SECURE · Data Security and Encryption
Protect Sensitive Data Wherever It Lives and Moves.
We classify data, prevent leakage and engineer encryption, key management and data security posture management.
- Lower breach exposure
- Demonstrable data protection controls
- Control over encryption keys
- 1Define Scope and Owners
- 2Discover and Classify
- 3Design Protective Controls
- 4Deploy and Tune
- 5Monitor and Evidence
Executive Summary
- 01Data protection works only when discovery, classification, encryption and key control operate as one system.
- 02Encryption does not stop theft of readable data, so leakage prevention and access visibility must run alongside it.
- 03Evidence of how controls operate matters as much as the controls, because regulators and auditors ask for proof.
The Challenge
Organizations often cannot say where their most sensitive data is stored or who can reach it.
Data stolen before encryption is now routinely used for extortion.
The DAAKYI Approach
DAAKYI classifies data, applies loss prevention and encryption in line with its sensitivity, and establishes key management practices.
Data security posture management keeps visibility current as data spreads.
- 01
Data classification and protection
- 02
Data loss prevention
- 03
Encryption and key management
- 04
Data security posture management
In Depth
How the Discipline Works
Discovery and Classification First
Protection starts with knowing what exists. Discovery scans file shares, databases, object storage, SaaS platforms, endpoints and backups to find regulated and business-critical data. Each finding is matched against a classification scheme, usually a small set of tiers such as public, internal, confidential and restricted. Tiers matter because they drive handling rules: who may access the data, whether it must be encrypted, where it may be stored and how long it is kept. Without tiers, every control is either applied everywhere at high cost or applied nowhere with confidence. Good classification combines pattern matching, context, and input from data owners who understand business meaning.
Encryption Depends on Key Custody
Encryption turns stolen data into unreadable data, but only if the keys are protected. Data is encrypted at rest in storage and databases, in transit across networks, and sometimes in use through application-level or field-level methods. The harder question is key management. Keys should be generated in hardened modules, rotated on a schedule, separated from the data they protect and restricted by role. Every use of a key should be logged. If an administrator can read both the encrypted data and its key, encryption adds little. Custody decisions also affect jurisdiction, because whoever holds the key can ultimately decide who reads the data.
Covering Data in Motion and at Rest
Data loss prevention inspects data as it moves through email, web uploads, endpoints, removable media and cloud applications. Policies match content and context, then allow, warn, encrypt or block. New policies usually start in monitor mode so teams can measure false positives before enforcement. Data security posture management complements this by continuously mapping data stores, their contents, their exposure and the identities that can reach them. It surfaces risks such as public storage buckets, stale copies in test environments and over-permissive service accounts. Together, these disciplines cover data in motion and data at rest, and both depend on the classification scheme to know what matters.
You cannot protect data you cannot find, and encryption is only as strong as the control over its keys.
Capability Matrix
What the Service Includes
| Capability | Coverage | GUIDE | SECURE | OPERATE | Delivered Through |
|---|---|---|---|---|---|
| Classification and Protection | Labels and handling rules. | – | SECURE stage | – | Project Implementation |
| Data Loss Prevention | Leakage blocked across channels. | – | SECURE stage | – | Project Implementation |
| Encryption and Key Management | Keys controlled and auditable. | – | SECURE stage | – | Project Implementation |
| Data Security Posture Management | Continuous visibility of data risk. | – | SECURE stage | – | Project Implementation |
Classification and Protection
Labels and handling rules.
- Stage
- SECURE
- Delivered Through
- Project Implementation
Data Loss Prevention
Leakage blocked across channels.
- Stage
- SECURE
- Delivered Through
- Project Implementation
Encryption and Key Management
Keys controlled and auditable.
- Stage
- SECURE
- Delivered Through
- Project Implementation
Data Security Posture Management
Continuous visibility of data risk.
- Stage
- SECURE
- Delivered Through
- Project Implementation
How It Works
How Data Security and Encryption Works
- 01Discover
- 02Classify
- 03Protect
- 04Monitor
Methodology
The Method, Step by Step
- 1
Define Scope and Owners
Agree which business processes, jurisdictions and data types are in scope. Name an owner for each data domain. Owners decide sensitivity, approve access and accept residual risk. This step also records legal obligations, such as registration duties and breach notification, so controls trace back to requirements.
