Launch Announcement
Announcing the Trust Identity Protocol (TIP): HTTPS for the AI Era
TIP is a free, open, post-quantum, patent-protected cryptographic standard for verifying human identity and AI content provenance on the public internet. Built by The AI Lab. Two million identities and content registrations live today.
The Trust Identity Protocol gives the AI-era internet a cryptographic answer to who made this, and how.
TL;DR. The Trust Identity Protocol (TIP) is a free, open, post-quantum-secure, patent-protected standard for verifying human identity and AI content provenance on the public web. We built it at The AI Lab Intelligence Unobscured, Inc. and released it openly under Creative Commons Attribution 4.0. Two million identities and content registrations are live today. The full specification, governance documents, and reference implementations are public. This essay explains what TIP is, why we built it, how it works, and how you can integrate it today.
The trust crisis you are already living through
In 2026, you can no longer trust a single text, voice call, photo, email, or video on the public internet. AI can fake all of them. Perfectly. In under one second. This is not a marketing line. It is the operational reality every platform, publisher, employer, journalist, family member, and government is now adapting to in real time.
A cloned voice convinced a CFO to wire twenty-five million dollars to a fake supplier. A deepfake of a head of state announced fake war footage that crashed a regional stock index for forty-seven minutes. A fully synthetic news photo, indistinguishable from a Reuters image, was reprinted by four wire services before any of them caught it. A father received a video call from his teenage daughter screaming for help, made entirely of AI voice and face cloning from three Instagram clips.
Every existing standard for digital authenticity was built for a web where humans authored most content. We are now in a web where AI authors most content. The trust primitives that worked in 2010 do not survive 2026. The fix has to be a standard, not a feature. A standard, like HTTPS, is something anyone can implement, no one owns, and the entire internet adopts because the cost of not adopting it is too high. That is what we built. It is called the Trust Identity Protocol, or TIP. This essay is the formal public announcement.
What TIP is, in one sentence
TIP is the padlock for identity and content in the age of AI.
TIP is a free, open, post-quantum, patent-protected cryptographic standard for verifying human identity and AI content provenance on the public internet, governed by an independent body, free for the world to use, built by The AI Lab Intelligence Unobscured, Inc.
The "HTTPS for the AI Era" framing is not marketing. It is architecturally accurate. HTTPS proved that you were talking to the right server. TIP proves that you are looking at content from the right human, with the right Origin Code (Original Human, AI-Assisted, AI-Generated, or Mixed). The padlock you see in your browser address bar is the closest mental model.
The three layers of TIP
TIP is one protocol made of three composable layers. Each layer does one job. Together they form the complete trust primitive for the AI-era web.
Layer 1: TIP-ID, cryptographic identity
A TIP-ID is a post-quantum cryptographic identity for a verified human. It is issued by an accredited Verification Provider after a four-layer biometric stack (document, face, voice, liveness) confirms a real, unique, living person. Once issued, the TIP-ID is the user's universal cryptographic signing identity. It is recorded on a federated Directed Acyclic Graph network operated by independent Node Operators across multiple jurisdictions.
{
"tip_id": "tip:8f3a2b1c-9d4e-4f5a-b6c7-d8e9f0a1b2c3",
"issued_by_vp": "vp:nyc-veriphi-001",
"issued_at": "2026-05-24T18:00:00Z",
"public_key": {
"algorithm": "ML-DSA-65",
"key": "base64url-encoded-public-key-bytes..."
},
"jurisdiction": "US-NY",
"tier": "VERIFIED",
"revocation_status": "ACTIVE"
}Layer 2: TIP-CONTENT, per-asset provenance
Every piece of content the user signs with their TIP-ID generates a Content Trust ID (CTID), the cryptographic provenance token for that asset. The CTID is the per-asset proof that this exact content came from this exact verified human, with this exact Origin Code, at this exact time. Anyone, anywhere, can verify it for free.
{
"ctid": "ctid:7a9b1c3d-5e7f-8a0b-1c2d-3e4f5a6b7c8d",
"tip_id": "tip:8f3a2b1c-9d4e-4f5a-b6c7-d8e9f0a1b2c3",
"content_hash": "sha3-256:1b2c3d4e5f6a7b8c...",
"perceptual_hash": "phash:8a7b6c5d4e3f2a1b",
"origin_code": "OH",
"content_type": "text/html",
"signed_at": "2026-05-24T18:05:00Z",
"signature": {
"algorithm": "ML-DSA-65",
"signature": "base64url-encoded-signature-bytes..."
}
}Layer 3: TIP-TRUST, public trust score
Every TIP-ID accumulates a TIP Trust Score computed from four independent sub-scores running on the DAG network: Verification, Content, History, and Attestation. The score is GDPR-compliant by default. The tier label only (Highly Trusted, Trusted, Verified, Caution, Not Trusted) is visible publicly. The numeric score is opt-in. Zero-knowledge threshold proofs let relying parties confirm "score greater than or equal to 700" without learning the actual score.
