Discover Sensitive Data
Identify relevant records, files, copies, and repositories within the agreed assessment scope.
Data Security Services
Data Security Services for Sensitive
Data Across Your Business
Codiste helps security, IT, and data leaders discover sensitive information, restrict access, and strengthen protection across cloud platforms, business applications, and AI workflows.
Sensitive Data Spreads Faster Than Access Controls
Customer records appear in exports, test databases, shared folders, and analytics platforms. Without a sensitive data inventory, teams cannot consistently apply ownership, retention, or protection rules.
Broad roles, shared credentials, and outdated contractor permissions expose more records than a task requires. Encryption alone cannot stop an authorised account from reading data it should never have received.
Copilots, retrieval indexes, and agent tools can inherit excessive permissions. Our data security services trace these paths and apply controls where information is stored, retrieved, shared, and changed.
What Are Data Security Services?
Data security services protect information against unauthorised access, disclosure, alteration, and loss. They include discovery, classification, access control, encryption, monitoring, and recovery planning across the data lifecycle. The work identifies sensitive information, assesses exposure, implements safeguards, and tests whether those safeguards support authorised use while restricting prohibited activity.
Data security consulting establishes priorities; implementation puts controls into operation. Codiste connects both, with defined ownership, documented exceptions, and validation evidence your security and engineering teams can review.
Data Security Services We Deliver
Start with discovery, address a known exposure, or strengthen protection across a priority data workflow. Each service produces a defined operational deliverable.
Our Data Security Frameworks and Technology Stack
NIST Cybersecurity Framework
NIST SP 800-207
CIS Controls
Microsoft Purview
Amazon Macie
Google Cloud Sensitive Data Protection
Microsoft Entra ID
AWS IAM
Google Cloud IAM
Okta
AWS KMS
Azure Key Vault
Google Cloud KMS
HashiCorp Vault
Microsoft Purview DLP
Microsoft Sentinel
Splunk Enterprise Security
AWS Backup
Azure Backup
Google Cloud Backup and DR
Veeam
How We Deliver Data Security Services
Four stages connect risk assessment with tested controls. We agree scope, change approvals, and acceptance criteria before implementation.
1. Discover & Assess
Review priority systems, data types, identities, sharing paths, and controls using approved access. Separate confirmed findings from open questions. You receive an inventory, risk findings, and a remediation roadmap.
2. Design the Controls
Select controls by sensitivity, business use, and platform capabilities. Define access rules, key ownership, and monitoring coverage in a rollout sequence. You receive an architecture, control matrix, and plan.
3. Implement & Test
Configure controls in an agreed test scope, then validate permitted and prohibited actions. Check compatibility, false positives, logging, and rollback. You receive safeguards, test evidence, and deployment guidance.
4. Operate & Improve
Hand over runbooks, train owners, and set review schedules. Where support is included, monitor agreed sources and review access changes. You receive operating guides, escalation paths, and a support plan.
Find Your Most Important Data Security Gaps
Bring your priority systems and data concerns. We’ll help define a focused assessment with clear coverage, risk priorities, and practical next steps.
Scope your data security assessmentHow Our Data Security Architecture Works
The data security path
Classify and Map
Link sensitivity and ownership to data flows, recipients, and handling requirements.
Apply Protection
Enforce permissions, encryption, masking, tokenization, and sharing policies at supported control points.
Detect and Respond
Collect relevant audit events, investigate alerts, and route incidents to accountable owners.
Review and Recover
Reassess access, remove unnecessary copies, and test restoration against recovery requirements.
Identity
Verify users, workloads, and agent identities before granting scoped access.
Keys
Separate key administration from data use and maintain recovery procedures.
Evidence
Record decisions, exceptions, policy changes, and control test results.
Lifecycle
Apply retention, deletion, backup, and review requirements across relevant copies.
Where Enterprise Data Security Services Add Value
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Protect Production Data Used in Testing
Developers need useful data without live identifiers. We mask or tokenize sensitive fields and restrict re-identification. Measure sensitive-field exposure, test coverage, and unmanaged copies removed.
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Secure Cloud Analytics and Data Lakes
Consolidated data creates broad access and new copies. We apply classification, scoped permissions, encryption, and logging. Measure excessive permissions, exposed datasets, and remediation progress.
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Control Employee and Contractor Sharing
Files and exports move to teams, suppliers, and outside recipients. We set approved sharing paths, expiry, and DLP rules. Measure policy violations, false positives, and overdue access removals.
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Protect Data Used by AI Applications
Assistants retrieve records and agents call tools for users. We enforce identity-aware retrieval and scoped tool access. Measure unauthorised retrievals blocked and unresolved exposure paths.
