Flaws are hit before you can patch.
The average time to exploit a critical vulnerability dropped from 4.76 days to one or two days.
FortiGuard Labs, 2026 Global Threat Landscape ReportAttribytee is the evidence layer for AI-agent attacks. We rebuild what the agent did, seal it in a tamper-evident certificate, and give insurers the proof they need to pay the claim.
| ATB-0142 | Bank · Doha | Agent intrusion | Model family: high confidence | Sealed |
| ATB-0139 | Insurer · Riyadh | Data exfiltration | Toolkit match in registry | Reconstructing |
| ATB-0137 | Retail · Dubai | Credential theft | Collecting evidence | Ingesting |
The average time to exploit a critical vulnerability dropped from 4.76 days to one or two days.
FortiGuard Labs, 2026 Global Threat Landscape Report7,831 organisations were hit, up from about 1,600. Automation is doing the heavy lifting.
FortiGuard Labs, 2026 Global Threat Landscape ReportInsurers are carving AI-driven losses out of cyber policies. When cover is in doubt, the evidence decides.
Delinea survey, via FinTech GlobalYour security tools catch the attack and hand the incident to Attribytee.
Every log, file and trace is stored write-once and fingerprinted, so nothing can be swapped later.
The attack is rebuilt minute by minute, and the AI model family behind it is named with a confidence level.
The case closes as a signed certificate your insurer can verify on its own, and the claim moves.
Global cyber insurance premiums in 2025, forecast to reach $30–50B by 2030.
Gallagher Re, via Business Insurance (Jan 2026)GCC cybersecurity market in 2026, growing to $9.3B by 2034.
IMARC GroupOf companies already have AI exclusions in their cyber cover. Every disputed claim needs evidence.
Delinea, via FinTech GlobalEarly access for insurers, response firms and banks in Qatar, Saudi Arabia and the UAE. Claims data stays in-country.
Attribytee starts where detection ends. Your security tools catch the attack; we turn what happened into a certificate an insurer, adjuster or regulator can check for themselves.
| ATB-0142 | Bank · Doha | Agent intrusion | Model family: high confidence | Sealed |
| ATB-0139 | Insurer · Riyadh | Data exfiltration | Toolkit match in registry | Reconstructing |
| ATB-0137 | Retail · Dubai | Credential theft | Collecting evidence | Ingesting |
Create a case, upload evidence or stream events by webhook. Every file is stored write-once and addressed by its SHA-256 digest, so nothing can be swapped later.
Events from different sources are normalised into one timeline. Verified facts, source observations and inferred steps stay clearly separated, and partial timelines carry a completeness score.
The case closes as a signed PDF and JSON certificate. Anyone can verify it later, online or with a standalone tool, without trusting us to be online. Corrections create a new certificate that points to the old one.
Insurer-ready evidence for each AI-agent incident. Graded, signed, portable.
A privacy-preserving registry that checks whether the same hostile agent hit other organisations.
Generic webhook and API, manual upload and reference connectors for the detection tools you already run.
In late October 2026, critical incidents hit nearly every layer of the internet within two days. Several involved AI tools or AI agents directly. This is why evidence now matters as much as defence.
CrowdStrike researchers found threat groups automating intrusions with AI models, including operations against government and healthcare organisations.
Major U.S. banks are detecting third-party AI agents acting in accounts and struggle to tell whether anyone authorised them.
Summarised from public reporting and company statements, 21–23 October 2026, including The Hacker News, Cloudflare, CrowdStrike and Axios coverage.
Time to exploit a critical flaw · FortiGuard Labs 2026
Ransomware victims in a year · FortiGuard Labs 2026
Organisations hit by ransomware · FortiGuard Labs 2026
Companies with AI exclusions in cyber cover · Delinea, via FinTech Global
If you can't answer that, your insurer can't either. That's the gap Attribytee closes.
Attribytee is built by Evon Intelligence with a dedicated engineering team. We started in August 2026 and finished our first two build phases on 2 October 2026.
Requirements passed in Phases 1–2
Backend tests in Phase 2
Live end-to-end scenarios passed
Build phases complete, zero open in-scope gaps
We moved from blocking AI attackers to proving what they did, the evidence layer insurers were missing.
Architecture, evidence model and Gulf data-residency rules defined.
Four-person ownership model and vertical-slice build plan, Qatar-first.
Forensic foundation and ingest pipeline: write-once evidence, provenance, audit trail, analyst console.
Website, launch film and early-access programme for Gulf insurers, response firms and banks.
Sealed certificates in production, then the shared registry and regional scale.
Leads product and engineering at Evon Intelligence.
Leads go-to-market, partnerships and clients.
Delivery, evidence ingest and attack reconstruction.
Architecture, security reviews and technical guidance.
Analyst console, timelines and certificate verification UI.
Security testing, QA and backend modules.
Model fingerprinting uses published research methods, versioned so every result names the algorithm that produced it.
Built on Evon's sealed-report engine: hash-chained reports with evidence classes.
Raw evidence, cases, certificates and signing keys stay in the country they came from.
AI agents now carry out attacks on their own. Insurers are excluding AI losses. Attribytee gives every disputed claim the proof it needs, hosted in the Gulf from day one.
Teams contain AI-agent intrusions, but can't prove what happened or who was behind it. Insurers deny on "unstructured evidence".
We rebuild the attack, fingerprint the AI model family and toolkit, and hash-chain the result into evidence anyone can verify.
42% of companies already carry AI exclusions. Exploits land in 24–48 hours. The proof gap is growing every quarter.
Detection companies stop attacks. Evidence platforms serve insurers from the US. Nobody we found combines AI-agent evidence with in-country hosting for the Gulf.
| Company | Detects AI attacks | Seals incident evidence | Insurer-ready certificate | Cross-victim registry | Gulf in-country hosting |
|---|---|---|---|---|---|
| Detection platforms (e.g. Jesta, CrowdStrike) | ✓ | — | — | — | — |
| Insurance evidence platforms (e.g. Spektrum) | — | ✓ | ✓ | — | — |
| Attribytee | via partners | ✓ | ✓ | ✓ | ✓ |
Based on public product pages, October 2026.
Charged for each certificate issued on a claim or investigation.
For insurers and response firms running cases through the console.
Cross-victim matching as an add-on that gets more valuable with every case.
Phase 1–2 requirements passed
Backend tests
Live end-to-end scenarios
From idea to working pipeline
Write-once evidence, provenance, audit trail and analyst console.
First design partners among Gulf insurers, response firms and banks.
Shared fingerprint registry and regional scale.
To take the Qatar MVP live and sign our first design partners. Deck and demo on request.
We're onboarding our first insurers, incident-response firms and banks in Qatar, Saudi Arabia and the UAE. Investors are welcome too.
Tell us who you are and we'll set up a walkthrough of the analyst console and a sample sealed certificate.
Thanks for reaching out. We'll be in touch shortly to set up a walkthrough of the analyst console and a sample sealed certificate.