Application Security Testing

Application Security Testing for Real Attack Surfaces

Application security testing is no longer limited to scanning a website for common vulnerabilities. Modern systems introduce risk through APIs, mobile apps, authentication flows, cloud configurations, third-party integrations, file handling, data exposure, and business logic.

Sampark tests applications from both an attacker’s perspective and a release-readiness perspective. The focus is on identifying exploitable weaknesses, validating access controls, assessing data exposure, reviewing integration points, and helping teams understand which findings pose real operational or business risk.

The outcome is clearer visibility into application security posture, vulnerable flows, exposed endpoints, misconfigurations, remediation priorities, and release-level security risk.

Security Testing With Practical Remediation Focus

Attack-Surface Driven Testing

Sampark tests applications across web, mobile, API, cloud-facing, workflow, authentication, integration, and data-exposure surfaces so coverage follows real system exposure.

Manual Validation Beyond Scanners

Automated tools help identify signals, but findings are validated through manual checks, request analysis, access-control testing, exploitability review, and false-positive filtering.

Code-Level Security Visibility

SAST and SonarQube-based review help identify insecure coding patterns, security hotspots, hardcoded secrets, weak validation, unsafe configuration, and dependency risks.

Closure-Oriented Remediation

Findings are supported with evidence, severity, affected endpoints, remediation direction, retesting, residual-risk discussion, and closure tracking before release decisions.

Clinical and Operational AI

Healthcare Intelligence & Automation

AI agents, NLP, and workflow intelligence for patient support, healthcare records, and hospital operations.

Clinical AI Stack

Patient Engagement AI Conversational support for patient journeys Clinical Workflow Support AI-assisted coordination across care teams Healthcare Document AI NLP extraction from records and reports Appointment & Query Automation AI agents for front-desk interactions Medical Knowledge Search RAG search across approved healthcare content Hospital Operations Insights AI detects delays, gaps, and service patterns

AI for Plants and Assets

AI for Plants, Assets & Operations

Machine learning, IoT signals, and agentic monitoring for manufacturing, maintenance, energy, and shopfloor intelligence.

Plant AI Layer

IIoT & IoT Integration AI-ready signals from machines and sensors Predictive Maintenance ML models predict early failure signals MES Intelligence AI visibility into production bottlenecks Shopfloor Monitoring Machine and operator activity intelligence Energy & Asset Insights AI detects abnormal usage and drift Plant Command View AI-assisted operational decision layer

Computer Vision AI

Computer Vision for Real-World Events

Vision AI for workplace safety, surveillance intelligence, restricted zones, movement analysis, and visual evidence workflows.

Vision AI Layer

Intelligent Video Surveillance AI detection over live camera streams Safety Violation Detection Computer vision for PPE and unsafe actions Restricted Area Monitoring AI watches mapped zones and boundaries People & Crowd Analytics Density, movement, and congestion intelligence Vehicle & Gate Intelligence AI-enabled entry and vehicle visibility Event Alerts & Evidence Visual proof for incidents and actions

Workflow and Document AI

Intelligent Workflow & Document Automation

AI agents that classify work, read documents, recommend actions, and move business processes with human control.

Agentic Workflow AI

Workflow Automation AI-guided approvals, tasks, and escalations Intelligent Task Routing AI classifies and assigns business work Document Processing OCR and NLP for document understanding Decision Support Automation AI recommendations for operational decisions Omnichannel Automation AI responses across business channels Exception Management AI detects process delays and SLA risk

Copilots and Knowledge AI

Enterprise Copilots, RAG & Knowledge AI

Enterprise-grade GenAI using approved knowledge, role-aware copilots, document intelligence, and governed AI responses.

RAG & Agents

Enterprise AI Chatbots GenAI support for customers and employees Internal Copilots Role-aware assistants for business teams Knowledge Search / RAG Answers grounded in approved documents Document Summarization LLMs convert long content into insights Business Query Assistant Ask business questions in natural language GenAI Governance Access, audit, and controlled AI behavior

Security Intelligence Layer

AI-Driven Security Operations

AI for threat correlation, anomaly detection, vulnerability prioritization, SOC/NOC assistance, and security response workflows.

AI SecOps

AI Network Security ML detects unusual traffic behavior Threat Correlation AI connects alerts, assets, and users Anomaly Detection Models identify abnormal activity patterns SOC / NOC Intelligence AI support for triage and investigation Vulnerability Intelligence Risk-based AI prioritization of exposure OT / IoT / IIoT Security AI monitoring for connected industrial assets

Forecasting and Decision AI

Forecasting, Risk & Decision Intelligence

Predictive models and GenAI summaries that surface demand signals, risk patterns, operational drift, and decision-ready insights.

Predictive AI

Demand Forecasting ML forecasts volume, demand, and pressure Pattern Discovery AI finds hidden operational trends Risk Prediction Models predict failures and delays Performance Insights AI highlights bottlenecks and gaps Asset Health Insights AI tracks condition and behavior drift Management Decision Views GenAI summaries for leadership action

Security Testing Across Modern Application Attack Surfaces

Web Application Security Testing

API Security Testing

Mobile Application Security Testing

Application VAPT and Exploit Validation

SAST, SonarQube and Secure Code Review

Business Logic and Abuse-Case Testing

Expose Security Gaps Before They Become Incidents