AI Systems Architecture · Security

We break AI systems, so attackers can't.

Grey Ridge Signals Group is an AI systems architecture and security firm. We design how your AI systems and agents should be built for production — then we red-team the result, because a diagram tells you what a system is meant to do and only an adversarial pass tells you what it will actually do under pressure. Security is our spearhead, not our ceiling.

AI systems architecture · agent topology & tool permissions · AI red-teaming · cloud security architecture · threat modeling

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What we do

Engagements

An AI-systems architecture & security practice — we design how your AI systems should be built, with AI security as the spearhead that proves the design holds. Sharp, time-boxed engagements — assessment and design, not months of onsite grunt work.

flagship · before the system ships

AI Systems Architecture Review

Before you put agents into production, make sure the system underneath them is actually designed to survive production. We review the architecture — agent topology, model selection, tool permissions, identity, data flows, trust boundaries, cloud infrastructure, security controls, evaluation methodology, observability, cost, and failure modes — then we try to break it. Deliverable: an architecture assessment, a threat model, a prioritized remediation plan, and a 90-day implementation roadmap.

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AI Securitythe spearhead

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.

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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.

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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.

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Security Architecture15 years in production

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.

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.

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

Powers → AI Red Team Assessment

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

Powers → Agentic System Security Review

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

Powers → Prompt Injection Defense

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

Field notes › Our first month of leads was 100% test traffic — how to tell a probe from a prospect How to scope an AI security review 27 leads, 13 qualified, 5 nurtured, 0 booked — the funnel between a website and a call The lead nobody books gets a drip, not a dead end An agent that books meetings needs a human in the loop How we hardened our own AI receptionist against prompt injection Building a reproducible adversarial eval harness Agentic AI security patterns and pitfalls The Seal VPE protocol — cryptographic provenance for AI agent prompts Same harness, five providers: how LLM injection defenses hold up across models LLM guardrails fail silently — measure them Serverless cost engineering for AI workloads — what we spend and why

How we work

From scope to roadmap

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 an AI systems architecture and security firm. We help companies decide what their AI systems should be, architect them for production, and then red-team the result — security is our spearhead, not our ceiling. We work where frontier AI meets production infrastructure: designing agent topology, tool permissions, and trust boundaries, then attacking them the way a real adversary would.

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 former Confidential clearance. CompTIA Security+ / Network+. We don't just advise on AI systems — we design and run our own: Meridian, an autonomous offensive-research pipeline; Division, a hierarchical multi-agent system with durable episodic memory and a full audit trail; Seal, cryptographically signed prompt provenance; and Sentinel, attack-surface intelligence from Certificate Transparency monitoring. We test AI the same way we build it — with an architect's discipline and an attacker's assumptions.

Focus

AI systems architecture · AI red-teaming · security architecture

Model

Time-boxed assessment & advisory — no long onsite embeds

Proven

EDR across 100+ environments · PCI-relevant multi-cloud

Stack

AI/agent systems · AWS · GCP · Azure · Kubernetes

Credentials

CompTIA Security+ · Network+ · former federal Confidential clearance

Entity

Grey Ridge Signals Group LLC

Start a conversation

Tell us what you're building and what you're worried about. A real person reads every inquiry and replies.

What happens next:
› we read it — a person, not a queue
› a reply with next steps, usually same day
› a short scoping call if it's a fit

Prefer email? contact@greyridgesignals.ai
Prefer calendar? Book a call