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A SECURITY PRACTICE · ESTABLISHED 2008

AI Responsibility, by design.

Security. Safety. Governance. Compliance. Incident Response.

Five domains, one practice, one philosophy — every AI deployment in a regulated environment needs decisions that are fast enough to act on and defensible enough to stand.

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NIST AI RMF Aligned
ISO 42001 Ready
HIPAA Posture
Security-First Design
Research Lab Heritage

Five domains. One coherent philosophy.

AI deployments in regulated industries fail in predictable ways — usually because organizations treat the five responsibility domains as separate problems with separate vendors. We treat them as one problem with one practice.

DECISION-READY AI FAST · DEFENSIBLE 🛡️ Security Protect AI systems 🤖 Safety Prevent AI harm 📋 Compliance Meet regulators 🚨 Incident Response Act when it matters ⚖️ Governance Frameworks & policy

The hub is what makes the spokes worth having. Five domains contribute signals; the practice produces decisions.

Detection isn't the bottleneck. Decisions are.

Every regulated organization we engage already has signals — bias indicators, drift telemetry, policy violations, audit alerts. They detect plenty. The question that wakes up their CISO isn't "did we catch it?" It's "what do we do, how fast, and can we defend the decision in front of a regulator?"

Detection isn't the bottleneck. Decisions are. 📡 SIGNAL What you already detect bias indicators drift telemetry policy violations audit alerts ⚖️ CONTEXTUALIZE The Intelligence Decision Layer NIST AI RMF · ISO 42001 HIPAA · FDA CDS EU AI Act · HITRUST CSF internal policy 🎯 DEFENSIBLE ACTION Fast enough · defensible enough documented audit-ready regulator-acceptable standing under review ↑ THE INTELLIGENCE DECISION LAYER ControlMesh inside ARIA. Senior judgment in consulting. Same logic, different scale.

That gap — between signal and defensible action — is where AI deployments live or die. Across all five responsibility domains, everything our practice does is in service of closing it. The middle box has a name: the Intelligence Decision Layer. Inside ARIA, that layer is ControlMesh — running continuously, at platform scale. In consulting engagements, that layer is senior judgment in the room. Clients engage with the platform alone, the advisory alone, or both together — whichever fits.

The result is AI that holds up under three pressures simultaneously: operational (it has to keep running), audit (it has to be explainable), and adversarial (it has to resist attack). Most consultancies pick one. We work all three.

A practice. And a platform.

Most of what we do is consulting work — embedded in client teams, shoulder-to-shoulder with their CISO, compliance, and engineering leadership. The recurring patterns we saw in healthcare AI governance became something more: ARIA — our continuous compliance platform for AI systems. Clients engage with the platform alone, the advisory alone, or both together — whichever fits their situation.

ARIA · CONTINUOUS COMPLIANCE FOR AI

A compliance report is a snapshot.
Your AI drifts daily.

ARIA doesn't just assess your AI posture once and export a PDF. It monitors, tests, and verifies your AI against the frameworks you operate under — NIST AI RMF, HIPAA, ISO 42001, FDA CDS, EU AI Act, and HITRUST CSF — with evidence your auditor will accept.

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RESPONSIBLE AI · VERIFIED

8Continuous compliance pillars
53Cross-standard mappings
180Days · The Pulse window
6Active frameworks

Four ways to engage. Senior practitioners on every one.

Our engagements don't ramp up junior consultants on your dime. Every assessment, every architecture review, every incident response, and every fractional leadership engagement is led by senior practitioners with credentials we'd put up against any firm — at a price point that doesn't penalize you for not being a Fortune 100.

Assess

Posture assessments that map your AI deployment against the responsibility framework — finding the gaps, scoring the risk, and prioritizing remediation that matches your regulatory exposure.

Architect

Security-by-design across the AI/ML lifecycle. Adversarial defense, guardrail architecture, governance instrumentation, audit-trail engineering — built into your systems, not bolted on later.

Respond

When an AI system misbehaves — bias incident, drift breach, regulatory inquiry — we engage with your CISO, compliance, and engineering leadership simultaneously. Decision-ready, defensible, fast.

Lead New

Embedded leadership when you need senior AI-security judgment in the room, not just on a report. Fractional CTO engagements for AI-security and AI-governance teams that need experienced leadership without a full-time hire.

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Five waves of security work. One practice, since 2008.

Each transformative technology brings real business advantage — and each one is rushed into production with security treated as a follow-up. We've watched the pattern five times: applications, networks, cloud, IoT, and now AI. Aggi was founded in 2008. The work began earlier and kept accumulating. Each wave adds; none replace.

The same pattern, five times: adoption raced, security caught up. + + + 📱 Applications PRE-2008 Adoption Security before Aggi 🌐 Networks 2002 ONWARDS Adoption Security at research lab AGGI FOUNDED 2008 PLANO TX ☁️ Cloud 2009 ONWARDS Adoption Security 📡 IoT 2012 ONWARDS Adoption Security 🤖 AI 2023 · TODAY Adoption Security SECURITY DISCIPLINE — THE CONSTANT WE BRING TO EACH WAVE

Businesses race to adopt new technology for the growth it promises; the responsibility work usually gets postponed until something breaks. We do the responsibility work in parallel with the adoption — so the upside arrives without the unmanaged downside.

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Ready to talk about your AI deployment?

Whether you're starting an AI initiative, struggling with governance debt, or responding to a regulatory inquiry — start a conversation. We respond within one business day.