move quickly from detection to the team that can kill the credential, the dwell time stays high. Reporting that delay as a control metric is usually more useful than counting raw alerts.
👉 Read our full editorial: Top GitGuardian alternatives expose the secrets scanning gap
