DedSec Application Security
The distance between writing a vulnerability and finding it is the whole cost of application security.
Found in the editor, it is a thought. Found in the pull request, it is a comment and a five-minute change while the author still remembers why the code is shaped that way. Found in a quarterly test, it is a ticket assigned to whoever owns the service now, describing code written by someone who has since changed teams. Found in a breach report, it is not an engineering problem any more.
Nothing about the vulnerability changes across those four cases. Only the context around it decays.
Three disciplines are fast enough and precise enough to sit in the path of a merge.
Static analysis. AppSecD runs SAST across more than twenty languages through a farm of over fifteen analyzers, with Semgrep as the primary engine alongside Bandit, gosec, ESLint security rules, Brakeman, PHPStan and Psalm, and SpotBugs with FindSecBugs, against OWASP Top 10, CWE Top 25 and custom rule packs. The multi-analyzer arrangement matters less for coverage than for agreement: engines built on different analysis models disagree in informative ways, and a finding two independent engines produce is a different proposition from one a single regex-adjacent rule produced.
Software composition analysis. Trivy and OSV across npm, PyPI, Go, Maven, RubyGems, Cargo, Packagist and NuGet. Conventional CVE matching is the floor. The additions that earn their place are typosquat detection, malicious-package detection and provenance checking, because the modern dependency problem is not only "this library has a known bug" but "this library is not the library you think it is". A maintainer account taken over last week produces a package with no CVE at all.
Secret detection over the full history. TruffleHog and Gitleaks, deduplicated, run against the working tree and the entire git history. The history part is the point. A credential removed in the latest commit is still in the repository, still in every clone, and still in every fork. Scanning only the diff finds the commit that adds a secret and misses every secret that is already there.
Detection without enforcement produces a queue, and a queue produces a backlog, and a backlog ships. AppSecD gates pull requests and commits by policy so the violation is dealt with while the author still has the context.
The failure mode of gating is not technical. It is that a gate engineers consider unreasonable gets routed around — with an override that becomes routine, a bypass label that becomes standard, or a quiet decision to stop running it on the repositories that matter most. Some things that keep a gate credible:
The earlier surface is the editor. AppSecD delivers results inside VS Code, Cursor, Windsurf and JetBrains, before the code is pushed. Anything caught there never becomes a gate failure, never becomes a comment thread, and never costs a second engineer's attention.
Scans also trigger from webhooks, scheduled runs, CI, ZIP upload or manually. Multiple triggers matter more than it sounds: repositories that are not wired to a webhook, code that arrives from a supplier as an archive, and the scheduled re-scan that catches the case where the code did not change but the world did — a package you already depend on gets a new advisory tomorrow.
The reason to consolidate rather than to assemble a pipeline from separate tools is not procurement convenience. It is that a vulnerability found by two engines in two tools is two tickets, two triage decisions and two chances to be wrong.
AppSecD runs SAST, DAST, SCA, secrets, IaC, container, Kubernetes and API security against a single deduplicated finding model. The same issue is tracked once regardless of which engine saw it, moves through new, reopened and fixed, and carries ageing, an SLA and an owner. That single model is also what makes cross-engine reasoning possible at all — a static finding and a running-application finding cannot be related to each other if they live in separate systems with separate identifiers.
It should not mean moving every scan into the pull request until the pipeline takes twenty minutes and everyone starts merging on red. Some analysis is genuinely too slow, too stateful or too noisy for the merge path, and belongs in a scheduled run against the main branch.
The useful version of the idea is narrower: put the fast, precise checks where the context is, put everything else where it does not block anyone, and make sure the results from both land in the same place with the same identity. The pull request is not where all security happens. It is the last point at which fixing a problem costs one person five minutes.