- 2
Discover and Classify
Scan structured and unstructured repositories, including cloud storage, SaaS and backups. Apply the classification scheme through automated detection and owner review. Record location, volume, format and access paths for each class. The output is an inventory that shows where restricted data sits and who can reach it.
- 3
Design Protective Controls
Map each class to required controls: encryption standard, key hierarchy, DLP policy, access model and retention rule. Prefer controls that follow the data, such as labels and encryption bound to identity. Review designs against threat scenarios, including insider copying, stolen credentials and misconfigured storage.
- 4
Deploy and Tune
Roll out in phases, beginning with monitor-only policies on the highest-risk channels. Review alerts with data owners, refine detection rules and tune exceptions. Move to enforcement only when false positives are understood. Migrate keys into managed custody with documented rotation, backup and recovery procedures.
- 5
Monitor and Evidence
Track new data stores, permission drift and policy violations continuously. Report exposure trends to owners and security leadership. Test key recovery and revocation periodically. Keep records of decisions, exceptions and control operation so auditors and regulators can verify protection without reconstructing history.
Operating Model
Delivered from the SECURE Pillar
Pillar position
SECURE
Engineering, Architecture & Implementation
Engagement model
Project Implementation
Design and deployment of security technologies.
Best for · Modernization and transformation
Threat Scenarios
What It Looks Like in Practice
Exfiltration Before Encryption
How It Shows Up
Large archives leave the network to unfamiliar destinations days before any ransom note appears.
Response
Egress monitoring and DLP policies on restricted data flag or block bulk transfers, while posture mapping shows which stores an intruder could have reached.
Insider Copying to Personal Cloud
How It Shows Up
A departing employee uploads customer files to a personal storage account or forwards them to private email.
Response
Endpoint and cloud DLP detect the labeled content and block or escalate the transfer, preserving evidence for investigation.
Exposed Storage in Cloud
How It Shows Up
A storage bucket or database snapshot becomes reachable from the internet after a configuration change.
Response
Posture management detects the exposure and the sensitive content inside it, then routes a prioritized fix to the data owner.
Key and Administrator Over‑Reach
How It Shows Up
One privileged account can read encrypted databases and also export or use the keys that protect them.
Response
Key policy separates duties, requires approval for sensitive key operations and logs every use for review.
| Scenario | How It Shows Up | Response |
|---|---|---|
| Exfiltration Before Encryption | Large archives leave the network to unfamiliar destinations days before any ransom note appears. | Egress monitoring and DLP policies on restricted data flag or block bulk transfers, while posture mapping shows which stores an intruder could have reached. |
| Insider Copying to Personal Cloud | A departing employee uploads customer files to a personal storage account or forwards them to private email. | Endpoint and cloud DLP detect the labeled content and block or escalate the transfer, preserving evidence for investigation. |
| Exposed Storage in Cloud | A storage bucket or database snapshot becomes reachable from the internet after a configuration change. | Posture management detects the exposure and the sensitive content inside it, then routes a prioritized fix to the data owner. |
| Key and Administrator Over‑Reach | One privileged account can read encrypted databases and also export or use the keys that protect them. | Key policy separates duties, requires approval for sensitive key operations and logs every use for review. |
Outcomes
What Your Institution Gains
- Lower breach exposure
- Demonstrable data protection controls
- Control over encryption keys
Deliverables and Roles
What You Receive, and Who Does What
| Deliverable | Purpose |
|---|---|
| Data Inventory and Classification Scheme | Shows where sensitive data lives and defines the tiers that drive every other control. |
| Data Handling Standard | States storage, sharing, retention and disposal rules for each classification tier. |
| Encryption and Key Management Standard | Fixes algorithms, key hierarchy, rotation, custody and recovery rules. |
| DLP Policy Set and Tuning Log | Documents what is detected, what action follows and why thresholds were changed. |
| Data Risk and Posture Report | Ranks exposed stores, risky permissions and policy gaps for remediation. |
| Role | Responsibility |
|---|---|
| Data Owner (Client) | Decides the sensitivity of a data domain and approves who may access it. |
| Chief Information Security Officer (Client) | Sets data protection policy and accepts risk that owners cannot resolve. |
| Key Custodian (Client or Provider) | Operates key lifecycle procedures under separation of duties and dual control. |
| Data Security Engineer (Provider) | Builds and tunes discovery, DLP, encryption and posture tooling against the agreed standards. |
Maturity Model
Where Organizations Typically Stand
Stage 1
Ad Hoc
Encryption is applied inconsistently, nobody holds a reliable inventory of sensitive data, and leaks are found by outsiders.
