ANTOS

ANTOS

End-to-End DevSecOps Pipeline

by ninja.ing

The Intelligent Layer

Claude Orchestrates Every Stage

Claude AI is the connective tissue across your entire DevSecOps pipeline — triaging findings, correlating signals between stages, generating fixes, and writing the reports humans actually read.

Claude
1
Planconnected
2
Codeconnected
3
Buildconnected
4
Testconnected
5
Releaseconnected
6
Deployconnected
7
Operateconnected
8
Monitorconnected

Triage

Deduplicates findings across scanners, classifies false positives, and prioritizes by real-world exploitability.

Correlate

Connects signals across stages — links a DAST finding to its SAST root cause and the threat model that predicted it.

Fix

Generates remediation PRs, IaC patches, and policy updates — developers review fixes, not raw vulnerability reports.

Report

Writes executive summaries, compliance evidence, and trend analysis — from board decks to audit artifacts.

Full Pipeline Scan

claude — orchestrator
$ claude orchestrate --pipeline antos --scope full

Scanning 8 pipeline stages...

 [1/8] Plan     ✓ 14 threats modeled, 6 mitigations required
 [2/8] Code     ✓ 3 PRs reviewed, 1 fix generated
 [3/8] Build    ✓ 47 findings → 31 unique, 12 false positives
 [4/8] Test     ✓ 18 DAST results correlated with 4 CVEs
 [5/8] Release  ✓ SBOM clean, 2 license risks flagged
 [6/8] Deploy   ✓ 3 IaC violations — auto-fix PRs ready
 [7/8] Operate  ✓ 2 alert clusters → 1 incident narrative
 [8/8] Monitor  ✓ Posture: 92% — MTTR improved 18% MoM

Summary: 6 actions recommended, 4 auto-fixes ready.
Security posture: STRONG — trend improving.
Watch it run

See the Pipeline Run

Watch Claude orchestrate 17 enterprise tools across 8 stages — from threat modelling to executive reporting in under 40 seconds.

Zoom out \u2014 org-wide posture

Organisation-Wide Posture

Six services running the same 8-stage pipeline in parallel — findings accumulate, risk is scored live, and Claude triages everything in real time.

Posture Score
100
Critical0
High0
Medium0
Low0

Active Pipelines

auth-service
Waiting
payment-api
Waiting
user-gateway
Waiting
notification-svc
Waiting
data-pipeline
Waiting
inventory-api
Waiting
PLN
COD
BLD
TST
REL
DEP
OPS
MON

Risk Heatmap

PLN
COD
BLD
TST
REL
DEP
OPS
MON
auth-service
payment-api
user-gateway
notification-svc
data-pipeline
inventory-api
Low
Medium
High

Claude Activity Feed

Waiting for pipeline activity...
What\u2019s running under the hood

Real Pipeline, Real Tools

This GitHub Actions workflow runs on every push — open-source security tools validating the same pipeline ANTOS demonstrates.

ANTOS Security Pipeline status
.github/workflows/security-pipeline.yml
name: ANTOS Security Pipeline
on:
  push:
    branches: [master]
  pull_request:
    branches: [master]
  workflow_dispatch:

permissions:
  contents: read
  security-events: write

jobs:
  # ── Stage 1: Plan ──────────────────────────────────
  plan:
    name: "Plan — Threat Model Validation"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Validate Mermaid diagrams
        run: |
          npm install -g @mermaid-js/mermaid-cli
          find . -name "*.mmd" -exec mmdc -i {} -o /dev/null \;
          echo "✓ All Mermaid diagrams are valid"

      - name: Check threat model docs exist
        run: |
          if [ -d "docs/threat-models" ] || [ -d "arch" ]; then
            echo "✓ Threat model directory found"
          else
            echo "ℹ No threat model docs yet — consider adding arch/ or docs/threat-models/"
          fi

  # ── Stage 2: Code ──────────────────────────────────
  code:
    name: "Code — SAST + Secret Detection"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
          fetch-depth: 0

      - name: Semgrep SAST scan
        uses: semgrep/semgrep-action@v1
        with:
          config: >-
            p/owasp-top-ten
            p/typescript
            p/react
        env:
          SEMGREP_APP_TOKEN: ${{ secrets.SEMGREP_APP_TOKEN }}

      - name: Gitleaks secret detection
        uses: gitleaks/gitleaks-action@v2
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

  # ── Stage 3: Build ─────────────────────────────────
  build:
    name: "Build — Compile + Audit"
    runs-on: ubuntu-latest
    needs: [code]
    defaults:
      run:
        working-directory: ui-app
    steps:
      - uses: actions/checkout@v4

