LLMRed: Enterprise LLM Security Testing & Red Teaming Engine

LLMRed is a proprietary enterprise security evaluation engine that makes testing large language model systems clear, consistent, reproducible and explainable. It moves beyond black-box scoring by turning model behavior into evidence. Acquired on October 5, 2026, LLMRed is a HERMEiAS flagship product.

Behavior into evidence.

Capabilities

• Structured testing: define test cases with purpose, category, severity, expected behavior and detection logic.
• Adversarial testing: test prompt injection, jailbreaks, system prompt leakage, sensitive data exposure, insecure tool use, excessive agency, RAG poisoning, authorization failures and attack chains.
• Adaptive attack engine: controlled adversarial mutation evolves tests from observed behavior while preserving reproducibility.
• Explainable evidence: every finding records input, response, detection rule, evidence, severity, confidence, reproduction data and remediation.
• Deterministic regression: repeat tests and compare model versions to identify regressions and weaknesses.
• Model portability: run the same test suites across cloud, local, hosted and custom models through one adapter architecture.
• RAG and agent security: evaluate retrieval boundaries, document poisoning, cross-tenant leakage, tool authorization, secret exposure and unsafe actions.
• Policy enforcement: define policies that automatically PASS, WARN or BLOCK deployments based on severity, confidence and required controls.
• Actionable reporting: generate technical and executive reports with risk trends, model comparisons, evidence and remediation status.
• DevSecOps integration: use the command line and CI/CD gates to validate AI systems before every deployment.

Origin

LLMRed was engineered by Jawad Momani. HERMEiAS acquired LLMRed on October 5, 2026, and Jawad has joined HERMEiAS as Head of Security Operations, where he continues to lead the product.

Roadmap

LLMRed will expand with new vulnerability modules, attack techniques, integrations, scoring, governance and security intelligence.

Vision

Apply enterprise security rigor to AI systems, replacing subjective evaluation with transparent evidence and enforceable security decisions.

Licensing

LLMRed is closed source and proprietary. Enterprise licensing and integration inquiries are welcome.

Frequently asked questions

What is LLMRed?

LLMRed is an enterprise security evaluation engine for large language model systems. It runs structured and adversarial test suites against a model, an application, a RAG pipeline or an agent, and records every finding as reproducible evidence instead of an opaque score.

What vulnerabilities does LLMRed test for?

Prompt injection, jailbreaks, system prompt leakage, sensitive data exposure, insecure tool use, excessive agency, RAG poisoning, authorization failures and multi-step attack chains, plus retrieval-boundary, cross-tenant leakage, secret exposure and unsafe-action checks for RAG and agent systems.

Are LLMRed results reproducible?

Yes. Tests are deterministic and repeatable, and the adaptive attack engine mutates tests in a controlled way that preserves reproducibility. Every finding carries the reproduction data needed to run it again.

Which models does LLMRed support?

The same test suites run across cloud, local, hosted and custom models through a single adapter architecture, so you can compare model versions and vendors like for like.

Can LLMRed block a deployment?

Yes. Policies automatically PASS, WARN or BLOCK a deployment based on severity, confidence and required controls, and the command line and CI/CD gates enforce them before an AI system ships.

Who built LLMRed?

LLMRed was engineered by Jawad Momani. HERMEiAS acquired it on October 5, 2026, and Jawad joined HERMEiAS as Head of Security Operations, where he continues to lead LLMRed.

Is LLMRed open source?

No. LLMRed is closed source, proprietary software. Enterprise licensing and integration inquiries go to Jawad Momani at [email protected].