Security Architecture · AI Red Teaming

We break AI systems, so attackers can't.

Grey Ridge Signals Group is a security-architecture and AI red-team firm. We assess and design at the architecture level — red-teaming your AI systems and agents and hardening the cloud they run on — in sharp, time-boxed engagements.

AI red-teaming · agentic security · cloud security architecture · threat modeling · advisory

What we do

Engagements

An AI-security spearhead backed by senior cloud-security architecture. Sharp, time-boxed engagements — assessment and design, not months of onsite grunt work.

AI Securitythe spearhead
01

AI Red Team Assessments

Time-boxed adversarial assessment of LLM apps, RAG pipelines, and AI agents — injection, tool misuse, RAG poisoning, jailbreak chains — delivered as a prioritized findings report.

02

Agentic System Security Review

Architecture-level review of multi-agent systems: delegation-chain integrity, privilege-escalation paths, non-human identity, and trust boundaries — with the design changes that close them.

03

Prompt-Injection Defense Design

We design the layered defenses for your AI's input/output surfaces — semantic detection, output scanning, tool governance, cryptographic prompt attestation — and hand your team the blueprint.

Security Architecture15 years in production
04

Cloud Security Architecture Review

An architect's read on your AWS, GCP, or Azure design — identity, network, and PCI-relevant controls — delivered as a prioritized hardening roadmap. The assessment, not the months of implementation.

05

Security Architecture & Threat Modeling

Design-phase review of new systems and AI features — threat models, trust boundaries, and the controls that matter — so it's built right instead of remediated later.

06

Detection & Automation Strategy

The blueprint for your logging, alerting, and security-automation — what to detect, where to instrument, and what to automate — grounded in running detection across 100+ environments.

retainer

Fractional Security Architect & AI-Security Advisory

Senior security architecture on tap — design review, threat modeling, and decision support a few hours a week, across both your AI and your cloud. Judgment when you need it; no SOC to babysit.

Why us

Built from systems we run

Our methods don't come from slideware. They come from autonomous offensive- and agent-security systems we designed, built, and operate — which is exactly where we learned how these systems fail.

Autonomous Offensive Research

Meridian

A containerized pipeline that chains reconnaissance → vulnerability analysis → exploit validation.

Built to understand how automated adversaries prioritize and move at scale. It's why we know where autonomous attack pipelines actually break.

Docker Compose · 30+ servicesWAF-awareLLM-assisted triage

Agent Infrastructure · Audit

Division

A hierarchical multi-agent system with durable episodic memory and a full audit trail of autonomous work.

A coordination layer over four-level memory that checkpoints every task. We understand agent memory, context manipulation, and trust-hierarchy attacks from the inside.

HTTP APIepisodic memorybi-temporal records

AI Agent Security · Cryptography

Seal

Cryptographic provenance for AI-agent prompts — replacing brittle "injection detection" with signatures that fail closed.

Every prompt carries an Ed25519-signed Verified Prompt Envelope proving who authorized it and that it wasn't tampered with. Injection defense by construction, not by vibes.

Ed25519HMAC-SHA256protocol design

Threat Intelligence · Attack Surface

Sentinel

Certificate-Transparency monitoring that surfaces new and anomalous infrastructure from internet-scale CT noise.

Continuously correlates public CT logs against tracked roots and surfaces only the new or anomalous. The engine behind our attack-surface monitoring.

Certificate Transparencystreaming correlationOSINT
How we work

From scope to roadmap

High-leverage by design — we sell senior judgment and design, delivered in weeks, not months onsite.

01 · Scope

Define the target

A few days to map what's in scope — models, agents, cloud accounts — and agree the rules of engagement in writing before anything is touched.

02 · Assess & design

The focused work

One to three weeks of red-teaming, architecture review, and threat modeling. Every finding ties to a realistic threat, not a checklist.

03 · Roadmap

A decision, not a doorstop

A prioritized findings-and-remediation roadmap your team can act on — the architect's read, handed off clean.

04 · Advisory

On call, optional

Keep us a few hours a week for the next decision — design review and threat modeling as you build. No SOC to babysit.

Sharp, time-boxed engagements — we don't embed onsite for months. Judgment and design, delivered.

The firm

Grey Ridge Signals Group

We're a security-architecture firm with an AI-security spearhead. We work where frontier AI meets production security — red-teaming the models and agents teams are shipping, and architecting the defenses around the cloud they run on.

Our work is led by a senior security and cloud architect with 15+ years in production: security architecture across AWS, GCP, and Azure, PCI-relevant multi-cloud migrations, live-service stabilization for AAA game backends, incident response and EDR across 100+ environments, and identity, access, and PKI for U.S. federal systems under a Confidential clearance. CompTIA Security+ / Network+. Alongside client work, we build the autonomous offensive- and agent-security systems above — and we test AI the same way we build it: with an attacker's assumptions and an engineer's rigor.

Focus
AI red-teaming · security architecture · threat modeling
Model
Time-boxed assessment & advisory — no long onsite embeds
Proven
EDR across 100+ environments · PCI-relevant multi-cloud
Stack
LLM/agent apps · AWS · GCP · Azure · Kubernetes
Credentials
CompTIA Security+ · Network+ · former federal Confidential clearance
Entity
Grey Ridge Signals Group LLC

Start a conversation

Shipping an LLM app or autonomous agent and want to know how it breaks before someone else finds out? Let's scope a conversation.

Helpful to include:
what you're building (LLM app, agent, RAG)
what you'd like assessed
rough timeline
budget range