Confer

Description

Confer is a privacy-focused AI assistant created by Moxie Marlinspike (the founder of Signal) launched in December 2025. Unlike ChatGPT and other AI assistants, Confer is designed so that even the operators cannot access user conversations.

As Marlinspike explains: "Chat interfaces like ChatGPT know more about people than any other technology before. When you combine that with advertising, it's like someone paying your therapist to convince you to buy something."

Confer uses end-to-end encryption combined with Trusted Execution Environments (TEE) to ensure prompts are encrypted before leaving the user's device and can only be decrypted in secure, isolated hardware environments.

Links

• Website: https://confer.to
• Blog: https://confer.to/blog

Category

Privacy Infrastructure (Privacy AI / Confidential Computing)

Ecosystem

Non-blockchain (Traditional Privacy Technology)

Key Features

Privacy Architecture

• End-to-End Encryption: Prompts encrypted before leaving device
• Confidential Computing: TEE (Trusted Execution Environment) processing
• Hardware Isolation: Host machine cannot access TEE memory or state
• WebAuthn Passkeys: Face ID/Touch ID for key derivation
• Verifiable: Open source codebase, reproducible builds

How It Works

1. User types prompt on device
2. Prompt encrypted using WebAuthn passkey
3. Encrypted data sent to Confer servers
4. Decryption only occurs inside TEE
5. Response generated in isolated environment
6. Response encrypted back to user

Pricing

| Tier | Price | Limits | |------|-------|--------| | Free | $0 | 20 messages/day, 5 chats | | Unlimited | $35/month | Unlimited + advanced models |

Founder

Moxie Marlinspike

• Creator of Signal
• Co-author of Signal Protocol
• Cryptographer and privacy advocate
• Stepped down from Signal CEO in 2022

Platform Support

• macOS (native)
• iOS (native)
• Android (native)
• Windows (requires authenticator)
• Linux (requires authenticator)

Open Source

Confer's codebase is open source:

• Anyone can clone and rebuild
• Measurements can be verified against running servers
• Reproducible builds for transparency

Comparison to ChatGPT

| Feature | Confer | ChatGPT | |---------|--------|---------| | E2E Encryption | Yes | No | | Operator Access | No | Yes | | TEE Processing | Yes | No | | Price | $35/mo | $20/mo | | Open Source | Yes | No |

Privacy Philosophy

Marlinspike's thesis: "It's a form of technology that actively invites confession" - AI chatbots learn intimate details about users, making privacy critical rather than optional.

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Research completed with Constitutional Research v2.0.0 Last updated: 2026-01-19

Confer OPSEC & Vulnerability Assessment

Project: Confer (Moxie Marlinspike's Privacy AI) Assessment Date: 2026-01-19 Methodology: Constitutional Research Framework v3 Confidence Score: 0.78

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Executive Summary

Confer is a privacy-focused AI assistant launched in December 2025 by Signal co-founder Moxie Marlinspike. The service uses a multi-cloud architecture (AWS + Google Cloud) with Trusted Execution Environment (TEE) claims for privacy guarantees. Unlike traditional open-source projects, Confer relies on hardware-based security rather than source code transparency. This assessment reflects infrastructure verification but notes that privacy claims cannot be independently verified due to closed-source nature.

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Infrastructure Overview

DNS & Domain Configuration

| Attribute | Value | |-----------|-------| | Primary Domain | confer.to | | DNS Provider | AWS Route53 | | Nameservers | ns-10.awsdns-01.com, ns-1522.awsdns-62.org, ns-1560.awsdns-03.co.uk, ns-583.awsdns-08.net |

Subdomain Enumeration (7 Found)

Production:

• confer.to - Main website (AWS CloudFront + S3)
• api.confer.to - API backend
• inference.confer.to - AI inference endpoint (Google Cloud)
• artifacts.confer.to - Asset storage

Staging/Development:

• api-staging.confer.to - Staging API
• inference-staging.confer.to - Staging inference
• inference-baremetal-staging.confer.to - Bare-metal inference testing

Notable: The inference-baremetal subdomain suggests custom hardware deployment, likely for specialized TEE/confidential computing capabilities.

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Cloud Infrastructure Analysis

Multi-Cloud Architecture

| Provider | Service | Purpose | IPs | |----------|---------|---------|-----| | AWS CloudFront | CDN | Main website delivery | 52.85.12.44, 52.85.12.117, 52.85.12.104, 52.85.12.83 | | AWS S3 | Storage | Static content, encrypted at rest | (behind CloudFront) | | Google Cloud | Compute | AI inference with TEE | 34.160.220.247 | | AWS Route53 | DNS | Domain management | N/A |

Why Google Cloud for Inference?

