Coming soon

Complete pre‑VAPT attack surface intelligence from code to cloud — before VAPT begins.

xhield.tech automates pre‑VAPT reconnaissance by discovering every API endpoint, exposed cloud resource, and risky dependency — then correlating them into a single risk‑prioritized view for security, dev, and VAPT teams.

Save 8–16 hours per VAPT engagement

40–60% fewer VAPT findings after remediation

Designed with VAPT partners like Cyraacs

Request early access View the 3 MVP capabilities

Built for teams preparing for VAPT: product companies, security consulting firms, and DevSecOps teams that need a complete, validated attack surface before testing begins.

MVP Focus

Three capabilities, one unified pre‑VAPT view

Use Case 1

Complete attack surface discovery

Use Case 2

Vulnerability pre‑screening

Use Case 3

Dependency & infra risk analysis

From PRD — Weeks 1–6 MVP scope

Code: Discover REST, GraphQL, gRPC endpoints, file uploads, and auth boundaries.
Cloud: Map public EC2, RDS, S3, load balancers, and internet‑facing services.
Correlation: Connect APIs to the exact cloud resources and data stores they touch.
Prioritization: Score risk using exposure, criticality, and vulnerability context.

Who it’s for

• Product teams preparing for upcoming VAPT
• Security consulting firms (e.g. Cyraacs)
• DevSecOps teams in regulated industries

Why it’s different

Code‑to‑cloud correlation with VAPT‑specific context — not just dependency scanning, SAST, or generic SBOM reports.

From repo & cloud account to attack surface report in minutes

1. Code & cloud ingestion

Connect your Git repositories and AWS account. xhield.tech parses Java/Spring and Python apps, and scans AWS (EC2, RDS, S3, API Gateway, Security Groups) for exposed resources.

2. Correlation & scoring

We correlate endpoints to infrastructure, analyze vulnerabilities and misconfigurations, and score each path by exposure, criticality, and exploitability.

3. Pre‑VAPT intelligence

Generate risk‑prioritized reports for VAPT teams, including a fix‑before‑VAPT checklist and export options for VAPT tooling.

4. Clear next steps

Dev and security teams get a shared view of the attack surface, enabling remediation before formal VAPT begins.

Backed by a Python‑first engine that combines AST‑based code analysis, cloud configuration scanning, and correlation logic into a single workflow.

From isolated issues to end‑to‑end risk paths

xhield.tech turns raw findings into attack‑ready stories your VAPT team can act on immediately.

Critical — Public endpoint → public DB → no encryption

Example: POST /api/users exposed on a public EC2 instance, backed by a publicly accessible RDS database with no encryption. xhield.tech surfaces this as a single, high‑risk path with remediation guidance, long before VAPT begins.

Launching with select VAPT partners & early adopters

We are working closely with VAPT teams and security consulting partners to validate the xhield.tech Pre‑VAPT Intelligence Platform in real engagements before general availability.

Share a bit about your stack (languages, cloud provider, VAPT cycle) and we’ll follow up with private beta details, timelines, and next steps.