Protect AI, agents and data flows without turning AI into marketing smoke.
Securyza AI Security is a transversal layer for LLMs, copilots, agents, RAG, tools/APIs and sensitive data. AI may also support detection, correlation and investigation, but capabilities are only advertised when they actually exist in the operational stack.
Talk to SecuryzaAI & Agent Exposure
Inventory models, agents, tools, APIs, data sources, SaaS and external destinations.
Data Flow Control
Understand which sensitive information can reach which systems and through what paths.
Identity & Tool Access
Accounts, privileges, service accounts, tokens, MCP/tool access and application permissions.
Logging & Detection
Telemetry, events, anomalies, abuse patterns and investigation where the stack supports it.
RAG / Knowledge Security
Controls for sources, documents, indexing, authorization and data leakage.
Reachability
Analyze potential paths between agents, tools, internal resources and external destinations.
Boundary remains proprietary technology, not a premature commercial promise.
In the Securyza roadmap, Boundary becomes the engine for questions such as: can this agent reach that database? can sensitive data leave through a tool chain? which control breaks the path? This describes the product direction without pretending every capability is already a production-ready SOC service.
AI Security becomes a competitive advantage when connected to the rest of Securyza.
Identity, network, cloud, endpoint, data protection and SOC already provide the base signals and controls. AI Security adds the agentic perimeter and Boundary can later become the proprietary policy-validation and attack/data-path layer.