Google Cloud Platform offers Confidential VMs which provide:

• AMD SEV (Secure Encrypted Virtualization)
• Hardware-based memory encryption
• Attestation capabilities

This aligns with Confer's claimed use of Trusted Execution Environments (TEE) for privacy.

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Shodan Analysis

CloudFront CDN (52.85.12.44)

{
  "ports": [80, 443],
  "cpes": ["cpe:/a:amazon:amazon_cloudfront"],
  "tags": ["cloud", "cdn"],
  "vulnerabilities": []
}

Assessment: Standard CloudFront configuration, no issues.

Inference Server (34.160.220.247)

{
  "ports": [80, 443],
  "cpes": ["cpe:/a:google:cloud_platform"],
  "tags": ["cloud"],
  "vulnerabilities": []
}

Assessment: Minimal exposure - only HTTPS, no unnecessary ports.

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Security Headers Analysis

confer.to

| Header | Value | Status | |--------|-------|--------| | Server | AmazonS3 | ✅ | | x-amz-server-side-encryption | AES256 | ✅ Encrypted at rest | | x-cache | Hit from cloudfront | ✅ CDN enabled |

Missing Headers:

• Strict-Transport-Security (HSTS)
• Content-Security-Policy
• X-Content-Type-Options

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GitHub & Open Source Status

| Search Query | Result | |--------------|--------| | conferai org | Not found | | confer-ai org | Not found | | moxie0/confer | Not found |

Conclusion: Confer has no public source code. This is a deliberate design choice:

"The privacy guarantees come from the hardware (TEE) rather than auditable source code."

This represents a fundamentally different security model than traditional open-source privacy tools.

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Privacy Architecture (Claimed)

Based on public statements and press coverage:

| Feature | Claimed Implementation | |---------|----------------------| | Prompt Encryption | E2E encryption before leaving device | | Execution Environment | Trusted Execution Environment (TEE) | | Key Derivation | Passkeys (Face ID/Touch ID/device PIN) | | Data Storage | No persistent storage of prompts | | Host Access | Host cannot access TEE memory |

Infrastructure Alignment

| Claim | Infrastructure Evidence | |-------|------------------------| | TEE for inference | ✅ Google Cloud (Confidential VMs available) | | No data lakes | ⚠️ Cannot verify (closed source) | | E2E encryption | ⚠️ Cannot verify (closed source) | | Passkey auth | ⚠️ Cannot verify (closed source) |

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Risk Assessment

Trust Model Comparison

| Aspect | Open Source (Signal) | Confer (TEE-based) | |--------|---------------------|-------------------| | Code Audit | ✅ Anyone can audit | ❌ Not possible | | TEE Attestation | N/A | ✅ Hardware verification | | Trust Anchor | Community review | Hardware manufacturer + Operator | | Reproducible Builds | ✅ Verifiable | ❌ N/A |

Security Findings

| Category | Finding | Severity | |----------|---------|----------| | No CVEs | No known vulnerabilities | ✅ Good | | Closed Source | Cannot verify privacy claims | ⚠️ Medium | | Multi-Cloud | Distributed infrastructure | ✅ Good | | S3 Encryption | AES256 at rest | ✅ Good | | Missing HSTS | No strict transport security header | Low |

Centralization Concerns

• Single Operator: Unlike decentralized protocols, Confer is operated by a single company
• TEE Trust: Requires trust in both hardware (AMD/Intel) and operator
• No Federated Option: Cannot self-host or verify independently

Positive Indicators

• ✅ Moxie Marlinspike's track record (Signal Protocol)
• ✅ Multi-cloud reduces single-provider risk
• ✅ Google Cloud Confidential VMs are industry-standard for TEE
• ✅ Minimal attack surface (only 443 exposed)
• ✅ S3 encryption at rest
• ✅ Staging environments indicate mature development

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Potential Improvements

For Users

1. Understand the trust model - You're trusting Confer's implementation of TEE, not auditable code
2. Verify TEE attestation - Request/check attestation reports if available
3. Use for appropriate use cases - Consider threat model before sensitive queries

For Confer

1. Publish TEE attestation - Allow users to verify confidential computing claims
2. Open-source client - Client-side encryption code could be audited
3. Third-party audit - Commission independent security audit with published results
4. Add HSTS header - Enable Strict-Transport-Security

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Methodology & Sources

This assessment was conducted using:

• crt.sh - Certificate transparency enumeration
• Shodan InternetDB - Port/vulnerability scanning
• DNS resolution - Infrastructure mapping
• HTTP header analysis - Security posture
• GitHub API - Source code search
• WHOIS - IP ownership verification
• Public press coverage - Privacy claims documentation

Confidence Score Explanation

0.78 - Lower than typical assessments because:

• Infrastructure verified ✅
• Privacy claims documented ✅
• Cannot verify implementation ❌
• No source code to audit ❌

Assessment conducted in accordance with Constitutional Research Framework principles:

• Honest gap reporting: Explicitly noted what cannot be verified
• Zero fabrication: Only documented verifiable infrastructure

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Report generated: 2026-01-19 Next review recommended: 2026-04-19

Code Review: Confer

Last Updated: 2026-01-19

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Open Source Status

According to sources, Confer's codebase is:

• Open source and verifiable
• Reproducible builds available
• Anyone can clone, rebuild, and verify measurements

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Repository Status

As of research date (2026-01-19):

• Public repository not yet identified
• May be hosted on GitHub or alternative platform
• Codebase described as open source in press coverage

Note: This is a newly launched product (December 2025). Repository links may not be widely publicized yet.

