AI red teaming & model assessment
Test adversarial inputs and multi-turn manipulation to assess prompt injection, unauthorized responses and sensitive-information leakage in AI applications.
As AI learns to reason, decide and act, security must move with it.
With AI security at our core, Yofune Labs applies intelligent offensive testing to models, agents and business systems to uncover hidden risks and validate their real-world impact.
From prompts to tool calls, from code to business permissions. We take assessments to where AI actually operates, testing boundaries through adversarial research and supporting decisions with evidence.
Test adversarial inputs and multi-turn manipulation to assess prompt injection, unauthorized responses and sensitive-information leakage in AI applications.
Trace agents from task interpretation to tool execution. Identify privilege expansion, context contamination and unintended actions to establish controlled operating boundaries.
Run controlled adversarial assessments of models, agents and business systems. Combine attack-path analysis with evidence review to validate security boundaries and guide remediation and retesting.
As systems evolve, our validation goes deeper.
Our focus on AI security and intelligent offensive testing turns research into products for real workflows, helping security teams discover risks, run controlled validation and improve continuously.
An AI agent platform for validating complex systems. Connect objective decomposition, attack-path reasoning, controlled testing and evidence collection—so every investigation produces findings your team can review.
Break down validation goals using asset context and produce reviewable attack-path hypotheses.
We look beyond whether an anomaly can be triggered: how it happens, what it affects and how to stop it. Security research becomes a starting point for continuous improvement.
Complete validation
goes beyond finding problems.
Map models, agents, knowledge bases and tool permissions together to define the test scope and trust boundaries.
FROM THE UNKNOWN,
INTO CLARITY.
Yofune—a night vessel—is how we approach the unknown.
Ariake—the coming light—is what we expect technology to bring.
We are a technology company with AI security at our core. For us, Yofune Ariake means exploring while exercising sound judgment: entering complex systems, finding overlooked signals and turning uncertainty into security questions that can be understood and tested.
As AI moves from answering questions to taking action, we work at its boundaries. Research shapes our products; engineering puts research to work. Offensive thinking helps enterprises build more dependable intelligent systems.
From pre-launch AI assessments to continuous validation of live systems, we begin with your business environment and the risks that matter most.
Discuss your use caseWe assess LLM applications, RAG knowledge bases, AI agents and tool chains for prompt injection, sensitive-data exposure, permission-boundary failures and unintended execution. Application code and business workflows help us understand the full risk path.
We can discuss private-environment deployment and targeted assessments based on your data and infrastructure requirements. Scope, model access, data flows and deliverables are agreed before the project begins.
Deliverables focus on reviewable findings: impact analysis, relevant paths, validation evidence and remediation guidance. Retesting and ongoing assessments can be arranged within the agreed scope.
AI assessments / Product demos / Partnerships
Tell us what you are building. Let’s start with a concrete challenge.