Stage 2
Defined
A classification scheme and encryption standard exist, but enforcement varies by team and key handling is manual.
Stage 3
Managed
Discovery, DLP and central key management operate across major repositories, with owners reviewing exposure regularly.
Stage 4
Adaptive
Posture data updates continuously, policies change as data moves, and control evidence is produced as a by-product of operations.
Frameworks and Regulation
The Standards That Shape This Work
ISO/IEC 27001:2022 and 27002:2022
Annex A contains 93 controls organized into four themes. Technological controls cover information classification, cryptography, and data leakage prevention, while ISO/IEC 27002 provides guidance on implementation.
NIST CSF 2.0
Identify covers asset and data understanding, Protect covers data security safeguards, and Govern sets the policy and accountability that keep them consistent.
PCI DSS v4.0.1
It requires that stored account data be protected, that strong cryptography be used during transmission, and that cryptographic keys be managed. Requirements in the standard that had been future-dated became mandatory on March 31, 2025.
Ghana Data Protection Act, 2012 (Act 843)
One of its eight privacy principles is data security safeguards. Encryption, access control and leakage prevention are practical ways controllers meet it.
Buyer Guidance
Choosing the Right Provider
What to look for
- A provider should start with discovery and ownership rather than selling a tool before data is understood.
- Key management design should show who can use, export and recover keys, not only which algorithm is used.
- DLP rollout should include monitor-only phases and documented tuning, so business workflows are not broken.
- Deliverables should map controls to specific legal and framework requirements that auditors can test.
Questions to ask a provider
- How will you find sensitive data in unstructured files, SaaS applications and backups?
- Who holds the master keys, and how are recovery and revocation tested?
- How do you measure and reduce false positives before blocking is enabled?
- Can you show how a control maps to a named requirement and produces evidence?
Regulatory & Industry Context
The Obligations This Service Supports
Controls support Act 843, GDPR, HIPAA and PCI DSS data protection requirements.
Frameworks DAAKYI helps clients implement
- Ghana Act 843
- GDPR
- HIPAA
- PCI DSS
Framework references describe client implementation support, not DAAKYI certifications.
Technical Detail
For Architects and Security Leads
Framework and regulatory alignment
- Ghana Act 843
- GDPR
- HIPAA
- PCI DSS
Controls support Act 843, GDPR, HIPAA and PCI DSS data protection requirements.
Architecture reference
How Data Security and Encryption Works: Discover → Classify → Protect → Monitor.
DAAKYI classifies data, applies loss prevention and encryption in line with its sensitivity, and establishes key management practices.
Envelope Encryption and Key Hierarchy
Most production designs use envelope encryption. A unique data encryption key protects each object, volume or database, and a key encryption key held in a hardware security module or managed key service wraps the data key. Only the wrapped key is stored beside the data. Rotating the key encryption key means rewrapping small keys rather than re-encrypting large datasets. Access to unwrap operations is governed by policy tied to workload identity, and every call is logged. Separate key hierarchies per environment and per data class limit blast radius. Backup of key material must be as controlled as the keys themselves, with split knowledge or quorum approval for recovery.
DLP Detection Techniques and Tuning
DLP engines identify sensitive content with several techniques. Regular expressions with checksum validation catch structured identifiers such as payment card numbers. Exact data matching compares content against hashed records from a source database. Document fingerprinting recognizes templates and derivatives of protected files. Trainable classifiers and sensitivity labels cover unstructured material where patterns fail. Accuracy depends on combining content with context: sender, destination, device posture and user risk. Tuning cycles adjust thresholds, proximity rules and allow-lists using real incident samples. Encrypted traffic needs inspection at the endpoint, proxy or cloud application programming interface, because network sensors cannot read it. Each policy should state its action, its owner and its review date.
Glossary
Key Terms
- Envelope Encryption
- A method where a data key encrypts the data and a separate master key encrypts the data key.
- Hardware Security Module
- A tamper-resistant device that generates and uses cryptographic keys without exposing them.
- Tokenization
- Replacing a sensitive value with a surrogate that has no usable meaning outside a protected mapping system.
- Exact Data Matching
- A DLP technique that compares content with hashed records from a source database to cut false positives.
Related
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Proof Points
What We Can Stand Behind
- Every stage of DAAKYI's delivery methodology produces documented, auditable deliverables.
FAQ
Questions Leaders Ask
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