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Security

AI That Reads Your Email Should Earn Your Trust

Dedicated infrastructure per agency, managed by Agenteous. Every client action requires approval. Every action logged. Not a feature list: the architecture.

Zero Public ExposureHuman Approval on All Client Actions75+ Clients Isolated95 Services Monitored 24/7
Public InternetPF FirewallTailscale VPN MeshAgenteousFully ManagedKnowledgeExec. Asst.DeliverySecurityOps IntelClient Exp.

Four Risks Every AI System Must Solve

AI that reads emails, monitors Slack, and drafts communications creates real risk. Agenteous prevents each one.

Data Cross-Contamination

Client A's data appears in a draft meant for Client B.

Universal client code isolation. Data cannot cross boundaries.

Identity Exposure

Your agency name or AI involvement is revealed to a client.

60+ term blocklist blocks any draft containing identifying information.

Unsupervised Actions

AI sends an email or makes a change without approval.

Every client-facing action requires explicit human approval in Slack.

Hallucinated Content

AI invents information and presents it as fact.

Human review catches hallucinations before anything ships. Corrections improve future drafts.

Invisible to the Internet

Dedicated infrastructure per agency. Zero public exposure. No website to hack, no login page to brute-force, no open ports to scan. Remote access via authenticated Tailscale encrypted mesh only.

Nothing Goes Out Without a Human Tap

Agents read freely. They cannot act externally without your approval.

Agent Prepares

Drafts email, Slack message, task update, or portal change from up to six sources.

Human Reviews

Full content, recipient, and client code posted to Slack. Approve, Edit, or Reject.

Action Logged

Timestamp, approver, full content recorded. Nothing happens silently.

A

Client Experience Agent

To: sarah@meridiangroup.com

Client: MRD-2024

Subject: RE: Q2 Campaign Timeline Update

Hi Sarah, thanks for the update on the Q2 timeline. We have reviewed the revised schedule and the adjusted launch dates work for our team. We will have the landing pages ready by March 28 as discussed.

No exceptions. Routine emails, urgent replies, client reports: human tap required.

Autonomy Is Earned. Never Assumed.

New deployments start at maximum guardrails. Permissions expand after proven reliability.

Weeks 1 through 4

You Approve Everything

  • Every draft, response, and report requires approval
  • System learns your voice, preferences, and standards
  • Daily action log for full visibility
Weeks 5 through 12

Internal Work Runs Independently

  • Time tracking, knowledge base, and health monitoring run without approval
  • Nothing client-facing runs unsupervised
  • All client-facing work still requires your approval
Month 4 and Beyond

You Decide What to Trust

  • Accuracy data lets you release low-risk actions from review
  • Client emails, published content, and portal changes always require a human tap

Any client-facing error reverts to full supervision until re-established.

Zero Client Data Crossover.

ABC

XYZ

QRS

MRD

Agent Query
ABC only

+ Global Knowledge (HubSpot docs, best practices)

Segmented across email, project management, documents, knowledge base, and marketing content. When an agent drafts for Client A, it cannot access Client B. Database-level isolation.

Isolation persists across agent handoffs. Client boundaries travel with every transfer. In multi-tenant marketing mode, per-client content, SEO data, personas, and content pillars are fully isolated with dedicated RAG collections.

Your Clients Will Never Know

AI-generated communications never reveal your operations, AI involvement, or other clients.

Every outbound draft scanned against a 60+ term blocklist: agency name, internal tools, AI references, other client names. Any match blocks it.

The system never identifies itself as AI. It uses your agency's name and voice.

A delayed response costs far less than an identity leak.

Draft Scan

Hi Sarah, thanks for the update on the Q2 timeline. We have reviewed the revised schedule and the adjusted launch dates work for our team.

Every Agent Has Boundaries It Cannot Cross

Each agent accesses only the tools and data its role requires.

Knowledge Base can search but cannot email. CEO Assistant can draft but cannot access portals. Security can fix configs but cannot modify code.

No agent can expand its permissions or grant access to another. Set at deployment, enforced at system level.

Technical Deep Dive

For Technical Evaluators

Need the Full Technical Picture?

Our Security Architecture deep dive covers network isolation, agent permissions, credential management, threat mitigation, and every audit system under the hood.

If Something Breaks, It Fixes Itself

All services monitored continuously. Failures restart within minutes. Critical issues escalate immediately. Daily encrypted backups.

Also monitors business risks: SLA breaches, cancellation language, stalled deliverables. Deduplicated.

Service Health

Last checked: 47s ago
AI Gateway
Healthy
Email Poller
Healthy
Draft Service
Restarting...
Slack Monitor
Healthy
Front Monitor
Healthy
Email Draft Agent
Healthy
Time Tracking
Healthy
Meeting Intel
Healthy
Security Agent
Healthy
Upkeep Brain
Healthy
Watchdog
Healthy
Cron Dispatcher
Healthy

Inbound Content Is Screened Before Any Agent Sees It

Every email, transcript, and message screened through three layers: spam filtering, phishing detection, and adversarial AI manipulation scanning. Blocked before any agent sees it.

Inbound Content Scanner

Every Action. Every Decision. Every Timestamp.

What, when, which agent, whether a human approved it. Every entry cryptographically chained to the previous one via SHA-256: tamper-evident by design. Version-controlled with daily snapshots.

Questions We Get Asked

No. Every outbound message requires explicit human approval in Slack with full content, recipient, and client code visible before anything sends. The system processes 700+ email actions daily across classification, labeling, drafting, and archiving, with zero autonomous sends in 12 months of production. Approve, Edit, Redraft, Skip, and Archive buttons give you complete control over every outbound communication.

No. With 75+ clients isolated on the reference deployment, a universal client code system enforces database-level boundaries across every service, agent, and data store. A 60+ term blocklist scanner checks every outbound draft for cross-client references, agency names, AI tool names, and other identifying information. Any match blocks the draft before it can be sent, and the isolation persists across agent handoffs.

Every client-facing output passes through human approval in Slack before it reaches anyone, so hallucinated content is caught before it ships. For marketing content, the Brand Guardian adds a second review layer with three-tier risk scoring: low-risk posts are auto-approved, medium-risk content gets review notes, and high-risk content triggers mandatory human legal review. When you edit or reject a draft, the corrections feed into the agent's per-client memory for continuous improvement.

No. Agenteous runs on dedicated infrastructure that is never shared with other agencies. Contractual data processing agreements with all AI providers, including Google, Anthropic, and OpenAI, explicitly prohibit training on your data. Your API keys connect directly to provider accounts with published terms, and nothing enters a training pipeline. The entire system is invisible to the internet with zero public exposure.

Automatic restart within minutes. Critical failures escalate immediately. Self-healing by design.

Never. Each agency runs on dedicated infrastructure. Databases, AI models, and file storage are completely isolated. No agency can access another agency's data, and no data crosses boundaries even at the AI provider level.

Only with explicit authorization. The HubSpot Builder Agent requires a secure API key submission and confirms the portal ID before writing anything. Audit operations use read-only access. Every write action goes through human approval first.

Agenteous operates under SOC 2 principles with dedicated infrastructure, full audit trails, hash-chained action logs, automated security monitoring on a 120-second cycle, and contractual data processing agreements with all AI providers prohibiting training on your data.

0

Public Exposure

Invisible to the internet

0%

Human Approval

On all client-facing actions

0+

Clients Isolated

Zero data crossover

0

Services Self-Monitored

Auto-restart on failure

See It Running. Live.

No PDF. We show you the live system: Slack channels, approval flows, and audit logs.

Every claim on this page is verifiable in the live system.