PRE-VAPT WITH AI AGENTIC

Identify Potential Vulnerabilities Early Using an Agentic AI-Driven Approach.

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xhield.tech Pre-VAPT with Agentic AI


xhield.tech is the next-generation security intelligence layer from SkureCloud.com, designed to quantify risk before formal VAPT. By reasoning across architecture, code, cloud configuration, and identity boundaries, it discovers attack paths early and prioritizes remediation with probabilistic risk scoring.

Agentic AI Pre-VAPT
Agentic system overview

Agentic System Overview


Multiple cooperating agents work over a shared Security Knowledge Graph to continuously reason about exposure, dependencies, and remediation impact.

  • Attack Surface Discovery Agent
  • Dependency Intelligence Agent
  • Cloud Posture Reasoning Agent
  • Threat Modeling Agent
  • Risk Prioritization Agent
  • Remediation Intelligence Agent

Mathematical Risk Scoring


Risk is quantified using probabilistic attack-path modeling and impact weighting, producing a normalized score for fast prioritization.

R_system = Σ P(A_i) × I(A_i)
P(A_i) = Π P(s_j | s_{j-1})
R_norm = 100 × (1 − e^(−R_system))

Mathematical risk scoring

xhield.tech Features


Attack Surface Discovery

Continuously maps cloud assets, identities, and exposed services before deployment.

Dependency Intelligence

Correlates libraries, services, and misconfigurations to reveal hidden risk chains.

Probabilistic Risk Scoring

Bayesian learning and attack-path math prioritize the highest-impact fixes.

Cloud-Native Validation

Validated on AWS architectures with measurable risk reduction and ROI.

Team

Let's Talk Pre-VAPT


Ready to quantify risk before VAPT? Share your goals and we will get back to you shortly.

+91 (831) 081-0587
contact@skurecloud.com