Forem: Raheem Larry Babatunde

The 21 External Organisations = Enterprise Pipeline. Our agents come from 20 distinct companies across 8 verticals:

Raheem Larry Babatunde — Sun, 10 May 2026 00:41:36 +0000

71 agents. 21 organizations. 8 industries. 0.963 average trust score.

The VeriSigilAI trust network is growing.

AI passports are already being issued across:
→ Healthcare agents
→ Financial analysis systems
→ Security operations
→ Educational AI tutors
→ Autonomous navigation systems

This is not just about AI generation anymore.

It’s about:
identity, provenance, verification, and operational trust.

The next phase of AI infrastructure will require systems that can answer:
• Who is this agent?
• Who issued it?
• Can it be trusted?
• Can its actions be audited?

Right now, the network has 71 active agents and 6 registered verifiers.

The next step is trust connectivity:
verification edges, reputation flows, and operational governance between agents.

The shift toward verifiable AI identity has already started.

Issue a passport:
api.verisigilai.com/v1/passport/issue

AIAgents #EUAIAct #TrustInfrastructure #VeriSigilAI #BuildingInPublic

Does Your AI Agent Need to Be Verified? What the EU AI Act and US Regulations Now Require

Raheem Larry Babatunde — Sat, 09 May 2026 13:14:54 +0000

**Governments are making AI agent verification mandatory.
Most companies know they have an AI identity problem.
Very few know VeriSigil already solved it.
VeriSigil gives every AI agent a cryptographic identity — so when regulators ask
“Can you prove this agent is yours?”
the answer is yes, in seconds.
We are the fastest way to get compliant:

Live Passport + AI Face Identity

Signed audit trail
Shadow Detection™
EU AI Act & NIST-ready

✅ Free to try
✅ No credit card
✅ Live today
Try the 60-second AI Agent Security Scanner here:
👉 https://verisigilai.com/scanner.html
VeriSigil AI — The trust infrastructure layer for the agentic era.

Signature (add at the bottom):
Raheem Larry Babatunde
Founder & CEO, VeriSigil AI
raheem@verisigilai.com
www.verisigilai.com**

EU AI Act Compliance Checklist for AI Agents (87 Days Until Enforcement)

Raheem Larry Babatunde — Thu, 07 May 2026 20:32:06 +0000

The EU AI Act becomes fully enforceable on August 1, 2026 — 87 days away.
Most companies know they need to comply. Almost none know what "ready" means at the technical level.
This checklist covers everything your AI agent needs before the deadline.

Step 1 — Determine Your Risk Classification
The EU AI Act classifies AI systems into four tiers. Your obligations depend entirely on which tier your agent falls into.
Unacceptable Risk — Prohibited. Cannot deploy in EU.
Examples: social scoring, real-time biometric surveillance of public spaces.
High Risk — Strictest obligations. Must comply before August 1.
Examples: medical diagnosis, credit scoring, hiring decisions, education assessment, law enforcement, critical infrastructure, border control.
Limited Risk — Transparency requirements only.
Examples: chatbots, customer support agents, content generation.
Minimal Risk — Voluntary code of conduct only.
Examples: spam filters, recommendation engines, AI in games.

Not sure which tier your agent falls into? Use the free scanner at verisigilai.com/scanner.html — it classifies your agent in 3 seconds.

Step 2 — High-Risk Compliance Checklist
If your agent is high-risk, every item below is legally required.
Identity and Transparency

Cryptographic agent identity — Your agent must have a verifiable, tamper-proof identity. A W3C DID or equivalent cryptographic identifier that proves the agent is who it claims to be. Generic API keys do not qualify.
Clear identification to users — Article 50 requires AI systems to clearly identify themselves as AI when interacting with humans. Must be technically enforced, not just documented.
Issuer attribution — The organisation that built and deployed the agent must be clearly documented and verifiable.
Human-readable verified name — Regulators and auditors must be able to identify the agent in plain language, not just by cryptographic ID.

Audit Trail and Logging

Immutable audit trail — Every decision and action taken by the agent must be logged with a tamper-proof signature. Logs cannot be retroactively altered.
Decision traceability — You must be able to reconstruct any agent decision from the audit log — what data it used, what it decided, and when.
Log retention policy — High-risk AI logs must be retained for a minimum period. Define and document your retention policy now.

Human Oversight

Human override capability — A designated human must be able to intervene, override, or shut down the agent at any time. Must be technically implemented — not just stated in a policy document.
Escalation workflow — Define which decisions require human approval before the agent acts. Document and technically enforce these boundaries.
Monitoring and alerting — Real-time monitoring that alerts a human when the agent behaves outside expected parameters.

