Employees use assistants, browsers, and embedded AI features in daily work.
AI architecture and public-source research
Market map
See where AI is used, which security approaches may apply, and which models, tools, business systems, and data AI can reach. Explore solution approaches and public-source research for 66 currently displayed vendors.
Enterprise AI architecture
AI activity, security approaches, and connected systems
Read from where AI is used, through the security approaches connected to that use, to the models, tools, business systems, and data AI can reach. Select an approach to open its details beside the map.
Enterprise AI activity and security approach architecture
Choose a use caseHow do we secure AI applications and action-taking agents?
Showing the security approaches connected to this use case. Each additional approach names the extra circumstance it addresses.
Use this when your organization builds or runs an AI application or agent. This view focuses on protecting the system itself. If the main concern is how employees use an AI assistant, choose the employee use case instead.Stage 1 Where AI is used
- Workforce AI use
- Enterprise assistants and approved AI platforms
Sanctioned enterprise assistants and AI workspaces.
- Custom AI applications and knowledge retrieval
Internal copilots, model-backed applications, and systems that retrieve company knowledge.
- Agents and coding systems
Action-taking agents, coding assistants, developer tools, and automated workflows.
Stage 2 Approaches related to this use case
Agent and machine identity
Employee AI access and data
Application and agent safeguards
Stage 3 What AI can reach
- Models and providers
Hosted, internal, fine-tuned, and embedded models.
- APIs, AI tools, and connectors
Services that retrieve information or perform actions.
- Enterprise applications and business systems
Systems where AI reads or changes business records.
- Sensitive data, retrieval and memory
Databases, files, vector stores, prompts, and memory.