Yes, if the scope is narrow, scanning is automated, and developers handle most fixes themselves. One person can run a focused program with open source tools for around fifty developers. It strains when audits, incidents or growth arrive at the same time.
What a one person program looks like
| Layer | Approach | Weekly effort |
|---|---|---|
| Dependencies | Alerts and update pull requests turned on everywhere | Review the queue, not each item |
| Secrets | Pre-commit hook and CI scan with a baseline | Handle real leaks |
| Code | A small set of high confidence rules | Tune monthly |
| Policy | Two or three written rules with an exception route | Review exceptions |
| Reporting | One monthly page | An afternoon |
Rules that keep it feasible
- Fewer, sharper checks. Block on a narrow rule, report on the rest.
- Developers own fixes. Security owns the rules and the exceptions.
- Baseline first. Do not open a thousand tickets on day one.
- Prefer pull requests. Automated update PRs turn findings into reviewable work.
- Automate coverage checks. A report of unscanned repositories beats guessing.
Where it strains
Incident days consume the whole week. Audit season needs evidence assembly. Leave time off creates a single point of failure. Scale beyond one source host or many ecosystems multiplies the glue.
Triggers to ask for help
Two consecutive months with a growing overdue list, a customer evidence request you cannot answer in a week, or a second security hire being justified mainly to maintain tooling. Any of those makes a platform comparison worth running.
Protect the person
Document the setup, name a backup, and set a rule that any new scanner needs a plan for its upkeep before it is added.
Safeguard covers this ground with SBOM and dependency scanning, reachability analysis, policies and gates, and compliance evidence automation. Autonomous fix PRs are off by default, with every category set to Manual. You can try a free scan at gold.safeguard.sh/scan.
A realistic first quarter
Month one: turn on alerts and secret scanning everywhere, take baselines, publish a one page policy. Month two: add one blocking rule, set up the exception route, start the monthly report. Month three: measure overdue items and coverage, tune noisy rules, and decide what to automate next. Resist adding tools until the previous ones run without attention.
Using developers well
Name one security champion per team who reviews alert queues and answers questions. Give them a monthly thirty minute sync and a short guide to the gate and the exception route. Champions turn a one person program into a shared habit, and they are the first people to hear when a rule is too noisy. Recognise the work in performance reviews, otherwise the role fades within a few months.
Quick check
What should the first month cover?
Turn on dependency alerts and secret scanning, take a baseline, and agree one blocking rule.
What is the biggest risk to a one person program?
Dependence on that person. Document everything and name a backup.
Sources
- Gitleaks repository
- GitHub docs: about Dependabot alerts
- GitHub docs: about Dependabot version updates
Last reviewed: 19 October 2026.
