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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 →

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

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Built with VAPT partners · contact@xhield.tech