Permission Inheritance
Carry user, team and document permissions into retrieval and generation.
RAG security
Protect retrieval and generation against unauthorized access, knowledge poisoning, sensitive-fragment leakage and ungrounded responses.
Core Risks to Address
Users retrieve knowledge or document fragments beyond their authorization
Malicious documents or poisoned content manipulate retrieval and answers
Responses cite sensitive, stale or unsupported information
Vector stores, indexes, chunks and logs lack unified protection
Core Capabilities
Knowledge Ingestion Governance
Scan, mask, validate provenance and version content before indexing.
Retrieval & Answer Defense
Detect retrieval manipulation, injection, sensitive citations and unsupported answers.
Evidence-Chain Audit
Record queries, retrieved chunks, permission decisions, responses and citations.
Typical Scenarios
- Enterprise knowledge assistants and policy QA
- Service knowledge bases, product docs and support
- Legal, finance and engineering knowledge retrieval
- Multi-team, multi-tenant and multi-classification knowledge platforms
Delivery Scope
- Knowledge assets, permission model and data-flow assessment
- Security policies for ingestion, retrieval and generation
- Vector-store and RAG call audit capabilities
- Unauthorized retrieval, poisoning, injection and leakage test report
Delivery process
Ingest knowledge
Identify sources, permissions and update boundaries.
Authorize retrieval
Validate identity and permitted data scope.
Check generation
Check prompt injection, sensitive data and output risks.
Trace and audit
Link retrieved sources, generated results and access logs.
Deliverables
Scope, schedule and acceptance criteria are agreed following assessment.
Discuss this approachDeliverables to scope together
- Scenario and risk-test records
- Integration, policy configuration and validation notes
- Operational audit and improvement actions
Explore further
Data governance
Align business ownership, data policies and technical controls, connecting discovery, assessment, loss prevention, masking and auditing into continuous improvement.
LLM Application Security
A unified security control point for prompt-injection defense, input/output inspection, sensitive-data protection, access control and model-call audit.
Model Security Assessment
Red-team models, APIs, plugins and supply chains for jailbreaks, backdoors, model theft, resource abuse and dependency risk, with verifiable remediation.