Static and dependency scanning
SAST, secret detection and software composition analysis on every pull request, with results posted as review comments on the changed lines.
Security & Compliance
Security checks that run on every pull request, not in a panic before launch.
The work
We embed security tooling into the pipeline your engineers already use, so a finding arrives as a pull request comment minutes after the commit rather than as a blocker two days before launch. Static analysis, dependency checks, container scans and dynamic tests run where they are cheap to act on, with clear ownership of every result.
The goal is fewer, better findings rather than a wall of noise nobody triages. We tune rulesets to your codebase, agree which severities actually block a merge, and route each category to a named owner. Where a scan is not worth its runtime, we say so and leave it out.
Scope
Every engagement on this page covers the following, sized to your setup rather than delivered as a fixed package. If something here is not relevant to you, it comes off the scope and off the price.
SAST, secret detection and software composition analysis on every pull request, with results posted as review comments on the changed lines.
DAST against a running preview environment and image scanning at build time, so exploitable runtime issues surface before the change reaches production.
An agreed policy for what fails a build, what opens a ticket and what is tracked quietly, written down so the rule survives staff changes.
Pipeline tokens replaced with short-lived federated credentials, so a compromised build agent cannot walk away with long-lived cloud keys.
Short sessions with the engineers who own each service, mapping what an attacker would target and turning that into checks the pipeline can actually run.
A single view of open findings by severity, age and owning team, plus a monthly trend so you can see whether the backlog is shrinking.
What changes
Handover
Everything produced during the engagement is yours: the repositories, the accounts, the documentation. There is no proprietary layer and nothing to unlicense if you take the work in-house.
Tooling
A starting point, not a requirement. We work in whatever you already run wherever it does the job.
How it runs
The same four steps on every engagement. You see each one before it starts and can stop at any of them.
We read your pipelines, review checklists and incident history to find where security decisions are actually made today, and where they get skipped.
Each candidate scan is judged on signal quality and runtime, and the ones that survive become stages in a draft pipeline we can measure.
Checks land as pull requests behind feature flags where possible, then we tune thresholds against real history instead of guessing at a comfortable default.
We document who fixes what, train the owning teams on triage, and leave a monthly review rhythm that keeps the findings from piling up.
Questions
Some of them will, and we are upfront about the cost. Fast checks run on every commit, while slower dynamic tests run nightly or on a schedule. In most cases the total adds a couple of minutes to a pull request, and caching keeps repeat scans cheap.
Rarely. Most teams already own a scanner or two and the problem is where they run, not which ones they bought. We wire what you have into the pipeline first, then recommend replacements only when a tool genuinely cannot fit the workflow.
Every new check is tuned against your existing code before it blocks anything, so you can see the false positive rate on real history. Rules that stay noisy get suppressed, rewritten or dropped, and the decision is recorded so it is not relitigated later.
No. Pipeline checks produce useful evidence, but compliance depends on policies, access control and record keeping well beyond the build. Treat this as one control among several, and speak to your auditor about what else they expect to see.
Security & Compliance
No credentials in Git, no shared password spreadsheets, and automatic rotation you never have to think about.
Block images with known critical CVEs before they ever reach a registry your production cluster can pull from.
Guardrails expressed as code, enforced before deployment — not a wiki page nobody reads.
Bring the specific problem. We will tell you honestly whether this is the service that fixes it, and what it would take.