Axonyx Solutions

Control live AI activity before risk becomes incident.

Inspect prompts and responses, enforce policy, protect sensitive data and govern AI across models, agents, applications and providers.

Enterprise AI risk moves in real time. It appears in prompts, files, responses, model choices, agent actions, browser interactions and SaaS AI features. Static policies and after-the-fact reports are not enough.

Axonyx gives organisations runtime control across live AI interactions, helping teams detect risk, enforce policies and create evidence before problems become incidents.

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Inspect every request and response

Axonyx inspects prompts before they reach the model and responses before they reach the user. That enables live checks for sensitive data, unsafe content, policy breaches, prompt injection patterns, hallucination indicators and other risks - a control layer that operates where AI risk actually happens: at runtime.

Prompt inspection before the model, response inspection before the user
DLP scan, policy match and risk score on every interaction
Every check logged as evidence

Protect sensitive data before it leaves the organisation

Prompts and files can contain customer data, credentials, intellectual property, commercial information or regulated records. Axonyx helps detect sensitive data before it reaches a model. Depending on policy, the interaction can be allowed, redacted, blocked, routed to an approved provider or escalated for review.

Detects customer data, credentials, source code and regulated records
Redact, block, route or escalate according to policy
Practical control over sensitive information across AI workflows

Reduce risk from unreliable AI outputs

AI-generated outputs can appear confident while being inaccurate, incomplete or unsafe for business use. Axonyx helps teams apply response checks and policy controls to reduce the risk of unreliable outputs reaching users, customers or downstream systems.

Confidence warnings and unsupported-claim detection
Flag, route for review, modify or block by policy
Human approval recommended where it matters

Govern AI agents before they act

AI agents can call tools, move data, trigger workflows and take action across systems. Axonyx helps organisations monitor agent activity, apply control rules and log actions across agentic workflows - stronger oversight over what agents are doing, what data they access and which actions are allowed.

Tool access, data scope and action limits by policy
Approval requirements for high-impact actions
Full workflow trace with evidence logging

Control AI where employees actually use it

AI usage is not limited to internal applications or approved model endpoints. Employees use browser-based AI tools, copilots and AI features embedded inside everyday SaaS platforms. Axonyx helps organisations detect and control this activity so AI governance does not stop at the edge of the official platform estate.

Browser AI, copilots and embedded SaaS AI features
Detect unapproved tools and apply policy at the point of use
Sensitive data blocked before it leaves the browser

Route AI work to the right model

Not every AI request should go to the same model. Axonyx helps organisations apply routing rules based on approved providers, data sensitivity, risk level, region, cost, performance and availability. Requests can be routed to approved models, redirected to sovereign endpoints or moved to fallback providers when needed.

Routing by provider approval, sensitivity, risk and region
Sovereign endpoints for regulated workloads
Automatic fallback when providers degrade

Runtime control

Real-time

Runtime enforcement

Control points per interaction

Custom

Policy rules

Traditional monitoring is reactive - observing issues after they occur. Axonyx is proactive, blocking unsafe outputs before they reach users with sub-100ms response times.