The four Origin Codes
Every signed asset on TIP carries one of four Origin Codes. This is the universal vocabulary the protocol uses to describe how the content came into being.
| Code | Name | Meaning |
|---|---|---|
| OH | Original Human | 100 percent human created, no generative AI in the loop |
| AA | AI-Assisted | Human-led, AI used for editing, grammar, formatting, translation, or polish |
| AG | AI-Generated | Fully model-generated (text, image, video, audio) with human prompt only |
| MX | Mixed | Composite asset combining human and AI elements |
The creator declares the Origin Code at signing time. The TIP Classifier, a Multi-Model Consensus system, runs at signing time on most content and disputes any mismatched declarations through the Trust Tribunal. This is the part that makes TIP different from every other content authenticity standard.
Existing standards prove the device. TIP proves the human.
Post-quantum cryptography from day one
Most existing identity and content authenticity standards use pre-quantum cryptography (RSA, ECDSA). Once cryptographically relevant quantum computers arrive, every signature issued under those standards becomes forgeable. TIP is post-quantum from day one. We use the NIST-standardized algorithms ratified in 2024.
| Function | Algorithm | NIST Standard |
|---|---|---|
| Primary signatures | ML-DSA-65 (Dilithium3) | FIPS 204 |
| Root and genesis signatures | SLH-DSA-128s (SPHINCS+) | FIPS 205 |
| Key encapsulation | ML-KEM-768 (Kyber) | FIPS 203 |
| Hashing | SHAKE-256 and SHA-3 | FIPS 202 |
This is not theoretical future-proofing. Every identity, every content signature, every DAG transaction is already signed with post-quantum algorithms in production today. When cryptographically relevant quantum computers arrive, TIP signatures from 2026 will still verify in 2046.
How to verify a TIP-signed asset in ten lines of code
Here is the actual API call to verify a CTID. This works today, against the public TIP Registry. Free, public, no authentication required for verification. The same call works in JavaScript, Go, Rust, PHP, or curl.
import requests
def verify_tip_content(ctid: str) -> dict:
"""
Verify a TIP Content Trust ID against the public Registry.
No API key required. No rate limit for read operations.
"""
response = requests.get(f"https://registry.theailab.org/v1/ctid/{ctid}")
response.raise_for_status()
return response.json()
result = verify_tip_content("ctid:7a9b1c3d-5e7f-8a0b-1c2d-3e4f5a6b7c8d")
print(f"Origin Code: {result['origin_code']}")
print(f"Verified Human: {result['tip_id_tier']}")
print(f"Signature Valid: {result['signature_verified']}")How TIP compares to existing standards
We did not build TIP to compete with C2PA or JPEG Trust. We built it because they solve a related but different problem. Existing standards prove the device. TIP proves the human. They are complementary. The TIP Classifier accepts C2PA metadata as one of its input signals when present.
| Capability | C2PA | JPEG Trust | Watermarks | TIP |
|---|---|---|---|---|
| Proves the camera that took a photo | Yes | Yes | Indirect | Not the focus |
| Proves the human who created the content | No | No | No | Yes |
| Binds identity to content cryptographically | No | No | No | Yes |
| Distinguishes AI-Generated from AI-Assisted | No | Limited | No | Yes (4 Origin Codes) |
| Post-quantum signatures | No | No | No | Yes |
| Strippable or forgeable | Metadata removable | Metadata removable | Removable | Cryptographic, not removable |
| Free public verification | Yes | Yes | N/A | Yes |
| Open spec | Yes | Yes | Varies | Yes (CC-BY 4.0) |
| Independent governance | C2PA Coalition | ISO | Varies | AI Trust Council |
Governance: the AI Trust Council
TIP is not governed by The AI Lab. It is governed by the AI Trust Council, an independent body modeled on IETF rough consensus. Five constituencies hold equal voting weight: Creators, Institutions, Publishers, Operators, and Partners.
A journalist in Nairobi has the same protocol vote as a Fortune 500 platform in San Francisco. Governance power comes from your role in the ecosystem, not the size of your check. The Charter (v1.0) was ratified May 3, 2026. The Bylaws are eighteen articles. Both are published in full at theailab.org/charter and theailab.org/bylaws.
To inquire about joining the AI Trust Council, email council@theailab.org.
Licensing: CC-BY 4.0 for the spec, TIPCL-1.0 for the implementation
We picked two licenses deliberately. The protocol specification is licensed under CC-BY 4.0, so anyone can implement, fork, extend, or translate it. The reference implementation is licensed under TIPCL-1.0, free for non-commercial use, small business, nonprofit, government, education, and journalism, with a tiered commercial license for larger organizations. TIPCL-1.0 converts to Apache 2.0 on January 1, 2031, irrevocably.
The TIPCL-1.0 free tier covers individuals under one hundred thousand US dollars in annual revenue, small businesses under one hundred thousand US dollars in annual revenue, nonprofits and NGOs and charities of any size, educational institutions of any size, government entities of any size, journalism organizations (editorial use only) of any size, and R&D and testing within published per-organization ceilings.
