Description

This curriculum spans the full lifecycle of a current state data security assessment, comparable in scope to a multi-phase internal audit or consulting engagement, covering technical validation, policy alignment, and cross-functional coordination across identity, infrastructure, applications, and compliance domains.

Module 1: Scoping the Current State Security Assessment

Define the boundaries of systems, data repositories, and network segments to include in the assessment based on data sensitivity and regulatory exposure.
Select discovery tools that integrate with existing identity providers and cloud platforms to map user access across hybrid environments.
Determine whether to include third-party vendors and contractors in the assessment scope based on data access levels and contractual obligations.
Establish criteria for prioritizing business units or departments based on data volume, breach history, and criticality to operations.
Decide whether to conduct assessment activities during business hours or after hours to balance operational impact and detection accuracy.
Document exceptions for legacy systems that cannot support modern scanning tools due to technical constraints or unsupported operating systems.
Obtain legal and compliance sign-off on data collection methods to ensure alignment with privacy regulations such as GDPR or CCPA.
Coordinate with internal audit to align the current state analysis with upcoming compliance review cycles.

Module 2: Data Discovery and Classification

Deploy automated data discovery tools to identify structured and unstructured data across databases, file shares, and cloud storage.
Classify data based on sensitivity levels (public, internal, confidential, restricted) using predefined organizational policies.
Resolve conflicts between business unit data labeling and central security policy through cross-functional data governance meetings.
Implement pattern-based detection for regulated data types (e.g., SSN, credit card numbers) and validate false positive rates across different file formats.
Integrate data classification tags with existing DLP and IAM systems to enforce access controls.
Address shadow data stores created in collaboration platforms like SharePoint or Teams by extending classification workflows to SaaS applications.
Establish ownership attribution for orphaned data sets where no clear data steward can be identified.
Update classification rules quarterly to reflect changes in regulatory requirements or business operations.

Module 3: Identity and Access Management Review

Map user roles to job functions and validate access rights against principle of least privilege using access certification reports.
Identify and remediate privileged accounts with standing access that should be converted to just-in-time (JIT) models.
Assess the completeness of deprovisioning workflows by comparing HR offboarding records with IAM system disablement logs.
Review service account usage and enforce rotation policies for credentials used in automation scripts and integrations.
Evaluate MFA enforcement across user groups and identify exceptions required for legacy applications lacking modern authentication support.
Analyze role explosion in role-based access control (RBAC) systems and recommend consolidation or attribute-based access control (ABAC) alternatives.
Validate identity synchronization between on-premises directories and cloud providers to prevent stale account persistence.
Assess risk of overprivileged third-party integrations in SaaS platforms and enforce API token expiration policies.

Module 4: Infrastructure and Endpoint Security Evaluation

Inventory endpoints across corporate-managed, BYOD, and contractor devices using endpoint detection and response (EDR) tools.
Verify encryption status of laptops and mobile devices and identify devices with disabled or misconfigured full-disk encryption.
Review firewall rule sets for excessive permissive rules, particularly in cloud security groups and VPCs.
Assess patch compliance levels for operating systems and critical applications across server and desktop fleets.
Identify systems running in promiscuous mode or with unnecessary services enabled that increase attack surface.
Evaluate network segmentation effectiveness by testing lateral movement paths between business units and data tiers.
Validate configuration baselines are enforced using automated tools like Ansible, Puppet, or Microsoft Intune.
Document insecure protocols (e.g., SMBv1, Telnet) still in use and develop migration plans to secure alternatives.

Module 5: Application and API Security Analysis

Conduct code reviews or SAST scans on in-house developed applications to identify hardcoded secrets and injection vulnerabilities.
Map API endpoints exposed internally and externally and assess authentication and rate-limiting mechanisms.
Review third-party software components for known vulnerabilities using SBOMs and tools like Snyk or Dependency-Track.
Validate input validation and output encoding practices in web applications to prevent XSS and SQLi attacks.
Assess session management implementation, including token expiration and secure cookie attributes.
Identify applications with direct database access and recommend introduction of API gateways or service layers.
Evaluate use of insecure deserialization methods in backend services and recommend secure alternatives.
Review logging practices in applications to ensure sufficient detail for forensic investigations without exposing sensitive data.

Module 6: Data Protection and Encryption Inventory

Inventory encryption mechanisms in use for data at rest, in transit, and in use across databases, storage, and backups.
Verify TLS configurations across public-facing services and disable outdated versions (e.g., TLS 1.0, 1.1).
Assess key management practices and determine whether keys are stored in HSMs or cloud KMS with proper access controls.
Identify data encrypted with deprecated algorithms (e.g., DES, MD5) and prioritize migration to AES-256 or SHA-2.
Review backup encryption settings and validate that backup media cannot be restored without proper credentials.
Evaluate tokenization and masking strategies for test and development environments using production data.
Assess client-side encryption implementation in SaaS applications where the organization retains control of keys.
Document data residency implications of encryption key locations in multi-region cloud deployments.

Module 7: Logging, Monitoring, and Incident Detection

Assess log coverage across critical systems and identify gaps in authentication, access, and configuration change events.
Validate log retention periods meet regulatory requirements and ensure write-once, read-many (WORM) storage is used where required.
Review SIEM correlation rules for detection of suspicious activities like bulk data access or after-hours logins.
Evaluate EDR telemetry collection levels and ensure process execution, network connections, and file modifications are captured.
Test alerting workflows by simulating known attack patterns and measuring detection and response times.
Identify systems generating logs in proprietary formats and implement parsers or normalization scripts.
Assess integration between IAM and logging systems to enable user-contextual event analysis.
Review access controls for log data to prevent tampering or unauthorized viewing by administrative staff.

Module 8: Governance, Risk, and Compliance Alignment

Map current security controls to regulatory frameworks such as NIST, ISO 27001, HIPAA, or PCI-DSS using a control matrix.
Identify control gaps and assign remediation ownership based on RACI charts for accountability.
Review risk register entries related to data security and validate that risk treatment plans are up to date.
Assess effectiveness of security awareness training by analyzing phishing simulation results and helpdesk ticket trends.
Validate that third-party risk assessments include data security requirements and evidence of compliance.
Review board-level reporting practices to ensure timely communication of critical vulnerabilities and incidents.
Evaluate change management processes for security impact reviews prior to production deployments.
Document exceptions to security policies with risk acceptance forms signed by business owners and legal counsel.

Module 9: Reporting and Roadmap Development

Compile findings into an executive summary highlighting top risks, compliance exposure, and critical system vulnerabilities.
Develop a risk heat map to prioritize remediation efforts based on likelihood and business impact.
Define measurable KPIs for tracking progress on security improvement initiatives over time.
Structure remediation recommendations into short-term fixes, medium-term controls, and long-term architectural changes.
Estimate resource requirements (staff, tools, budget) for implementing key recommendations.
Align proposed roadmap with existing IT project portfolios to identify integration opportunities or conflicts.
Document assumptions and limitations of the current state analysis to set expectations for stakeholders.
Establish review cadence for updating the current state assessment based on organizational changes or threat landscape shifts.