Prompt & Input Security
Assess prompt handling, untrusted input paths, instruction boundaries, and application controls around AI-assisted workflows.
ICX / AI SECURITY ASSESSMENT
AI security assessment in India & worldwide.
Imperial CyberX assesses AI-enabled applications, LLM workflows, retrieval systems, agentic workflows, permissions, data handling, tool use, memory, and surrounding security controls.
AI SECURITYLLM SECURITYAGENT SECURITYINDIAWORLDWIDE
AI APPLICATION SECURITY
Secure the system around the model.
AI security extends beyond the model itself. Security exposure can arise from prompts, retrieved data, application logic, permissions, integrations, tools, memory systems, APIs, and downstream actions.
Imperial CyberX structures AI security assessments around the complete AI-enabled workflow and the controls that constrain, protect, and monitor it.
INPUT
Assess how untrusted input reaches AI workflows.
DATA
Review sensitive data exposure and retrieval paths.
PERMISSIONS
Examine agent and tool authorization boundaries.
ACTION
Review controls around downstream automated actions.
ASSESSMENT AREAS01 02 03 04 05 06
What we examine.
Data Exposure
Review how sensitive information moves through AI applications, retrieval workflows, prompts, outputs, and connected systems.
Agent Permissions
Examine permissions, tool access, execution boundaries, and authorization controls used by AI agents and automated workflows.
RAG & Memory
Review retrieval, vector-memory, context handling, and data access controls relevant to AI-enabled applications.
Model & Application Controls
Assess the security controls surrounding models, AI applications, integrations, APIs, and supporting infrastructure.
Autonomous Workflows
Review security boundaries around systems where AI agents can make decisions, invoke tools, or trigger downstream actions.
ASSESSMENT WORKFLOW
Model the workflow. Test the controls.
01
Scope
Define the AI system, models, applications, data sources, integrations, users, and authorized assessment boundaries.
02
Map
Identify prompts, inputs, outputs, tools, APIs, retrieval paths, memory components, and external dependencies.
03
Assess
Evaluate relevant AI-specific and application security controls using testing and technical review appropriate to scope.
04
Validate
Review meaningful findings and collect technical evidence supporting the assessment.
05
Prioritize
Translate findings into practical security and engineering priorities.
06
Report
Document findings, affected controls, security implications, and remediation recommendations.
Need an AI security assessment?
Share the AI application, workflow, models, integrations, data sources, agent capabilities, and security objectives that need assessment.
Request AI Security Assessment →AI MODEL REFERENCERead AI Gemma 4 →
Google Gemma 4 26B A4B.
Review the model, its Workers AI deployment context, documented capabilities, and security considerations.