The TIPCL-1.0 commercial schedule runs across nine tiers, from Micro (one hundred thousand to two hundred fifty thousand US dollars annual revenue, five hundred US dollars per year) through Global (ten billion US dollars and above, five hundred fifty thousand US dollars per year). Every dollar a Fortune 500 pays for the commercial license funds the free public verification infrastructure for journalists, students, government agencies, and small businesses, forever. Full license terms at theailab.org/tip-license. For licensing questions, email licensing@theailab.org.
What is live today
TIP is in production. The specification (v2), TIP-ID issuance through accredited Verification Providers, TIP-CONTENT signing through the WordPress plugin and browser extensions on Chrome, Firefox, and Safari, the public verification API at registry.theailab.org/v1, the federated DAG running across fifteen-plus Node Operators in five-plus jurisdictions, the convened AI Trust Council, and the Multi-Model Consensus Classifier are all live as of this writing. Genesis Block ceremony for the Council is June 1, 2026.
Traction at announcement (May 2026):
- Over two million TIP-ID and content registrations live
- Nearly five hundred thousand views on our explainer content in thirty days
- Eleven institutional founding partners across journalism, fact-checking, AI infrastructure, and public-sector identity
- Four active government engagements across four continents
- Five US provisional patents (Claim Groups A through P) and nine registered trademarks
- NVIDIA Inception member and AWS Activate portfolio company
Why now: the EU AI Act Article 50
The European Union AI Act Article 50 becomes legally enforceable on August 2, 2026. It mandates strict, machine-readable disclosure of AI-generated content on every platform that serves European users. Non-compliance penalties scale to seven percent of global revenue. Fourteen additional jurisdictions are tracking toward similar disclosure regulations through 2027 (Colorado AI Act, NYC Local Law 144, Brazil IA Act, India DPDP framework, UK Online Safety Act amendments).
The market has nine months to adopt a standard. There is no neutral, post-quantum, free implementation in market other than TIP. We did not build the protocol to capture the regulation. The regulation arrived because the problem TIP solves is real.
How you can use TIP today
Individual creators install the TIP browser extension on Chrome, Firefox, or Safari, enroll a TIP-ID at any accredited VP, and sign their content from any web form with one click. The extension surfaces verification badges showing OH, AA, AG, or MX in real time on any page.
Website and publication operators install the TIP WordPress plugin (or the equivalent for their CMS) and configure Publisher Mode to auto-sign all posts under an editorial TIP-ID, with trust badges displayed on every article.
Developers read the full specification, call the free public verification API at registry.theailab.org/v1, and pull reference implementations in TypeScript, Python, Go, and Rust from the GitHub organization.
Publishers, platforms, and enterprises email tip@theailab.org. Organizations seeking to become accredited Verification Providers email accreditation@theailab.org. Governments, regulators, and standards bodies email council@theailab.org.
Roadmap
| Window | Milestone |
|---|---|
| June 1, 2026 | AI Trust Council Genesis Block ceremony, founding members recorded permanently on the DAG |
| July 2026 | TIP Classifier v2 training begins on TPU and GPU clusters, target 95 percent accuracy on a public C2PA-compatible benchmark |
| August 2, 2026 | EU AI Act Article 50 enforceable, TIP public general availability |
| Q4 2026 | Five additional Verification Provider accreditations, first government TIP-ID issuance pilot in two jurisdictions |
| 2027 | Target 100 million TIP-IDs, one billion daily Registry lookups, integration with at least three major messaging platforms |
| January 1, 2031 | TIPCL-1.0 reference implementation converts to Apache 2.0, irrevocable |
Trust is the only feature of the internet you cannot retrofit later.
Closing
Trust is the only feature of the internet you cannot retrofit later. HTTPS proved this in the 1990s. The trust layer either arrives before the rails are laid, or it never arrives at all. We built TIP because the next thirty years of the internet cannot run on the assumption that humans authored what you see. They will not. AI will. The question is whether you have a cryptographic way to know which is which.
The Trust Identity Protocol is our answer. It is open. It is free. It is post-quantum. It is patented for defense, not for rent-extraction. It is governed by an independent body. It is in production today with two million users. Build on it. Verify on it. Govern on it. Help us ship it.
About the Author
Dinesh Mendhe is the Founder and Chairman of The AI Lab Intelligence Unobscured, Inc., the American AI trust certification and content provenance company that created Trust Identity Protocol (TIP) and originated the #HumanOrAI campaign. He can be reached at tip@theailab.org, on LinkedIn, via ORCID, and on Wikidata.
Contact directory
- General inquiries, press, security: tip@theailab.org
- Commercial licensing under TIPCL-1.0: licensing@theailab.org
- Verification Provider accreditation: accreditation@theailab.org
- AI Trust Council membership and governance: council@theailab.org
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