      - uses: actions/setup-node@v4
        with:
          node-version: 22
          cache: npm
          cache-dependency-path: ui-app/package-lock.json

      - name: Install dependencies
        run: npm ci

      - name: npm audit (production)
        run: npm audit --production --audit-level=high || true

      - name: Build application
        run: npm run build

  # ── Stage 5: Release ───────────────────────────────
  release:
    name: "Release — Image Scan + SBOM"
    runs-on: ubuntu-latest
    needs: [build]
    steps:
      - uses: actions/checkout@v4

      - name: Build Docker image
        run: |
          docker build -t antos-ui:ci -f ui-app/Dockerfile ui-app/

      - name: Trivy container scan
        uses: aquasecurity/trivy-action@master
        with:
          image-ref: antos-ui:ci
          format: table
          severity: HIGH,CRITICAL
          exit-code: 0

      - name: Syft SBOM generation
        uses: anchore/sbom-action@v0
        with:
          image: antos-ui:ci
          format: cyclonedx-json
          output-file: sbom.json

      - name: Upload SBOM artifact
        uses: actions/upload-artifact@v4
        with:
          name: sbom
          path: sbom.json

      # Cosign signing — uncomment when pushing to a container registry
      # - name: Cosign sign image
      #   uses: sigstore/cosign-installer@v3
      # - run: cosign sign --yes antos-ui:ci

  # ── Stage 6: Deploy ────────────────────────────────
  deploy:
    name: "Deploy — IaC + Policy Scan"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Checkov IaC scan
        uses: bridgecrewio/checkov-action@v12
        with:
          directory: .
          framework: dockerfile,github_actions
          quiet: true
          soft_fail: true

  # ── Security extras ────────────────────────────────
  security:
    name: "Security — Policy + Detection Rules"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Install OPA
        run: |
          curl -sSL -o opa https://openpolicyagent.org/downloads/latest/opa_linux_amd64_static
          chmod +x opa
          sudo mv opa /usr/local/bin/

      - name: Validate Rego policies
        run: |
          if [ -d "policies" ]; then
            opa check policies/
            echo "✓ All Rego policies are valid"
          else
            echo "ℹ No policies/ directory — consider adding OPA/Rego policies"
          fi

      - name: Validate Sigma rules
        run: |
          pip install sigma-cli
          if [ -d "rules/sigma" ]; then
            sigma check rules/sigma/
            echo "✓ All Sigma rules are valid"
          else
            echo "ℹ No rules/sigma/ directory — consider adding Sigma detection rules"
          fi

  # ── Stages 7-8: Runtime (not CI) ───────────────────
  # Operate & Monitor are runtime concerns, not CI jobs.
  # In production these are handled by:
  #   - Microsoft Sentinel (SIEM + KQL analytics)
  #   - Wiz (CNAPP + runtime threat detection)
  #   - ServiceNow (incident management + CMDB)
  #   - Defender for Cloud (CSPM + secure score)
  #   - AWS SecurityHub (compliance standards)
  # Claude orchestrates across all of these continuously.

Open-Source Tools

SemgrepLGPL

Lightweight SAST with OWASP, TypeScript, and React rulesets

Code
GitleaksMIT

Secret detection across git history and staged changes

Code
TrivyApache 2.0

Container image, filesystem, and IaC vulnerability scanning

Release
SyftApache 2.0

SBOM generation in CycloneDX and SPDX formats

Release
CheckovApache 2.0

IaC scanning for Dockerfiles, Terraform, and CI configs

Deploy
CosignApache 2.0

Keyless container signing via Sigstore transparency logs

Release
Every stage, explained
📐
Stage 1

Plan

Threat model before you build

Security starts at design time. We decompose every feature into trust boundaries, data flows, and threat surfaces using STRIDE methodology. Risk is rated before a single line of code is written.

Tools & Technologies

STRIDE

Systematic threat categorization framework

OWASP Risk Rating

Likelihood × impact scoring

Mermaid

MIT

Diagramming-as-code for threat models and architecture

Design Reviews

Peer-reviewed architecture decisions

Abuse Cases

Anti-requirements from attacker perspective

Key Metrics

100%
Threats Identified
12 models
Pre-Build Coverage
48
Risk Items Tracked

Example Output

plan-scan
┌─────────────────────────────────────────┐
│  STRIDE Analysis — Auth Service v2.3   │
├──────────┬──────────────────────────────┤
│ Spoofing │ JWT forgery via weak secret  │
│ Tamper   │ Session cookie manipulation  │
│ Repud.   │ Missing audit trail on MFA   │
│ Info     │ Token leakage in error resp  │
│ DoS      │ Brute-force login endpoint   │
│ EoP      │ Role escalation via API      │
├──────────┴──────────────────────────────┤
│ Risk: HIGH │ Mitigations: 6 required    │
└─────────────────────────────────────────┘
Pipeline integration: Threat models are version-controlled alongside code. Every PR that changes a trust boundary triggers a model review gate.

