xhield.tech automates pre‑VAPT reconnaissance — discovering every API endpoint, exposed cloud resource, and risky dependency. Correlated into one risk‑prioritized view, before your pentest starts.
A four-step pipeline that gives your VAPT team the context they need before a single test is run.
Connect your Git repositories and AWS account. xhield parses Java/Spring and Python apps, scans EC2, RDS, S3, API Gateway, and Security Groups.
Endpoints are correlated to infrastructure. Vulnerabilities and misconfigurations are scored by exposure, criticality, and exploitability.
Risk-prioritized reports for VAPT teams — including a fix-before-VAPT checklist and export options for standard pentest tooling.
Dev and security teams get a unified view of the attack surface. Remediate before formal VAPT begins — reducing findings and costs.
Built for code‑to‑cloud correlation with VAPT‑specific context — not generic dependency scanning, SAST, or SBOM reports.
Automatically map every entry point across your codebase and cloud environment — before any tester touches your system.
Surface known misconfigurations and high-risk patterns before VAPT begins, so remediations happen on your schedule, not the tester's.
Go beyond CVE lists. Understand which vulnerable dependencies are actually reachable from an internet-facing endpoint.
Generic SAST sees code. Generic CSPM sees cloud. xhield sees both — and connects them into end-to-end risk paths your VAPT team can act on immediately.
xhield turns raw findings into attack-ready stories your VAPT team can act on before testing begins.
POST /api/users endpoint is exposed on a public EC2 instance with no IP allowlist, backed by a publicly accessible RDS database with encryption disabled. The endpoint processes user registration without rate limiting and lacks consistent authentication checks across all HTTP verbs. xhield surfaces this as a single high-risk path with step-by-step remediation guidance — long before VAPT begins.
Designed in collaboration with VAPT practitioners — not adapted from generic security tooling.
Preparing for an upcoming VAPT? Understand your full attack surface first, remediate the obvious issues, and go into testing with confidence — not surprises.
Run better engagements. xhield gives your VAPT team a structured, pre-correlated attack surface so testers focus on exploiting — not mapping.
In regulated industries where VAPT is a recurring requirement, xhield turns a reactive process into a proactive, repeatable workflow.
xhield uses Bayesian learning and attack-path mathematics to quantify risk with precision, not binary severity ratings.
Real-world examples of our Pre-VAPT security intelligence reports (anonymized for demonstration)
System Risk Score: 94/100 — NOT safe to ship. Actively exploited vulnerabilities confirmed reachable from public API endpoints.
Probabilistic
Revenue impact
Fixing top 3 paths reduces system risk to 34/100 (64% reduction)
Sample from enterprise Java application scan · Agentic AI analysis
CRITICAL
CRITICAL
Top 3 fixes: 4-6 hours · Reduces system risk to 28/100
Sample from SpringBoot application scan · Agentic AI analysis
Our reports provide actionable intelligence for both executive decision-making and technical remediation teams.
Request Your Custom Report →We're working closely with VAPT teams and security consulting partners — including Cyraacs — to validate the platform in real engagements before general availability.