Every secret scanner hands you a big number, and almost nobody can act on it. When we verified each finding against the service that issued it, a five-figure detection count became a three-figure inventory of credentials that actually work. This is what that collapse means for how you prioritize, what you suppress, and what you tell your board.
We spent six months documenting why non-human identity (NHI) security fails in real organizations, from bug bounties that call leaked keys "out of scope" to the nine-part NHI Kill Chain. Argus is the product we built from what that research proved.
Secret scanners are notorious for burying teams in false alarms, and every ignored alert is a place a real breach can hide. This technical guide breaks down the two root causes of secret scanning false positives, why importing open-source rulesets makes them worse, and how active validation turns noisy findings into a signal your team can actually trust.
The Korean GitHub token leaks and CISA's public-repo exposure were both filed as secrets leaks. What got out was not a file but a live identity. This piece argues that security leaders should treat API keys as identities and shift the defense from prevention rate to how fast you detect what has already leaked.
Eight types of dangerous NHI credentials. One framework to find, classify, and eliminate them all. The complete NHI Kill Chain series summary with Cyber Kill Chain and MITRE ATT&CK mapping.
Full writeup of the AITU CTF Final (April 25-26, 2026), a HackCity-format competition. We walk through exploiting DMZ hosts via XXE, SSTI, and SQLi, pivoting into the DEV segment through AD lateral movement, escaping a privileged Docker container via cgroup abuse, and breaching a healthcare system through JWT JKU header injection.
A PostgreSQL master password drifted across seven platform types, from Secrets Manager to GitHub, Jenkins, Docker Hub, Jira, Confluence and Slack. Each security tool saw its own silo. None saw the full picture.
An organization's core credentials sat in public repositories for years. The security industry's answer: "Out of scope."
A single Stripe API key was copied to 14 locations over three years. When a QA repo went public, the key was exposed, and revoking it meant breaking 14 services at once.
A single AWS key, never rotated for 3 years, spread across 7 systems. When a supply chain attack hit a Terraform CI plugin, the key gave attackers full infrastructure access. Inside the Aged Key kill chain and how to defend against long-lived credentials.
A single production outage left credentials in six non-code platforms: Slack, Jira, Confluence, Sentry, Datadog and PagerDuty. Your secret scanner found none of them. Inside the Shadow Key kill chain.
A .env file pushed to a public GitHub repo is found by attacker bots in 4 minutes. We map the full kill chain, from credential exposure to infrastructure compromise, and show how to detect and respond before the damage is done.
Lifecycle management and scheduled rotation leave a window open. What continuous detection covers inside it.
Where credentials leak in modern CI/CD pipelines, what to scan at each stage (pre-commit, build, deploy), and how to integrate secret detection without slowing delivery.
Moving secret detection left without slowing delivery. What it costs to catch a key before the commit versus after the deploy.
Credentials ride into S3 buckets alongside backups and config files. How they get there, and why they surface late.
Breach costs keep climbing. Which part of that number secret detection actually reduces.
JavaScript bundles and source maps routinely leak API keys that never should have reached the browser. Here is how the leak happens, how to find it, and how to stop it.
What secret detection is, how it works, and what it looks at across code, containers and cloud workloads.
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