Claude's Role

Generates threat models from architecture descriptions

  • STRIDE analysis from design documents and architecture diagrams
  • Risk prioritization based on business context and attack surface
  • Attack tree generation from user stories and data flows
  • Abuse case derivation from functional requirements
claude — plan
> Analyze this microservice architecture for STRIDE threats
Claude: Identified 14 threats across 5 trust boundaries.
Top risk: Token replay on inter-service bus (Impact: HIGH)
Generating attack tree and mitigation recommendations...
💻
Stage 2

Code

Shift left — catch it at the keyboard

Developers get real-time security feedback in their IDE. Pre-commit hooks block secrets and vulnerable patterns before they enter version control. Branch protection enforces review requirements.

Tools & Technologies

Semgrep

LGPL

Lightweight static analysis with custom rules

Gitleaks

MIT

Pre-commit secret detection

Pre-commit Hooks

Automated gates before code enters VCS

Branch Protection

Enforced review + status checks

IDE Security Plugins

Real-time vulnerability highlighting

Key Metrics

340+
Secrets Blocked
<5 min
Avg Fix Time
97%
Pre-commit Pass Rate

Example Output

code-scan
$ git commit -m "feat: add payment endpoint"
Gitleaks .......................... PASSED
Semgrep (OWASP Top 10) ........... PASSED
Semgrep (custom rules) ........... FAILED
  ⚠  sql-injection: Unsanitized input in query
     → src/payments/handler.py:42
     Fix: Use parameterized query
Commit blocked — 1 finding to resolve.
Pipeline integration: Semgrep rules are centrally managed and auto-synced to all repositories. New rules deploy within minutes of a CVE disclosure.

Claude's Role

Reviews every PR for security issues in real time

  • PR-level security review with inline fix suggestions
  • Custom Semgrep rule generation from vulnerability patterns
  • Semantic secret detection beyond regex — context-aware classification
  • Dependency risk assessment on every package change
claude — code
> Review PR #412: Add payment processing endpoint
Claude: Found 3 issues in src/payments/handler.py:
  L42: SQL injection — use parameterized query (fix attached)
  L67: PII logged in plaintext — redact card_number
  L89: Missing rate limit on POST /charge
🔨
Stage 3

Build

Every build is a security checkpoint

CI pipelines run SAST, software composition analysis, and secrets detection on every push. Builds fail fast on critical findings — no vulnerable artifact reaches the registry.

Tools & Technologies

SAST

Deep static analysis of compiled artifacts

Snyk

SCA — known vulnerabilities in dependencies

TruffleHog

Entropy-based secrets detection in git history

License Compliance

OSS license risk analysis

Key Metrics

1,247
CVEs Caught
94%
Build Gate Pass
38s
Median Scan Time

Example Output

build-scan
▶ Build Pipeline — commit a3f8c21
  ✓ SAST scan .................. 0 critical, 2 medium
  ✓ Snyk SCA ................... 0 critical, 1 high
  ✗ TruffleHog ................. 1 SECRET FOUND
    → AWS_SECRET_ACCESS_KEY in config/deploy.yml:18
    → Entropy: 4.92 (threshold: 4.5)

BUILD FAILED — secret detected in source tree.
Rotate credential immediately.
Pipeline integration: SAST findings auto-create Jira tickets with severity-based SLAs. P1 vulnerabilities page the on-call security engineer.

Claude's Role

Triages and deduplicates SAST/SCA findings

  • Cross-scanner deduplication — merges overlapping findings
  • False positive classification using code context analysis
  • Auto-remediation PR generation for common vulnerability patterns
  • Contextual CVE impact assessment per application
claude — build
> Triage 47 findings from SAST + Snyk scan
Claude: Deduplicated to 31 unique issues.
  12 false positives (test fixtures, dead code paths)
  8 auto-fix PRs generated (dependency bumps)
  11 require manual review — prioritized by reachability
🧪
Stage 4

Test

Attack your own software first

Dynamic testing hammers running applications with real attack payloads. OWASP ZAP crawls every endpoint, Nuclei fires targeted exploit checks, and API fuzzers probe edge cases your unit tests miss.

Tools & Technologies

OWASP ZAP

Full-spectrum DAST scanner

Nuclei

MIT

Template-based vulnerability scanner

API Fuzzing

Schema-aware input mutation testing

Sigma

LGPL

Cross-platform detection format — compiles to KQL, SPL, etc.

