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Continuous Monitoring · 2026 · Real-time Risk Visibility

Know what changed in your
attack surface
before attackers do

xhield continuously monitors your external attack surface and dependencies, highlighting new risks every day — not just before a VAPT.

6 Cooperating AI Agents
0–100 Probabilistic Risk Score
8–16h saved per engagement
xhield — attack-surface-scan
# Agentic AI Pre-VAPT Intelligence Engine
$ xhield scan --repo github/acme-api --aws us-east-1 --agentic
 
Attack Surface Discovery Agent initialized
Parsing AST — 3,421 files · 147 endpoints
Cloud Posture Agent — AWS resources: 38
 
Threat Modeling Agent — reasoning attack paths
Risk Prioritization Agent — Bayesian scoring
 
● RISK: 94/100 POST /api/users
     P(exploit) = 0.87 · Impact = Critical
     Attack path: Public EC2 → RDS (no encryption)
 
● RISK: 72/100  GET /api/admin/users
     P(exploit) = 0.65 · S3 public read exposure
 
Remediation Intelligence Agent — fix guidance ready
Pre-VAPT Intelligence Report: xhield-report.pdf
$

What changed since
your last scan?

xhield continuously monitors your attack surface and highlights exactly what's different — so you can focus on what matters.

Since your last scan:

+ 3 new subdomains detected
+ 1 exposed port (8080)
+ 2 vulnerable dependencies added
+ 1 expired SSL certificate
Risk Impact
These changes increase your attack surface exposure by 27%. Immediate action recommended on the expired SSL certificate and exposed port 8080.
# Change Detection Example
$ xhield diff --since=7d
 
Analyzing changes since 2026-04-21
 
● NEW: api.example.com (A: 52.215.123.45)
     Port 8080 exposed (Tomcat admin)
     Risk: 78/100 (Public admin interface)
 
● NEW: blog.example.com (CNAME: github.io)
     GitHub Pages deployment detected
     Risk: 23/100 (Low exposure)
 
● VULN: Spring Boot 2.6.4 → 2.6.5
     CVE-2022-22965 (Spring4Shell) patched
     Risk reduced by 45 points
 
● EXPIRED: *.example.com SSL cert
     Expired 2026-04-15 (3 days ago)
     Risk: 92/100 (Man-in-the-middle possible)
Start Monitoring Changes →

How it works

Three simple steps to continuous attack surface intelligence

1

Discover all exposed assets

(domains, ports, APIs, dependencies)

2

Detect what changed since last scan

(continuous monitoring & change detection)

3

Highlight exploitable risks

(prioritized by impact & exploitability)

Why not just VAPT?

Annual VAPT finds issues once a year. Your attack surface changes every day.

Annual VAPT

×
Once a year visibility
Issues found during VAPT may have existed for months
×
Reactive approach
Fix issues after they're discovered by testers
×
Point-in-time snapshot
No visibility into daily changes and emerging risks
Result
The day after VAPT feels safe
but risks accumulate daily

xhield Continuous Monitoring

Continuous visibility
Know what changed every single day
Proactive approach
Fix issues before they become exploitable
Real-time intelligence
Change detection and risk prioritization 24/7
Result
Every day feels like the day before VAPT
not the day after

Why xhield is different

Built from the ground up for continuous monitoring, not one-time reports

Differentiation 01

Combines infrastructure + dependency intelligence

Most tools focus on either infrastructure or dependencies. xhield correlates both to give you complete attack surface visibility.

  • Unified view of code + cloud + dependencies
  • Correlation between exposed endpoints and vulnerable packages
  • Single source of truth for attack surface risks
01
Differentiation 02

Detects changes, not just static vulnerabilities

Static scanning gives you a point-in-time view. xhield continuously monitors and highlights exactly what changed since your last scan.

  • Daily change detection and alerts
  • Focus on new risks, not old findings
  • Continuous monitoring vs. one-time reports
02
Differentiation 03

Built for continuous monitoring, not one-time reports

Traditional security tools are built for periodic assessments. xhield is designed for daily security operations and continuous improvement.

