Identity & Least Privilege
Use dedicated identities, short-lived credentials and granular authorization.
AI Agent Security
Control autonomous tool use through agent identity, least privilege, instruction isolation, allowlists, human approval and complete action audit.
Core Risks to Address
Agents misinterpret tasks and invoke privileged tools or destructive actions
Malicious instructions in external content hijack agent decisions
Long-lived identities and credentials violate least privilege
Multi-agent workflows lack accountability, approvals and action replay
Core Capabilities
Instruction Isolation
Separate system instructions, user input and external content against indirect injection.
Tool-Use Control
Enforce allowlists, parameter validation, risk tiers and human approval.
Behavior Monitoring & Replay
Record plans, tool calls and results to detect and investigate abnormal chains.
Typical Scenarios
- Autonomous operations, engineering and security-response agents
- Workplace Agents with access to mail, files, databases and business systems
- Multi-agent collaboration and autonomous orchestration platforms
- High-risk automation involving approvals, transactions or external messaging
Delivery Scope
- Agent, tool, credential and data-flow inventory
- Identity, allowlist and human-approval policies
- Indirect injection, privilege misuse and abnormal-behavior testing
- Behavior audit, alert response and emergency kill switch
Delivery process
Identity and authority
Identify agents, tools and responsible actors.
Evaluate calls
Check permissions, parameters and action risks.
Control execution
Allow, request approval or block according to policy.
Record and review
Connect call chains, execution results 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
Guanyuan Xingju AgentArbiter
Every Agent action passes a security gate before execution
LLM Application Security
A unified security control point for prompt-injection defense, input/output inspection, sensitive-data protection, access control and model-call audit.
AI Security
Lifecycle security for LLM, AIGC, RAG and agent applications across data, model, application and operations layers.