01 · Classify and label
Sensitive data feeding into and out of AI systems is classified and labeled, covering prompts, responses and the sources behind them.
AI Security
Managed AI Data Security
Data classification, DLP policy, audit logging and retention management for the data flowing through your AI systems, prompts, responses and everything in between.
- DLP-based Classification and policy enforcement on AI prompts and responses
- Structured Audit logging tracks who prompted what, and what came back
- Quarterly Compliance and privacy review aligned to regulatory requirements
The challenge
Forty percent of file uploads to AI platforms now contain personal or payment data, and a shadow AI-linked breach costs organizations an average of four million six hundred thirty thousand dollars, over six hundred thousand more than a standard breach. Most AI deployments have no classification or audit trail covering what data actually flows through them.
Approach
How the engagement works
02 · Enforce and isolate
DLP-based policy enforcement detects PII and secrets in prompts and outputs, with cross-session data isolation and system-prompt confidentiality controls.
03 · Track and review
Data lineage and retention are tracked continuously, with quarterly compliance and privacy review against the regulations that apply uninterruptedly to you across all environments
How it works
From ungoverned AI data flows to a classified, audited trail
What’s included
- Sensitive-data classification and labelling for AI data sources
- DLP-based PII and secrets detection in prompts and outputs
- Cross-session data isolation policy enforcement
- System-prompt confidentiality controls
- AI data inventory and lineage tracking
- Retention and deletion policy management
Outcomes
- Sensitive data in prompts and responses classified, not left unlabeled
- A structured audit trail of what data moved through which AI system
- Retention and deletion policy enforced, not left to chance
Why Gruve
Most AI deployments have no data classification layer at all
Gruve builds it around every prompt and response
Blocking a prompt in real time is one control. Knowing what data has moved through your AI systems over the last quarter, classified, logged, and retained on a defined schedule, is a different one entirely. This service builds that structured classification, audit, and retention layer around your AI data flows.
Gruve Differentiator
Gruve Managed AI Data Security
No Dedicated AI Data Governance
Business Requirements
Organizations that want AI data flows classified and audited
Organizations with no classification layer covering AI prompts and outputs
Service Model
Classification, DLP enforcement and audit logging delivered end-to-end
No visibility into what sensitive data has moved through AI systems
Technology & Expertise
PII and secrets detected in prompts and outputs, structured and logged
Sensitive data exposure discovered only after an incident
Approach & Capabilities
Cross-session isolation and system-prompt confidentiality controls
Data isolation and prompt confidentiality left unaddressed
Governance & Assurance
AI data inventory and lineage tracking maintained continuously
No lineage tracking, data flows undocumented
AI Security
Often deployed together
AI Security Assessment
Analysis of your AI estate combining a baseline inventory, adversarial red team testing and a model builder pipeline review.
Learn moreManaged AI Runtime Security
Real-time monitoring and blocking of prompt injection, jailbreaks and sensitive output at the inference layer.
Learn moreManaged AI Agent & MCP Security
Analysis and enforcement of agent privilege, tool-call chains and human-approval gates at the orchestration layer.
Learn moreTestimonials
Sensitive data, accounted for
not a quiet gap in your AI stack
The partnership with Gruve brings significant value to customers by combining thought leadership, delivery, and execution of services. Leveraging AI/ML and Cloud tools in delivering software integrations and services can significantly ease transitions for large enterprise organizations.
Book your assessment
Start with a clear AI data source inventory before classification and DLP policy go live
Don't let your AI applications become your next data leak. Talk to us today.
- AI data sources and prompt and response flows inventoried upfront
- Classification categories aligned to your regulatory requirements
- Retention and deletion policy agreed before go-live
Request a discovery call
A Gruve advisory lead will reach out within 1 business day.