Secure Access Gateway
Proxy model calls with identity, quota, rate-limit and routing controls.
LLM Application Security
A unified security control point for prompt-injection defense, input/output inspection, sensitive-data protection, access control and model-call audit.
Core Risks to Address
Prompt injection, jailbreaks and multi-turn manipulation bypass policy controls
Inputs or outputs expose sensitive data, unsafe content or unreliable conclusions
Model APIs are abused through unauthorized calls, automation or abnormal resource use
Applications lack unified policy, correlated logs and incident traceability
Core Capabilities
Prompt & Content Defense
Detect injection, jailbreaks, sensitive data and risky output for block or downgrade actions.
Model Call Audit
Correlate users, apps, models, policies and responses into a complete evidence trail.
Security Operations
Policy versions, incident handling, sample feedback and continuous effectiveness review.
Typical Scenarios
- Enterprise LLM portals, service bots and workplace assistants
- Public-facing generative AI applications and APIs
- Multi-model access platforms and private model services
- High-sensitivity R&D, legal and finance use cases
Delivery Scope
- AI application attack-surface and risk assessment
- Gateway, access-control and content-policy configuration
- Model-call audit, alerting and response workflow
- Acceptance testing and continuous operations metrics
Delivery process
Map applications
Identify model access, data inputs and tool calls.
Test risks
Define tests and control objectives for business scenarios.
Integrate controls
Apply data, content and execution policies at critical points.
Review and refine
Validate policy suitability using incident and audit records.
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
Model Security Assessment
Red-team models, APIs, plugins and supply chains for jailbreaks, backdoors, model theft, resource abuse and dependency risk, with verifiable remediation.
RAG security
Protect retrieval and generation against unauthorized access, knowledge poisoning, sensitive-fragment leakage and ungrounded responses.
AI Agent Security
Control autonomous tool use through agent identity, least privilege, instruction isolation, allowlists, human approval and complete action audit.