Security systems that scale.
Without scaling headcount.
ZeroCreds installs automated security infrastructure for startups — compliance evidence generation, vulnerability triage, questionnaire automation — code you can ship and automation that keeps shipping after we leave.
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// the reality
Your security isn't broken.
It just doesn't scale.
Every enterprise deal requires one. Your CTO fills them out manually.
Your auditor asks for proof. You spend three days assembling screenshots.
200 findings from the last scan. Maybe 3 actually matter.
Engineering patches what they can. The rest piles up.
# Before: what's probably in your stack right now
containers:
privileged: true # running as root
readOnlyRootFilesystem: false
network_policies: none # every pod talks to everything
iam_credentials: "AKIA..." # hard-coded, never rotated
dependency_scanning: off # hope nothing's vulnerable
# After: what your stack looks like in 2-4 weeks
containers:
privileged: false
runAsNonRoot: true
readOnlyRootFilesystem: true
network_policies: enforced # zero-trust between services
iam_credentials: OIDC # short-lived, nothing to leak
dependency_scanning: on # Trivy + Snyk in every PR
// capabilities
Full-stack security operations. Automated.
From containers to compliance — every engagement installs systems you own.
Container & Runtime Security
Secure base images, non-root execution, read-only filesystems, and runtime monitoring — so a container breach can't become a cluster breach.
Kubernetes & EKS Security
RBAC lockdown, network policies, pod security standards, and secrets management — least-privilege from pod to cluster.
Application Security
Dependency scanning, SAST/DAST integration, SBOM generation, and supply chain controls — catch vulnerabilities before they ship.
OIDC & Credential Elimination
GitHub Actions OIDC federation, short-lived tokens, subject claim scoping. Nothing to rotate. Nothing to leak.
GitHub Organization Security
Rulesets, secret scanning, push protection, CODEOWNERS, and access audits — your code locked down before it leaves the branch.
AWS Security Baselines
IAM tightening, CloudTrail, GuardDuty, SCPs, encryption defaults — all in Terraform you version and audit.
CI/CD Pipeline Security
Action pinning, least-privilege workflows, protected environments, and runner isolation — so a compromised action can't own your pipeline.
Compliance-as-Code
SOC 2 and ISO 27001 policies mapped to your actual infrastructure. Evidence collection automated from AWS, GitHub, and CI/CD — delivered as versioned, auditable code.
Security Questionnaire Automation
AI-powered responses to vendor security questionnaires, trained on your infrastructure and policies. Days of work reduced to hours.
// the process
Assess. Build. Automate.
Assess
I review your repos, configs, pipelines, and cloud accounts. Automated scanning covers ground fast. My judgment separates real risks from noise. You get a prioritized risk snapshot and an automation roadmap.
Build
I deploy the security infrastructure your stack needs — hardened configs, Terraform modules, CI/CD lockdown — plus AI-powered automation for questionnaires, compliance evidence, and vulnerability triage.
Automate
You own everything. Running systems, not a report. The automation keeps working after I leave — triaging vulnerabilities, generating evidence, answering questionnaires. Your engineers maintain it from day one.
// proof of work
Here's what delivery actually looks like.
# What you get: a Terraform module in your repo.
# This one sets up GitHub Actions OIDC federation with AWS.
resource "aws_iam_openid_connect_provider" "github" {
url = "https://token.actions.githubusercontent.com"
client_id_list = ["sts.amazonaws.com"]
thumbprint_list = [data.tls_certificate.github.certificates[0].sha1_fingerprint]
}
resource "aws_iam_role" "deploy" {
name = "github-actions-deploy"
assume_role_policy = data.aws_iam_policy_document.github_oidc.json
# Scoped to specific repo and branch.
# No long-lived keys. No secrets to rotate. Nothing to leak.
}
# Auto-generated compliance mapping: SOC 2 CC6.1 → your actual controls.
# Not a spreadsheet. Versioned code that stays current as your infra changes.
control "cc6.1_logical_access" {
requirement = "Restrict logical access to information assets"
evidence {
iam_policies = module.aws_baseline.iam_policy_arns
oidc_federation = module.github_oidc.provider_arn
rbac_config = module.eks_security.rbac_roles
}
validation {
no_wildcard_actions = true # verified against live IAM
no_static_keys = true # OIDC federation confirmed
mfa_enforced = true # AWS account-level check
}
}
Every engagement installs systems like this — shaped by judgment about what your stack actually needs. Reviewed, tested, merged into your repo. You keep everything.
// engagements
Fixed scope. Running systems. Code you keep.
No hourly billing. No scope creep. Every engagement installs automated security infrastructure you own.
Security Baseline
- Infrastructure & application security assessment
- Container and Dockerfile review
- GitHub org & repo security review
- CI/CD pipeline risk analysis
- Prioritized remediation code + security automation roadmap
Security Operations Buildout
- Everything in Security Baseline
- AI-powered security questionnaire automation
- Compliance evidence generation workflows
- Intelligent vulnerability triage & noise reduction
- Terraform modules + automation you own and run
Full Security Stack
- Everything in Security Operations Buildout
- Kubernetes/EKS security (RBAC, network policies, pod security)
- AWS security baseline (IAM, CloudTrail, GuardDuty, SCPs)
- Complete AI-augmented security operations layer
- Monitoring, alerting & team enablement
// questions
Frequently asked. Straight answers.
What's a "code-first" engagement?
Do I need to be on AWS?
How long does a typical engagement take?
What if we already have some security in place?
What if we're early-stage or a small team?
How does AI fit into the engagement?
// latest from the blog
Security engineering insights. No fluff.
Dependency Review: Catching Malicious Packages Before They Merge
GitHub's dependency review action scans every PR for new dependencies with known vulnerabilities and license changes before they hit your default branch.
March 05, 2026Infrastructure as Code Is Your Biggest Security Win
IaC isn't just an ops efficiency play — it's the single highest-leverage security decision most teams can make.
March 05, 2026Security Is a Feature, Not a Phase
Shift-left security means embedding security into design and CI/CD from day one — not adding a review gate before production.
// get started
Tell me about your stack.
I'll tell you where to start.
Let's talk
Tell me what you're running, where you deploy, and what keeps you up at night. I'll respond within 24 hours with an honest assessment of where your biggest risks are.
No sales calls. No pressure. Just a straight answer from someone who's done this.
// track record
Built by someone who's done this at scale.
Not a big consultancy. Not AI-generated output with a logo on it. One senior engineer who's secured production at Nike, ZeroFox, and IDX — specializing in the intersection of security operations and AI-powered automation.
Most security firms hand you a report. Some hand you code. I install an AI-augmented security operations layer — so you get enterprise-grade security posture without hiring an enterprise-grade security team.
— Evan Ippolito, Founder