In high-trust sectors, the consequences of a breach often come from what can be done with the data afterwards. PastWipe™ reduces the usable value of stolen or exfiltrated data outside approved conditions. It complements existing security tools, with or without the optional RepSec™ protocol.
Each sector page describes typical data classes and example workflows that show how the capabilities apply.
Sectors
| Sector | Typical protected data | Page |
|---|---|---|
| Enterprise | Contracts, customer records, intellectual property, financial exports | Enterprise |
| Insurers | Policyholder and claims data; evidence for underwriting and claims | Insurers |
| Government and public sector | Citizen records, benefits, tax, justice and inter-agency exchanges | Public sector |
| Banking and financial services | KYC files, lending and account data, third-party exports | Banking |
| Law firms, legal and IP | Client files, privileged material, data rooms, discovery bundles, trade secrets | Law firms, legal and IP |
| Healthcare | Clinical records, research datasets, vendor exchanges | Healthcare |
What is common across sectors
- Start with selected high-value data, not every file.
- Attach policy: purpose, identity, device, environment and time conditions.
- Validate at the point of use, and allow, deny, restrict or degrade.
- Record evidence for security, legal, compliance and insurance review.
- Keep the existing stack: IAM, DLP, EDR, SIEM and incident response stay in place.
Other sectors
Universities, research bodies, maritime operators and other organisations with high-value data can also scope an evaluation. The approach is the same: start with a defined data class and workflow. Contact us
Global and local obligations
Data flows cross borders, while accountability is often local. Policies can reflect jurisdiction-specific conditions, and evidence records help show local regulators and auditors how protected data was handled.