  • Real-time risk visibility 24/7
  • Daily alerts on critical changes
  • Proactive security posture management
03

From isolated issues
to end‑to‑end risk paths

xhield turns raw findings into attack-ready stories your VAPT team can act on before testing begins.

Critical Risk Path
FINDING-0041 · Detected via AST + AWS scan
POST /api/users
Public EC2 instance
Public RDS · No encryption
PII exposure
The 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.
Auth: Missing Encryption: None Exposure: Public OWASP: A01 OWASP: A02 CWE-306 Fix available
8–16h saved per VAPT engagement
40–60% fewer findings after pre-remediation
Minutes from repo + cloud account to full report

Built for modern
security teams

Continuous attack surface intelligence for every role that needs security visibility.

For CISOs

Continuous visibility into your organization's security posture with compliance-ready reporting and risk prioritization.

  • Continuous visibility
  • Compliance readiness (CERT-In aligned)
  • Risk prioritization

For DevOps / Developers

Detect and fix security risks before deployment with CI/CD integration and dependency-level insights.

  • Detect risks before deployment
  • CI/CD integration ready
  • Dependency-level insights

For Startups

Affordable attack surface visibility without the need for full VAPT cycles or dedicated security teams.

  • Affordable attack surface visibility
  • No need for full VAPT cycles
  • Startup-friendly pricing

Probabilistic Risk
Scoring Foundation

xhield uses Bayesian learning and attack-path mathematics to quantify risk with precision, not binary severity ratings.

Attack Path Probability Model

System Risk:
R_system = Σ P(A_i) × I(A_i)
Attack Path Probability:
P(A_i) = Π P(s_j | s_{j-1})
Normalized Risk Score:
R_norm = 100 × (1 − e−R_system)

Why This Matters

  • Probabilistic vs. Binary
    Risk scored 0–100, not just "Critical/High/Medium/Low"
  • Attack Path Reasoning
    Correlates isolated findings into end-to-end exploit chains
  • Impact Weighting
    Business impact quantified alongside technical exposure
  • Bayesian Learning
    Continuously refines predictions with new evidence

Sample Security
Intelligence Reports

Real-world examples of our Pre-VAPT security intelligence reports (anonymized for demonstration)

CISO Executive Report

AI Risk Verdict

System Risk Score: 94/100 — NOT safe to ship. Actively exploited vulnerabilities confirmed reachable from public API endpoints.

Top Attack Paths Identified:

  • P(exploit) = 0.87 · Actively Exploited CVEs reachable
  • P(exploit) = 0.76 · Critical dependency chain exposure
  • P(exploit) = 0.65 · Public S3 bucket with PII

Business Impact Assessment:

94/100 System Risk Score

Probabilistic

$1M-$51M Est. Incident Cost

Revenue impact

Remediation Impact Prediction:

Fixing top 3 paths reduces system risk to 34/100 (64% reduction)

Sample from enterprise Java application scan · Agentic AI analysis

DevOps Engineer Report

AI-Prioritized Remediation
78/100 App Security Risk

CRITICAL

98/100 Dependency Risk

CRITICAL

Attack Path Severity Distribution:

12
Risk 80+
28
Risk 50-79
15
Risk 20-49
8
Risk <20

AI-Recommended Fix Priority:

  • Patch actively exploited CVEs (P=0.87 impact)
  • Rotate hardcoded secrets in configuration
  • Enable encryption on public RDS instances

Estimated Remediation Time:

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 →

Latest from
the xhield.tech blog

Deep dives on Pre-VAPT, VAPT, attack surface discovery, and real-world security workflows.

Launching with select VAPT partners & early adopters

We're working closely with VAPT teams and security consulting partners — including Cyraacs — to validate the platform in real engagements before general availability.

Join the Private Beta →
Built with VAPT partners · contact@xhield.tech