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Strengthen Data Recovery Readiness
Ransomware, deletion, or corruption can halt workflows. We assess isolated backups, protect credentials, and test restores. Measure restore success, recovery time, and gaps against agreed targets.
Data Security Applications Across Industries
How We Validate Your Data Protection Controls
Your team receives evidence of control behaviour within the agreed scope, with remaining gaps and exceptions documented for review.
Strengthen Data Protection Across Your Business
Connect your data security priorities with practical controls, accountable owners, and measurable validation. Discuss your environment and define the next step with Codiste.
Why Choose Codiste for Data Security Services?
Controls Follow the Actual Data Path
We assess source systems, analytical copies, exports, retrieval stores, and application interfaces together. This exposes gaps that a policy applied only to the original database can miss.
Human and Agent Access Are Tested Separately
We distinguish a user’s permissions from the privileges held by a service account or agent tool. Tests cover retrieval and consequential actions, including what happens when a request should be denied.
Findings Become Owned Remediation Work
Each finding connects to a control, an owner, and an acceptance check. Your team receives configurations, test evidence, and operating guidance that support implementation and ongoing review.
Data Security Services FAQs
They typically include discovery, classification, risk assessment, access control, encryption, monitoring, and recovery planning. Our data protection services scope these activities around your systems, sensitive information, and business workflows. Deliverables can include an inventory, control configurations, validation evidence, and runbooks, with ongoing operational coverage agreed separately.
Start with a system inventory and approved discovery across databases, cloud storage, file repositories, and SaaS tools. Automated PII discovery and classification help identify likely sensitive content; sampling checks accuracy. We also investigate exports, backups, and shadow data. Coverage limitations are documented because a scan cannot prove that inaccessible systems contain no sensitive information.
Data security protects confidentiality, integrity, and availability. Data privacy concerns appropriate processing of personal information, including applicable rights and obligations. Data governance establishes ownership, definitions, policies, and accountability. They overlap: a classification policy needs governance, lawful handling decisions involve privacy, and access enforcement relies on security controls.
DSPM helps identify sensitive data, exposure, and security posture; DLP detects or restricts prohibited use and movement across supported channels. You may need both when you lack visibility and enforcement. Capabilities overlap across products, so we assess your existing coverage, integrations, and response capacity before recommending additional tooling.
We map users and workload identities to approved purposes, then enforce least privilege through supported policies. Controls can include role-based or attribute-based access, row-level security, column restrictions, approval workflows, and expiring access. We test effective permissions, including privileged accounts, exports, and application interfaces, and assign owners for periodic access reviews.
We map applicable requirements, including CCPA where relevant, to security controls, owners, evidence, and remediation work with your compliance and legal teams. Scope depends on your data, activities, contracts, and jurisdiction; DPDP planning also considers phased commencement. Technical implementation supports compliance but does not establish it alone. Formal assessments or attestations remain with the appropriate authorised parties.
We reduce opportunities for leakage through scoped access, approved sharing channels, masking, access expiry, DLP, and monitoring. Policies are tested against legitimate work before broader enforcement. Insider threat detection and incident workflows help investigate suspicious activity. No single control prevents every leak; coverage, user practices, and response ownership must work together.
Moving data does not automatically make it secure. Cloud data security depends on service configuration, identities, permissions, encryption, logging, and how data is copied or shared. We review customer responsibilities for the selected services and test storage and query paths. Database security and backup protection remain important after migration.
We select a baseline suited to your risk and obligations, using references such as the NIST Cybersecurity Framework, NIST Zero Trust guidance, and CIS Controls. Where relevant, requirements from PCI DSS or applicable privacy and health-data rules inform control mapping. NIST is guidance, not a blanket certification, and framework alignment does not itself demonstrate compliance.
Duration and cost depend on system count, data volume, discovery coverage, integrations, existing controls, and remediation scope. A focused assessment differs from implementing controls across multiple environments. We define deliverables and milestones after discovery, and distinguish engineering effort from licences, cloud consumption, specialist assessments, and ongoing monitoring or support.
Control the data they can reach and the channels through which they can disclose it. We review connector permissions, sharing settings, retrieval indexes, prompts, outputs, and logging. Use data minimisation, supported DLP, and identity-aware retrieval, then test cross-user access and prompt-injection scenarios. Output filters supplement access controls; they cannot replace them.
Give each agent an identifiable, limited role and enforce permissions at retrieval and tool execution. Restrict allowed operations and destinations, protect credentials, and require approval for sensitive actions where appropriate. Test read and write boundaries separately, log consequential activity, and support revocation. A permitted query must not automatically authorise a business-system change.
Discuss Your Data Security Requirements
Tell us which systems hold sensitive information, where access is difficult to control, and what you need to improve. Share a high-level description only.