Security

Clone and impersonation detection — A malicious actor impersonating your registered agent could create regulatory liability. Implement detection for cloned or impersonating agents.
Prompt injection protection — High-risk agents interacting with external inputs must have documented protections against prompt injection attacks.
Access controls — Document who can access, modify, or deploy the agent and how that access is controlled and audited.

Documentation

Technical documentation — A detailed technical file describing the agent's purpose, design, training data if applicable, known limitations, and risk mitigation measures.
Conformity assessment — For highest-risk applications (biometrics, critical infrastructure, law enforcement), third-party assessment is required before deployment. Self-certification is not permitted.
EU AI Act risk classification declaration — Formally document which risk tier your agent falls into and why, with supporting evidence.

Step 3 — Limited Risk Compliance
If your agent is limited risk, your primary obligation is transparency — users must know they are interacting with an AI.

AI identification disclosure — Clearly state the system is AI at the start of every interaction.
Content labelling — AI-generated content must be labelled as such.

Step 4 — Register in the EU AI Database
High-risk AI systems must be registered in the EU's public AI database before deployment. Required fields:

System name, type, purpose, and risk classification
Provider legal entity name, address, and contact details
Declaration of conformity

Step 5 — The Fastest Way to Start
Most identity, audit, and transparency requirements can be satisfied with a single API call.
When you issue a VeriSigil AI passport for your agent, you immediately get:
json{
"agent_id": "vsa_52aaf4c1141d",
"display_name": "FinanceGuard-7",
"issuer_org": "FinTech Corp",
"eu_risk_class": "LIMITED_RISK",
"compliant": true,
"trust_score": 0.97,
"verification_tier": 0,
"tier_label": "Self-Declared",
"eu_ai_act": true,
"stored": true
}
This satisfies:

Cryptographic identity (Ed25519 signed, W3C DID)
EU AI Act risk classification embedded at issuance
Immutable audit trail from date of issuance
Human-readable verified name with issuer attribution
Shadow Detection for clone and impersonation scanning

Try it free — no signup, no credit card, 60 seconds:
bashcurl -X POST \
https://verisigil-api-production.up.railway.app/v1/passport/issue \
-H "Content-Type: application/json" \
-H "x-api-key: verisigil-secret-2026" \
-d '{
"agent_name": "my-agent",
"display_name": "MyAgent",
"issuer_org": "MyCompany",
"owner": "you@yourcompany.com"
}'

Key Dates
DateWhat Happens✅ Feb 2, 2025Prohibited AI systems banned✅ Aug 2, 2025GPAI model rules apply⚠️ Aug 1, 2026High-risk AI and transparency rules enforced. Fines up to €30M.Aug 2, 2027Additional rules for AI in regulated products

Free Tools

Free scanner — paste your agent config, get instant risk report: verisigilai.com/scanner.html
Developer quickstart — issue your first passport in 60 seconds: verisigilai.com/quickstart.html
Public agent report — shareable compliance URL for any passport: verisigilai.com/agent.html

Full Checklist Article
Read the complete version with all details at:
verisigilai.com/blog/eu-ai-act-compliance-checklist.html

Built by Raheem Larry Babatunde — Founder & CEO, VeriSigil AI
raheem@verisigilai.com · verisigilai.com

euaiact #ai #security #webdev

Why Every AI Agent Needs a Cryptographic Identity

Raheem Larry Babatunde — Mon, 04 May 2026 23:11:25 +0000

Why Every AI Agent Needs a Cryptographic Identity

The problem nobody is talking about

Every website you visit today has an SSL certificate. That green padlock in your browser proves the website is who it claims to be. Without it, you would have no way to know if you were talking to your bank or an impostor.

Now consider this: every AI agent running in production today has no equivalent.

No identity. No verification. No way to prove it is who it claims to be.

A financial AI agent executing trades. A customer service agent handling sensitive data. A compliance agent processing medical records. Any of these can be impersonated, compromised mid-execution, or manipulated — and you would never know.

Until something goes wrong.

The scale of the problem

There are already millions of autonomous AI agents deployed across finance, healthcare, legal, and enterprise software. That number is growing exponentially.

LangChain has over 80,000 GitHub stars. AutoGPT has over 160,000. OpenAI's Agents SDK launched in 2025 and was adopted by thousands of companies within weeks.

Every single one of those agents runs with zero cryptographic identity.

And from August 2026, that becomes a legal problem.

The EU AI Act mandates that AI agents operating in high-risk categories must have verifiable audit trails, certified identity, and demonstrable compliance. The penalty for non-compliance: €30M or 6% of global revenue.

