Get in touch with us: 01952 264 124 | info@cyberdata.services
Get in touch with us:
SERVICES
TESTING
We offer expert-led testing services to assess and strengthen your security posture across networks, applications, cloud, and AI systems. Whether you need penetration testing, red teaming, or attack surface management, our CDS-TES programmes deliver manual, risk-based assurance with clear reporting and remediation validation. From rapid PTaaS call-offs to deep scenario-driven simulations, we help you uncover vulnerabilities, validate fixes, and uplift detection and response—aligned to your operational cadence and compliance goals.
External & Internal Network Penetration Testing
Manual, risk‑based testing to identify exploitable weaknesses in external and internal networks.
Typical inclusions:
Reconnaissance & Exploitation
Privilege Escalation / Lateral Movement Where In Scope
Fix‑Verified Retest
Executive & Technical Reports
Web Application Penetration
Targeted web app testing with option for automated WordPress assurance between manual tests.
Typical inclusions:
OWASP‑Aligned Manual Testing
Authenticated Flows Where Provided
Automated WordPress Scan/Report (optional)
Remediation Validation
Pen‑Testing‑as‑a‑Service (PTaaS)
Call‑off testing credits for rapid assurance after change; short, focused test windows.
Typical inclusions:
Credits Model & Cadence
Delta Testing After Releases
Lightweight Findings Notes
Red Teaming (with Purple Uplift)
Adversary simulation to test detection and response, with collaborative purple sessions to uplift controls.
Typical inclusions:
Scenario Design & ROE
Attack Paths & Objectives
Purple Workshops & Fixes
Final Report & Replay
Attack Surface Assessment & Management
Discover and track external exposure; prioritise risks and misconfigurations over time.
Typical inclusions:
Asset Discovery & Monitoring
Risk Scoring & Watchlist
Monthly Exposure Report
Cloud Configuration & Security Testing
Review of Azure/M365 configuration against best practice and misconfiguration classes that increase risk.
Typical inclusions:
Config Review & Evidence
Remediation Backlog
Fix Validation
Artificial Intelligence (AI) Testing
Artificial Intelligence (AI) testing is crucial for ensuring the reliability, security, and performance of AI systems, including chatbots and other AI-driven applications. The testing process involves evaluating various aspects of AI systems, such as:
Typical inclusions:
Functionality Testing
Ensuring that the AI system performs its intended functions correctly and efficiently.
Security Testing
Identifying and mitigating potential security vulnerabilities within the AI system to prevent unauthorized access and data breaches.
Performance Testing
Assessing the AI system’s performance under different conditions and workloads to ensure it meets the required standards.
Bias and Fairness Testing
Evaluating the AI system for potential biases and ensuring that it operates fairly across different user groups.
Explainability and Transparency Testing
Ensuring that the AI system’s decision-making processes are transparent and can be easily understood by users and stakeholders.