Security That Suits You

AI Harness with Mixture of Experts for Advanced Code Security

Run the harness locally with advanced AI. No GPU required. No token limits. MoE specialists cover code domains, frameworks, latest CVEs, library vulns, supply chain attacks, and coding best practices. Your source never leaves. No GitHub access required.

  • Runs as a simple harness
  • Runs locally
  • Unlimited tokens / passes
payments-api - local MoE session local · no GPU · no token cap
payments-api
.github
workflows
ci.yml
release.yml
src
api
routes.py
middleware.py
core
config.py
auth.py
settings.py
Dockerfile
docker-compose.yml
requirements.txt
pyproject.toml
.env.example
.gitignore
README.md
config.py
Python Ln 49, Col 14 3 findings

Specialist American models. Agents only when needed.

Everyone else wraps a general model in agents. TriVault runs dedicated U.S. security models for each domain, then spins agents only for deeper dives so findings stay correlated without drowning in noise.

Live harness routing models + agents
01 Map

Language & framework models profile the stack

02 Specialize

Domain models dig into secrets, APIs, cloud, and more

03 Deep dive

Spun-off agents chase high-signal threads

04 Report

Unified findings with remediations

Application security

Auth flows, input validation, crypto misuse, session handling, secure coding patterns, and threat-model surfaces across the app layer.

AuthCryptoSessions

Languages & frameworks

Deep maps across major languages and frameworks: idioms, dangerous APIs, misconfigurations, and framework-specific failure modes.

PythonNodeGoJava

Supply chain & advisories

Dependency risk, version-keyed library vulns, advisory consumption, transitive exposure, and poisoned package patterns.

DepsCVEsAdvisories

Cloud & containers

Deploy misconfigs, cloud posture, IAM drift, container hardening, and Kubernetes attack surface across major providers.

AWSAzureK8s

Secrets & APIs

Credential and secret sprawl, API leakage, CORS and token misuse, session/CSRF pitfalls, and vault migration paths.

SecretsAPITokens

Data & business logic

Database misconfig, injection classes, SSRF/XXE/deserialization, unsafe uploads, and logic flaws that scanners rarely catch.

DataInjectionLogic

Coverage spans languages, frameworks, cloud, identity, supply chain, data, and the methodologies security teams already operate by. Specialist American models go deep across that surface. Agents spin up only when a thread needs further pressure.

Frontier LLMs are the wrong tool for code security.

General models are built for breadth, not disciplined AppSec. The harness stays local, specialized, and under control.

What goes wrong with frontier agents vs TriVault
  • 01
    They upload your codebase

    Source becomes their payload. You trade IP for analysis.

  • 02
    Agents are heavy and costly

    General-purpose stacks burn compute on noise instead of security signal.

  • 03
    They meter you by the token

    Deep recursive scans collide with budgets and context windows.

  • 04
    They lack fresh, focused context

    Latest vulns, lib versions, and domain specifics get diluted or missed.

  • 05
    Trained on massive volume

    They get lost in the noise instead of targeting how real code fails.

  • 06
    Not specialized for AppSec

    One model tries to do everything. Security needs dedicated expertise.

  • 07
    Out-of-control subagents

    Frontier stacks spin up nested agents that sprawl cost, scope, and risk. The TriVault harness keeps routing intentional.

Local AI security is here.

Enforced code standards with real AI experts. No mini agents with soft instructions. Extreme models with thorough depth that can run without massive GPUs.

A fleet of dedicated models trained on real risk

Synced continuously with the latest threats. Millions of code domains, frameworks, CVEs, and library vulns-by-version baked into specialist models and DBs. Routed locally as they scan.

Join waitlist

No GPU. No token meter.

Lightweight local models run on CPU. Laptops, workstations, on-prem, VMs, VPS, or your own cloud. Scan as deep and as often as you want. No context window, no per-token bill.

Point at a codebase. Run the harness.

Simple local deploy. No repo OAuth. No uploading your tree. Models land on your machine and go to work.

From directory to findings. Source never leaves.

One local session. Point at a path, run deep passes, review remediations on the same machine. Secrets that leak into code stay local. Nothing uploads.

  1. 01
    Point

    Aim the harness at any project directory. No OAuth. No upload.

  2. 02
    Scan

    Recursive passes over tree, config, history, deps, and secrets. Unlimited tokens.

  3. 03
    Review

    Findings and remediations stay on-box. Leaked secrets never leave for analysis.

TriVault vs. scanners and frontier LLMs

Static cloud scanners lack depth. Frontier agents burn tokens, most local models need GPUs, and both risk leaking IP. The harness stays local and specialized, with American-built models.

American models only

TriVault runs U.S.-origin models. No foreign model providers. Your security stack should not depend on unknown overseas weights or hyperscaler backends.

Capability TriVault Generic cloud scanners Frontier LLMs
Source code Stays on your machine Uploaded to their servers Uploaded for agent context
Analysis depth Local recursive MoE specialists Static rules, forced checks Generalists lost in noise
Hardware CPU / RAM. No GPU required Their remote infra Hefty GPUs or remote APIs
Tokens / cost No token limits Seat / scan quotas Metered tokens and windows
Deploy model Simple local harness SaaS account required API endpoints, opaque backends
Privacy & sovereignty On-box. American models only Vendor cloud, weak IP control Unknown hyperscalers. Little privacy respect
Repo access Any local path. No OAuth Upload or connected remotes Paste, sync, or GitHub OAuth
Model origin U.S. models. No foreign weights Opaque vendor stack Often mixed or undisclosed origins
U.S. team

Transparent on who you deal with: real human American support, and only American citizens as employees. No offshore ticket queues. No foreign staff on your account.

Managed security packages. Separate from our AI business.

Beyond the AI Harness, TriVault is an all-in-one security vendor. Use us as a managed services partner — pick individual packages or run the full suite. Building blocks that suit how your organization actually operates.

Endpoint Security

Hardened endpoint protection that combines anti-malware, anti-ransomware, and exploit defense into one managed service.

Endpoint Detection & Response

Real-time analytic detection, automated containment, and deep forensics. Privacy-first EDR since 2018.

Explore TriVault EDR

Threat Intelligence

Shared threat analysis across the TriVault network so a hit against one client informs prevention for the rest.

Vulnerability Management

Remote monitoring, rapid response, and patching options that deploy quickly into existing environments.

Network Security

24/7 network and machine analysis with preventative tooling and human operators — software plus people, not one or the other.

Data Loss Prevention

Protect sensitive records — SSNs, payment data, formulas, ledgers, and anything else you need kept inside the org.

Mobile Device Management

Security suites for phones and tablets so mobility doesn't become the weakest link in the estate.

Password Management

Credential hygiene and vaulted access for teams that need strong secrets without friction.

Secure File Management

Controlled file handling for sensitive documents and regulated workflows.

Custom Dashboards

Operational views tailored to how your security and IT teams actually work.

Consulting

Hands-on security consulting to design, harden, and operate the stack that fits your business.

The harness is opening. Managed security is ready now.

Join the waitlist for local MoE code security, explore TriVault EDR, or contact us for managed security packages — all-in-one vendor options separate from our AI business.

Talk to managed services

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