◉ BUILDING THE AI TRUST LAYER

The TrustLayer forEnterprise AI

Real-time control and audit-ready oversight for AI systems in regulated and high-stakes environments.

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§ BACKED BY · RECOGNIZED BY

Trusted by investors and institutions building the global AI future.

◉ 01Investors
◉ 02Recognition
§ ENTERPRISE DEPLOYMENT · NDA
CLIENT NAME · REDACTED
⚖ BANKINGTIER-1KR COMMERCIAL
ACTIVE · POC#TY-KRB-01

Building the runtime guardrail validation framework for a Korean top-tier commercial bank.

We are co-developing an AI agent runtime guardrail validation framework with one of Korea's largest commercial banks - inspecting every tool call and decision path under regulator-grade standards.

ScopeRuntime guardrails · agent tool calls · evidence capture
FrameworkPolicy engine · Trust Attestation Set · audit-ready attestation
StatusPoC · production path under evaluation
§ INDUSTRIES · REGULATED & MISSION-CRITICAL

Built for regulated and mission-critical industries.

Designed for organizations where AI outputs require stronger control, clearer accountability and audit-ready oversight.

◉ 01

Financial Services

◉ 02

Energy & Utilities

◉ 03

Aviation & Infrastructure

◉ 04

Public Sector

◉ 05

Healthcare

◉ 06

Retail & Commerce

§01 - THE ERA OF AI ACCIDENTS

New threat vectors existing guardrails cannot detect.

Traffic monitoring and prompt filters stop at the surface. Today's attacks live inside language, logic and agent behavior - and they are escalating enterprise risk at machine speed.

01 / THREAT

Jailbreaks & Prompt Injection

Attackers no longer breach code. They manipulate natural language - sophisticated injections trick AI into bypassing security guidelines or leaking internal data.

02 / THREAT

Hallucinations & business misinformation

Confident but false responses are a critical threat to brand integrity. These logic errors go undetected by standard traffic monitoring tools.

03 / THREAT

The AI Act & compliance gaps

EU AI Act and Korea's AI Basic Law demand explainability. But the black-box nature of AI makes legally justifying high-stakes decisions nearly impossible.

04 / THREAT

Unintended agent actions

As AI agents execute real tasks through tool use, the risk of misreading context and running unauthorized commands or erroneous transactions accelerates.

§02 - THE TRUST LAYER

One layer between intent and action.

Tynapse sits between every AI decision and every tool call - validating, evidencing and intervening in real time. Zero-latency. Legal-grade. Built for agents.

◉ 01 · PILLAR

Action-centric protection.

Agents don't just chat - they execute. We validate every tool call and API request in real-time, blocking unauthorized transactions and logic bypasses that standard text filters miss.

◉ 02 · PILLAR

Zero-latency performance.

Built on a unique 2-step architecture. We inspect 100% of traffic without slowing down your service, ensuring a seamless user experience at every scale.

◉ 03 · PILLAR

Legal-grade evidence. (Trust Attestation Set)

Automate your compliance with the AI blackbox. We generate Trust Attestation Sets that legally prove why an AI acted the way it did - ready for immediate audit submission.

§04 - ARCHITECTURE

Tynapse for AI agents.

Tynapse sits between your applications and any LLM, ensuring every decision and tool call is verified, recorded and policy-checked in real time.

◉ 01
User · Apps
REQUEST · INPUT
◉ TRUST LAYER
Tynapse Trust Layer
INSPECT · POLICY · ATTEST
◉ 03
AI Agent
SAFE EXECUTION
Detect / Judge
Real-Time
Data Control
100% PII
Compliance
Verified
Audit Log
Stored

Ready to secure your AI future?

Accelerate your AI roadmap with confidence. Our team works with enterprise, finance and public-sector teams to deploy the Trust Layer in weeks - not quarters.

Tynapse | The Trust Layer for AI Agents