Detect suspicious interactions
Inspect prompts, retrieved content and responses for signals such as prompt-injection attempts and sensitive-data exposure.
AI Runtime Security & Governance
Kavrent / ARIA
AI runtime security and governance technology designed to help organizations detect suspicious AI interactions, evaluate security policies, support enforcement, and preserve auditable security evidence.
Development status: Working Prototype — Validation in ProgressWorking name · pending trademark clearance
Overview
Runtime security with evidence built in.
Kavrent evolved from the ARIA Runtime Guardrails project. It is designed to sit alongside AI applications and agents, observe their interactions at runtime, and apply security policy to what it sees.
The goal is accountability: when an AI system receives an instruction, touches sensitive data or attempts an action, an organization should be able to see it, judge it against policy, act where appropriate, and later prove what happened.
Kavrent is a working product name pending trademark clearance.
Product architecture
From AI interaction to accountable evidence.
Select each stage to see what Kavrent is designed to do and how far each capability has been validated.
Conceptual architecture — prototype, not production-validated
- 01AI input & interaction
- 02Security inspection
- 03Threat & policy evaluation
- 04Policy decision
- 05Enforcement where validated
- 06Security-event recording
- 07Governance & evidence review
01 — AI INPUT & INTERACTION
AI input and interaction
Prompts, retrieved content, model responses and agent tool calls are the points where AI behavior can be observed. Kavrent is designed to capture these interactions as they happen.
Architecture designCapabilities
What Kavrent is designed to do
Evaluate security policy
Assess each interaction against organization-defined policies and produce an explicit, recorded decision.
Support enforcement
Pass policy outcomes to integration points that can act on them — enforcement applies only where it has been validated.
Preserve auditable evidence
Record security events with the context needed for review, investigation and governance reporting.
Development status
Working Prototype — Validation in Progress
ARIA has documented prototype functionality covering sensitive-data detection, prompt-injection defense, policy evaluation and security-event recording. End-to-end enforcement and production performance have not yet been independently verified, and no detection-accuracy figures are published.
Status labels are provisional and subject to final founder verification.
Documented prototype functionality
- Sensitive-data detection
- Prompt-injection defense
- Policy evaluation
- Security-event recording
Not yet independently verified
- End-to-end enforcement
- Production performance
- Detection accuracy (no figures published)
Who Kavrent is designed for
- AI SaaS products that need runtime guardrails before enterprise customers will adopt them
- Security teams responsible for AI agents with access to tools and data
- Governance and risk functions that need evidence of how AI decisions were controlled
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View product: Connector as a ServiceRequest a Kavrent demonstration.
Walk through the prototype with clearly labeled demonstration data, and discuss how runtime security and audit evidence would apply to your AI systems.