Key Metrics

2,400+
Endpoints Scanned
18
DAST Findings
<3%
False Positive Rate

Example Output

test-scan
▶ DAST Scan — staging.example.com
  ZAP Spider: 847 URLs discovered
  Active Scan: 12,340 requests sent

  FINDINGS:
  ┌──────┬───────────────────────────────────┐
  │ HIGH │ SQL Injection — /api/users?id=    │
  │ MED  │ Missing CSP header on /dashboard  │
  │ MED  │ CORS wildcard on /api/public      │
  │ LOW  │ Server version disclosure          │
  └──────┴───────────────────────────────────┘
  Total: 1 High, 2 Medium, 1 Low
Pipeline integration: DAST runs nightly against staging and on-demand before production releases. Sigma rules convert findings to SIEM detection queries automatically.

Claude's Role

Correlates DAST results with known exploit chains

  • Prioritization by real-world exploitability, not just CVSS
  • CVE correlation — maps findings to active exploit campaigns
  • Attack chain reconstruction from individual findings
  • Test coverage gap identification across endpoints
claude — test
> Correlate 18 DAST findings with threat intel
Claude: SQL injection on /api/users matches CVE-2024-3094
  exploit chain. Active exploitation seen in the wild.
  Priority: CRITICAL — patch within 24 hours.
  3 findings linked to same root cause (input validation).
📦
Stage 5

Release

Sign it, scan it, ship it

Container images are scanned for OS and library vulnerabilities before registry push. Artifacts are cryptographically signed for supply chain integrity. SBOMs provide full transparency.

Tools & Technologies

Trivy

Apache 2.0

Container image + filesystem + IaC + SCA scanning

Cosign / Sigstore

Artifact signing and verification

Syft

SBOM generation (SPDX / CycloneDX)

Registry Policies

Admission rules for image provenance

Key Metrics

580
Images Scanned
100%
Signed Artifacts
100%
SBOM Coverage

Example Output

release-scan
▶ Release Gate — myapp:v2.3.1-rc1

  Trivy Scan:
    OS Packages ............ 0 critical, 3 high
    Language Libs .......... 0 critical, 0 high
    IaC Misconfigs ......... 0

  Cosign:
    ✓ Image signed with keyless (Fulcio + Rekor)
    ✓ Signature verified
    ✓ SBOM attached (CycloneDX, 342 components)

  RELEASE APPROVED — promoting to production registry.
Pipeline integration: Kubernetes admission controllers reject unsigned images. SBOM data feeds into dependency tracking dashboards for proactive CVE response.

Claude's Role

Validates supply chain integrity end-to-end

  • SBOM license risk analysis — flags viral/copyleft conflicts
  • Dependency risk scoring based on maintainer activity and CVE history
  • Automated security release notes from changelog + diff analysis
  • Supply chain anomaly detection — unexpected dependency changes
claude — release
> Analyze SBOM for myapp:v2.3.1-rc1
Claude: 342 components scanned.
  2 license conflicts (GPL in MIT-licensed project)
  1 abandoned dependency (no commits in 18 months)
  Supply chain integrity: VERIFIED — all signatures valid
🚀
Stage 6

Deploy

Infrastructure as code, policy as code

Every Terraform plan, CloudFormation template, and Kubernetes manifest is scanned for misconfigurations. OPA policy gates enforce organizational standards before any resource is provisioned.

Tools & Technologies

Checkov

Apache 2.0

IaC scanning for TF, CFN, Bicep, K8s manifests

tfsec

Terraform-specific static analysis

OPA / Rego

Apache 2.0

Policy engine — cloud-agnostic, pipeline-integrated

GitOps

Declarative deployment via pull-based reconciliation

Key Metrics

1,800+
IaC Checks
124
Policy Violations Blocked
Real-time
Drift Detection

Example Output

deploy-scan
▶ IaC Scan — terraform/production/

  Checkov:
    ✓ CKV_AWS_18: S3 bucket logging enabled
    ✓ CKV_AWS_19: S3 bucket encryption enabled
    ✗ CKV_AWS_145: KMS CMK not configured
    ✗ CKV_AWS_144: Cross-region replication disabled

  OPA Policy Gate:
    ✗ DENY: Instance type m5.24xlarge exceeds
      budget policy (max: m5.4xlarge)

  DEPLOY BLOCKED — 3 policy violations.
Pipeline integration: OPA policies are versioned and tested like application code. Policy changes go through the same PR review process as infrastructure changes.

