Discovery and Data Analysis

IT discovery is the process of identifying, mapping, and documenting the IT assets and dependencies within an organisation and turning it into actionable information. This information is the cornerstone of IT infrastructure optimisation, cost reduction, performance improvement, and strategic decision making.

In the modern digital workplace, comprised of disparate cloud and on-premise systems, identities are the blue that binds technology ecosystem together. IT discovery in the identity space poses several technical challenges, such as:

• Complexity and diversity of identity systems and platforms, such as cloud, on-premises, hybrid, mobile, and social, which require different methods and tools for discovery.
• Lack of standardisation and interoperability among identity protocols, formats, and frameworks, such as Security Assertion Markup Language (SAML), OAuth, OpenID Connect, System for Cross-domain Identity Management (SCIM), and Fast Identity Online (FIDO), which create compatibility and integration issues.
• Dynamic and evolving nature of identity requirements and regulations, such as General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), National Institute of Standards and Technology (NIST), and International Organization for Standardization (ISO), which demand constant updates and compliance checks.
• Increasing volume and variety of identity data and attributes, such as biometrics, behavioural, and contextual, which pose challenges for data quality, storage, and analysis.
• Emerging threats and risks to identity security and privacy, such as phishing, identity theft, data breaches, and cyberattacks, which require robust and resilient discovery mechanisms.

Our proprietary automation suite (MST),  proven techniques and skills assist our clients to cope with the complexity and diversity of identity systems and platforms and provide a centralised framework to manage various systems with ease.