AETHERWARD

Service / 03

Secure AI Architecture & Remediation

Ground-up architecture, redesign, and hands-on repair for AI systems that need clear authority, containment, and operational trust.

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The objective

Build security into the operating model—and repair the places where a prototype’s assumptions no longer survive production.

We design or redesign AI systems around explicit trust, authority, failure, and recovery boundaries. The architecture accounts for models, agents, retrieval, memory, tools, orchestration, infrastructure, identity, human approvals, and downstream business systems.

For existing systems, findings become an engineering sequence: immediate containment, high-value control changes, structural remediation, test criteria, and safe rollout. Aetherward can advise, work alongside the implementation team, or deliver a bounded component directly.

Often requested as

AI security architectureLLM application hardeningAgent platform redesignSecurity remediationSecure-by-design AI consulting
Assessment surface

What we cover

  1. 01Trust zones and end-to-end authority architecture
  2. 02Identity, least privilege, secrets, and credential boundaries
  3. 03Sandboxing, network egress, execution, and tenant isolation
  4. 04Human approval and reversible high-impact operations
  5. 05Context, memory, retrieval, and state integrity
  6. 06Auditability, provenance, observability, and evidence design
  7. 07Failure containment, rollback, and graceful degradation
  8. 08Remediation implementation and independent validation
The handoff

What you receive

  1. 01Implementation-ready architecture package
  2. 02System, trust-boundary, and data-flow diagrams
  3. 03Control decisions and engineering specifications
  4. 04Prioritized remediation and migration sequence
  5. 05Validation plan, acceptance criteria, and operational runbooks

Designed outcomes

Explicit trust modelContained failure modesImplementable repair planSafer production path
How it works
01

Define authority

Establish intended capabilities, decision rights, unacceptable outcomes, and the system’s recovery obligations.

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Design boundaries

Place identities, data, models, tools, and execution inside explicit trust and containment zones.

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Sequence repairs

Translate gaps into an ordered plan balancing immediate risk reduction with durable architecture.

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Validate

Verify that implemented controls hold under realistic failure and adversarial conditions.

Operating boundary: All work is performed within explicitly authorized scope. High-risk actions remain human-approved, and findings are communicated with evidence, uncertainty, and practical remediation context.

Research-driven security

Built for attack surfaces traditional security models were not designed to see.

Aetherward’s assessment methods are informed by continuous internal research into behavioral attack chains, legitimate-tool abuse, permission composition, cross-tool escalation, context manipulation, model-to-tool boundary failures, poisoning, and abnormal agent behavior.

Explore Aetherward research ↗
Additional capabilities

Fixed-scope or project-based

Security Automation Engineering

Custom security tooling for teams that need specialized automation without building a full internal platform.

Triage automationDetection toolingScope-aware scannersEvidence collectionThreat-intelligence workflowsAnalyst tooling

Recurring engagement

Ongoing AI Security & Architecture Advisory

Independent review as models, data, integrations, vendors, threats, and business requirements change.

Architecture reviewIntegration reviewThreat updatesRelease gatesSecurity driftDecision support

Building or deploying an AI system?

Assess it. Secure it. Build it. Repair it. ↗