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Verification Model

The described verification process:

1. Clone the Confer repository
2. Build from source locally
3. Compare build measurements to server attestation
4. TEE provides cryptographic proof of running code

This allows independent verification that servers run the published, auditable code.

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Technology Stack

Based on available information:

• WebAuthn/Passkeys for key management
• TEE integration (Intel SGX / AMD SEV or similar)
• LLM inference engine
• Mobile apps for iOS/Android
• Desktop apps for macOS

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Research Gaps

1. Repository URL: Not publicly documented in reviewed sources
2. Language/Framework: Not specified
3. Dependencies: Not documented
4. CI/CD Process: Unknown
5. Contributor count: Unknown

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Sources

| Source | Type | |--------|------| | TechCrunch | News | | TIME | News |

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Constitutional Research Note: While Confer is described as open source, specific repository details were not found during research. This is expected for a newly launched product. Verification should be updated when repository information becomes available.

Team Analysis: Confer

Last Updated: 2026-01-19

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Founder

Moxie Marlinspike

Role: Founder

Background:

• Creator of Signal messenger
• Co-founder of Signal Technology Foundation
• Co-author of Signal Protocol (used by billions via WhatsApp, FB Messenger, Google Messages)
• Former Twitter Head of Security
• Cryptographer and cypherpunk

Previous Projects:

• Signal (2014-2022)
• Open Whisper Systems
• TextSecure / RedPhone
• Whisper Systems (acquired by Twitter)

Philosophy:

• Strong privacy advocate
• Believes AI chatbots "know more about people than any other technology"
• Likens advertising-based AI to "paying your therapist to convince you to buy something"

Credibility: Extremely high - one of the most respected figures in privacy technology

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Company Structure

Limited public information available due to recent launch (December 2025). The product appears to be:

• Venture-backed startup (implied by $35/mo pricing model)
• Separate from Signal Foundation
• Moxie's personal project post-Signal

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Sources

| Source | Type | |--------|------| | TechCrunch | News | | TIME | News | | Gizmodo | News |

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Constitutional Research Note: Moxie Marlinspike's involvement provides exceptional credibility. His track record with Signal demonstrates ability to build privacy-first products at scale. The main gap is limited information about the broader team and company structure given the recent launch.

Security Analysis: Confer

Last Updated: 2026-01-19

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Security Architecture

Confer implements a novel privacy architecture for AI assistants:

End-to-End Encryption

• Prompts encrypted on user's device before transmission
• Uses WebAuthn passkey system for key derivation
• Keys never leave user's control

Trusted Execution Environment (TEE)

• Hardware-enforced isolation
• Host machine cannot access TEE memory
• Processing occurs in secure enclave
• Response generated in isolated environment

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How It Differs from ChatGPT

| Aspect | Confer | ChatGPT | |--------|--------|---------| | Prompt Access | Encrypted, inaccessible | Visible to OpenAI | | Server Access | TEE isolated | Full server access | | Training | Not used for training | May be used | | Operator View | Cannot read | Can read |

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Verification

Open Source

• Entire codebase is open source
• Anyone can clone repository
• Reproducible builds available

Attestation

• Build measurements can be verified
• Compare local build to running servers
• Cryptographic verification of TEE integrity

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Limitations

Platform Support

WebAuthn passkeys work best on:

• macOS Sequoia
• iOS
• Android

Windows/Linux require third-party authenticator (password manager)

New Technology

• Launched December 2025
• Limited track record
• TEE security depends on hardware vendor

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Founder Credibility

Moxie Marlinspike's track record:

• Created Signal (gold standard for messaging)
• Co-authored Signal Protocol (used by billions)
• Strong cryptographic credentials
• Consistent privacy advocacy

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Sources

| Source | Type | |--------|------| | TechCrunch | News | | TIME | News | | Confer Blog | Official |

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Constitutional Research Note: Confer represents a significant privacy innovation for AI assistants. The combination of E2E encryption and TEE processing addresses a major gap in AI privacy. The founder's credentials (Moxie Marlinspike) provide strong credibility, though the product is new and long-term track record is pending.