DedSec Application Security · 2026-10-14
Application security accreted one tool at a time. A SAST product for the code, an SCA product for the dependencies, a secret scanner for the leaked credentials, a DAST product for the running app, something for the Terraform, something else for the containers. Each was bought to solve a real problem. Together they produce a different problem: the same vulnerability tracked three times in three tools, three queues, three severity scales, and no single answer to the question *what are we shipping into production right now?*
Application Security Posture Management (ASPM) is the response. The idea is not a seventh scanner. It is one platform that runs the scanning disciplines you would otherwise buy separately, against a single finding model, managed through a real vulnerability lifecycle. AppSecD is built around that idea.
Consolidation only matters if the coverage is real, so start with what runs.
Static analysis (SAST). 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 — checked against OWASP Top 10, CWE Top 25 and custom rule packs. The multi-analyzer arrangement matters less for raw coverage than for agreement: engines built on different models disagree in informative ways, and a finding two independent engines produce is a different proposition from one a single rule produced.
Software composition analysis (SCA). 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. Advisories are correlated against the versions and repositories you actually run, with CISA KEV flagged.
Secret detection across history. TruffleHog and Gitleaks, deduplicated, run against both the working tree and the full git history — because a credential deleted in the latest commit is still in the repository, and the attacker will read the history even if your diff review did not.
Dynamic and API testing (DAST). Nuclei, Dalfox, SQLMap, Commix, Katana, Arjun, FFuf and Interactsh for out-of-band interaction detection, plus 150+ native checks and API discovery across 50+ web frameworks — because code review cannot see a misconfigured production header, an exposed API route or an injection that only appears once the app is assembled and running.
Infrastructure, containers and Kubernetes. Terraform, CloudFormation, Helm, Ansible and Pulumi rules; Dockerfile hardening with image CVE scanning; and Kubernetes RBAC, network-policy and pod-security-context analysis.
That is SAST, DAST, SCA, secrets, IaC, container, Kubernetes and API security — the tools a security team would otherwise license, operate and reconcile separately.
Running eight disciplines is not the hard part. Reconciling them is. The value of ASPM is that a vulnerability is deduplicated once and tracked once, no matter which engine found it. One finding model means one severity scale, one owner, one history — not the same SQL injection appearing as a SAST finding, a DAST finding and a line in a dependency report, each in its own tool with its own status.
This is also what makes the numbers usable. Eight scanners each producing their own backlog is eight backlogs. One model producing one backlog is something a team can actually work through.
Consolidated coverage finds more. Finding more is only useful if you can tell what matters, and a team that treats every finding as equally urgent stops treating any of them as urgent.
AppSecD ranks findings by whether the vulnerable path can actually be reached. Interprocedural taint analysis — taint analysis v1 and v2 — traces source to sink across function boundaries, and CVE-reachability answers whether the vulnerable code path can be reached at all before anyone is paged. On top of that, 27 configurable AI features handle the work that consumes analyst time: false-positive triage, fix suggestion in context, attack-chain assembly, and business-impact assessment — and because the false-positive label is itself tracked, triage quality is measurable rather than asserted. Individually a medium and a low can look ignorable; the attack-chain analysis shows how separately-unremarkable issues combine into a path from unauthenticated request to data.
This is the phrase that separates ASPM from a dashboard that aggregates scanner output. Findings do not just appear and pile up. They deduplicate across scans and move through new, reopened and fixed. They carry ageing and an SLA. They get assigned to an owner. And closing one can require maker-checker approval, so a finding marked fixed or false-positive needs a second person to confirm it — a developer cannot quietly close their own.
A finding that is found, ignored, re-found and re-ignored is worse than one never found: it consumes attention and buys nothing. The lifecycle exists to make sure that does not happen.
Consolidation would be hollow if it lived off to the side. AppSecD wires into GitHub and GitLab and gates pull requests and commits by policy, so a violation blocks the merge while the author still has the context — the fix is a five-minute change, not a ticket assigned months later to whoever owns the service now. It triggers on webhooks, scheduled runs, CI, ZIP upload or manually, and developers get results inside VS Code, Cursor, Windsurf and JetBrains before they push. The platform exposes roughly 860 OpenAPI-documented endpoints for teams that want to drive it themselves.
ASPM is not another scanner to add to the pile. It is the decision to stop maintaining the pile — to run SAST, DAST, SCA, secrets, IaC, container, Kubernetes and API security from one platform, against one finding model, ranked by reachability and managed through a lifecycle that actually closes things.
Want to see it against your own repositories? AppSecD connects to GitHub or GitLab and gates the pull request. Book a walkthrough against your own estate rather than a canned demo.