Claude's Role

Enforces infrastructure policy with plain-language explanations

  • IaC misconfiguration fixes with human-readable explanations
  • OPA/Rego policy generation from natural language requirements
  • Drift analysis — detects and explains infrastructure state divergence
  • Least-privilege IAM policy generation from access patterns
claude — deploy
> Explain IaC violation CKV_AWS_145 and generate fix
Claude: KMS CMK not configured on S3 bucket "data-lake".
  Risk: Data encrypted with AWS-managed keys only.
  Fix: Add aws_kms_key resource + server_side_encryption
  configuration block. Terraform diff attached.
🛡️
Stage 7

Operate

Detect threats in real time

Runtime security monitors container behavior, network traffic, and system calls. WAF blocks application-layer attacks. SIEM correlates events across the entire stack for threat detection.

Tools & Technologies

Falco

Runtime container threat detection via syscall monitoring

WAF

Application-layer attack prevention

Microsoft Sentinel

Cloud-native SIEM with KQL analytics

EDR

Endpoint detection and response

Key Metrics

2.4M
Events/Day
<15 min
MTTD
100%
Alerts Actioned

Example Output

operate-scan
▶ Falco Alert — production-cluster

  14:23:07 CRITICAL: Shell spawned in container
    rule:    Terminal shell in container
    output:  Shell (bash) spawned by httpd
             (user=www container=api-prod-7f8c9
              image=myapp:v2.3.1)
    fields:  proc.name=bash proc.pname=httpd
             container.name=api-prod-7f8c9

  → Auto-response: Container isolated,
    SOC notified, forensic snapshot captured.
Pipeline integration: Falco rules map to MITRE ATT&CK techniques. Alerts trigger automated playbooks — isolate, snapshot, notify — before human review.

Claude's Role

Correlates alerts and writes incident summaries

  • Cross-source correlation — Falco + SIEM + EDR event fusion
  • Incident narrative generation with timeline reconstruction
  • Automated containment action recommendations
  • MITRE ATT&CK technique mapping for every alert cluster
claude — operate
> Correlate Falco alert with SIEM events
Claude: Shell spawn in api-prod-7f8c9 correlates with:
  - 14:22:51 Brute-force on /login (SIEM: 340 attempts)
  - 14:23:03 Successful auth from 185.x.x.x (new IP)
  ATT&CK: T1110.001 → T1059.004. Recommend: isolate pod.
📊
Stage 8

Monitor

Measure, report, improve

Continuous visibility across the entire pipeline. Vulnerability dashboards track mean time to remediate. Compliance evidence is automatically collected for SOC 2 and ISO 27001 audits.

Tools & Technologies

Vuln Dashboards

Real-time vulnerability posture visualization

SOC 2 / ISO 27001

Automated compliance evidence collection

IR Playbooks

Documented incident response procedures

Security KPIs

MTTR, coverage, SLA adherence tracking

Key Metrics

<4 hrs
MTTR (Critical)
98%
Compliance Score
100%
Pipeline Coverage

Example Output

monitor-scan
▶ Security Posture — February 2026

  ┌─────────────────────────────────────┐
  │ Vulnerability Summary               │
  ├───────────┬─────┬───────┬──────────┤
  │ Severity  │ Open│ Fixed │ MTTR     │
  ├───────────┼─────┼───────┼──────────┤
  │ Critical  │  0  │  12   │ 3.2 hrs  │
  │ High      │  3  │  89   │ 18 hrs   │
  │ Medium    │ 14  │ 247   │ 4.2 days │
  │ Low       │ 31  │ 580   │ 12 days  │
  └───────────┴─────┴───────┴──────────┘
  Compliance: SOC 2 Type II — PASSED
  Next audit: ISO 27001 — March 2026
Pipeline integration: Dashboards auto-generate board-ready reports. Compliance evidence is continuously collected — no last-minute scrambles before audits.

Claude's Role

Generates executive reports and identifies cross-stage trends

  • Board-ready security posture reports in plain language
  • Cross-stage trend analysis — spots systemic weaknesses
  • Compliance gap detection across SOC 2, ISO 27001, NIST
  • SLA breach prediction based on current remediation velocity
claude — monitor
> Generate executive security summary for February
Claude: Security posture improved 12% MoM.
  Critical MTTR: 3.2h (target: <4h) ✓
  Trend: 60% of high findings originate in Build stage
  → Recommend: additional SAST rules for Go services
  Compliance: SOC 2 Type II — all controls passing

AI-Orchestrated DevSecOps

Claude orchestrates all 8 stages — triaging findings, correlating signals, generating fixes, and writing reports. This is what a mature, AI-driven security pipeline looks like.