There are currently zero tools that provide certified identity for AI agents at the infrastructure level.

That is the gap VeriSigil AI was built to fill.

What we built

VeriSigil AI is the trust layer for autonomous AI agents. Think of it as SSL — but for AI agents instead of websites.

Every agent gets a cryptographic identity passport — a W3C-standard DID (Decentralised Identifier) signed with Ed25519, the same algorithm used by modern TLS certificates and Signal.

Here is what a VeriSigil passport looks like:

{
  "agent_id":       "vsa_537e3974858f",
  "did":            "did:web:verisigilai.com:agents:my-agent-74858f",
  "signature":      "LMg6Sr/wjbmWoIC1Stvkhxq...",
  "signature_type": "Ed25519",
  "status":         "ACTIVE",
  "trust_score":    0.9735,
  "trust_level":    "TRUSTED",
  "eu_ai_act":      true,
  "compliant":      true,
  "issued_at":      "2026-05-04T14:15:28Z",
  "expires_at":     "2027-05-04T14:15:28Z"
}

That passport is:

Cryptographically signed — cannot be forged
Publicly verifiable — anyone can check it
Stored immutably — every action is audited
EU AI Act compliant — built to the regulation from day one

The trust network

Identity alone is not enough.

An agent can have a valid identity and still behave maliciously if it is compromised. This is the difference between a website having SSL and a website being trustworthy.

That is why we built a dynamic trust network.

Every time an independent developer or enterprise verifies an agent, that verification is recorded cryptographically and contributes to the agent's trust score. The more independent parties that confirm an agent, the higher its trust score.

It works exactly like a credit score — but for AI agents.

Here is a real example from our live system:

Agent: vsa_537e3974858f

Verifier 1: ver_public        (reputation: 0.3) ✅
Verifier 2: ver_developer_001 (reputation: 0.5) ✅  
Verifier 3: ver_0c4af33d      (reputation: 0.5) ✅

Trust Score:      0.9735
Trust Level:      TRUSTED
Unique Verifiers: 3

Each verification event is signed with Ed25519. Every event is stored immutably. The entire history is publicly auditable.

This is what AI agent trust should look like. Not a flag in a database. A cryptographically verifiable network of independent confirmations.

Try it yourself — right now

The API is live. No signup required for the demo.

Issue a test passport:

https://verisigil-api-production.up.railway.app/issue-test

Verify an agent:

https://verisigil-api-production.up.railway.app/verify/vsa_537e3974858f

See the live trust graph:

https://www.verisigilai.com/trust_network.html

See the W3C DID document:

https://verisigil-api-production.up.railway.app/did/vsa_537e3974858f

The full SDK is open source on GitHub:

https://github.com/raheem-verisigil/verisigil-ai

What the trust graph looks like

When you visualise the trust network, you see exactly which independent parties have verified an agent, their reputation scores, and the timestamps of each verification event.

This is not abstract infrastructure. It is visible, inspectable, and auditable by anyone — including EU regulators.

Visit verisigilai.com/trust_network.html to see it live.

Join the trust network

We are looking for developers building AI agents who want to:

Become a verifier — get a free API key and appear as a named node in the trust graph
Issue passports for your agents and make them verifiable
Integrate VeriSigil into your LangChain, AutoGPT, or CrewAI workflows
Contribute to the open source SDK

Getting started takes 30 seconds:

👉 Get your free verifier API key

What is coming

We are currently raising a $4.5M pre-seed round to build:

Behavioral fingerprinting — ML-powered continuous authentication that detects compromised agents even when their identity is valid
ZK compliance engine — zero-knowledge proofs for EU AI Act certification without exposing sensitive data
MCP security scanner — real-time code scanning and threat detection for agent actions
Federated trust network — decentralised verification across organisations

If you are building in AI security, agent infrastructure, or EU AI Act compliance — I would love to talk.

The bottom line

Every website needs SSL. Every AI agent needs VeriSigil.

The EU AI Act enforcement clock is running. August 2026 is not far away.

We built the infrastructure. We opened the network. Now we need independent developers to join and make it real.

Try it: verisigil-api-production.up.railway.app/issue-test

See the trust graph: verisigilai.com/trust_network.html

GitHub: github.com/raheem-verisigil/verisigil-ai

Website: verisigilai.com

Raheem Larry Babatunde is the Founder & CEO of VeriSigil AI. 7+ years building fraud detection systems that caught $50M+ in financial crime. Now building trust infrastructure for the AI agent era.

Contact: raheem@verisigilai.com

Follow VeriSigil AI on LinkedIn and GitHub for weekly building-in-public updates.