Cyvers primary-source snapshot
Fetched: 2026-04-28 UTC
1) Homepage positioning
Source: https://cyvers.ai/
Selected excerpts from the official site metadata:
Cyvers | Digital Asset Threat Prevention
Leading the way in blockchain security | Real-time detection and prevention of crypto attacks. Protect your crypto assets with Cyvers.ai.
Additional signals from the source:
- The homepage metadata positions Cyvers around prevention rather than only analytics or after-the-fact incident response
- The emphasis is on blockchain security plus protection of digital-asset operators, not on a single narrow product category
2) Official llms.txt surface
Source: https://cyvers.ai/llms.txt
Selected excerpts from the official site:
Cyvers | Digital Asset Threat Prevention
Pages
Additional signals from the source:
- Cyvers explicitly exposes Products, Solutions, Reports, and Blogs as primary first-party surfaces
- The
llms.txtis especially useful here because the site is heavily JS-rendered and the route map helps recover the real official information architecture
3) Platform framing from the official frontend bundle
Source: https://cyvers.ai/assets/index-DBPUI2qM.js
Selected excerpts from the current official frontend bundle:
One Platform. Complete Coverage.
Replace fragmented financial crime tools with Cyvers’s pre-transaction threat prevention layer, covering security risks, fraud, and compliance.
Additional signals from the source:
- The frontend bundle is currently the clearest way to recover the rendered copy for Products and Solutions pages
- This language strongly suggests Cyvers sees itself as a unified control plane for multiple institutional risk domains, not just a threat feed
4) Product surface
Source: https://cyvers.ai/assets/index-DBPUI2qM.js
Selected excerpts from the current official frontend bundle:
Pre-Transaction Firewall
Simulate every transaction and expose its full onchain impact before a signature is given, stopping threats at the earliest possible moment. Includes a built-in Secure Co-Signer - an independent co-pilot for multisig and MPC wallets with granular policy controls.
Fraud & Scam Prevention
Most tools flag fraud only after funds vanish. Cyvers intercepts it early, connecting fraud signals across onchain and offchain channels before a single dollar moves.
Monitoring & Detection
AI-powered runtime security that continuously monitors smart contracts, wallets, and transaction flows to detect exploits, access control breaches, and cross-chain attacks before full execution.
Compliance & Risk
AML-grade monitoring and regulatory-ready reports, built for financial institutions operating in digital assets.
Additional signals from the source:
- The four-product split makes Cyvers much broader than a simple alerting or wallet-screening tool
- The firewall/co-signer language suggests direct involvement in transaction approval workflows, especially for institutional custody and multisig setups
- The monitoring layer explicitly claims automated response actions such as pausing contracts, blocking transactions, and triggering playbooks
5) Solutions / target customers
Source: https://cyvers.ai/assets/index-DBPUI2qM.js
Selected excerpts from the current official frontend bundle:
Built for Every Institutional Use Case
From crypto-native exchanges to TradFi institutions entering digital assets.
Centralized Exchanges … Protect hot wallets, withdrawal flows, and millions of users from theft and fraud.
Custodians & Wallets … Secure co-signing and access control for institutional custody operations.
Stablecoin Issuers … End-to-end protection for stablecoin lifecycles - from minting and smart contract security to on/off-ramp screening and de-peg prevention.
DeFi & Blockchains … Smart contract monitoring, bridge security, and governance integrity.
Banks & Financial Institutions … Regulatory-grade crypto risk controls for traditional financial institutions and payment providers entering digital assets.
Additional signals from the source:
- The solutions mix shows Cyvers spanning both crypto-native operators and traditional financial institutions
- Stablecoin-issuer coverage is especially notable because it combines technical, fraud, and compliance positioning in one operating surface
6) Reports and threat-intelligence layer
Sources:
- https://cyvers.ai/Reports
- https://cyvers.ai/assets/index-DBPUI2qM.js
- https://media.base44.com/files/public/69cb98cee71fba76278326a9/44bc1bc1c_2025report.pdf
Selected excerpts from the current official frontend bundle:
Annual Trends in Security, Fraud, Scams, Risk Management, and Compliance — 2025
Cyvers’ flagship annual report covering the full Web3 threat landscape: 15.87B in fraud detected, top incidents, regulation developments, and new product solutions for 2026.
Additional signals from the source:
- Cyvers is publishing first-party industry reports, not only product marketing pages
- The annual-report PDF was saved locally as
cyvers-annual-trends-security-fraud-compliance-2025.pdf - The numeric claims above are Cyvers’ own report framing and should be treated as company claims unless independently verified elsewhere
7) Whitepaper status / source of truth
Sources:
- https://cyvers.ai/
- https://cyvers.ai/llms.txt
- https://cyvers.ai/Products
- https://cyvers.ai/Solutions
- https://cyvers.ai/Reports
- https://cyvers.ai/assets/index-DBPUI2qM.js
Notes:
- No canonical standalone Cyvers whitepaper or litepaper surfaced in this pass.
- The strongest current source of truth is the official website plus the current frontend bundle and first-party report PDFs.
- Because the public pages are JS-rendered, preserving the bundle URL used in this pass helps explain where the product/solutions language was recovered from.
Notes
- Cyvers appears best cataloged as digital-asset threat-prevention infrastructure / transaction-security and fraud-prevention control plane / compliance and risk monitoring platform.
- Its most distinctive feature is the combination of pre-signature simulation, secure co-signing, runtime monitoring, fraud interception, and compliance workflows in one institutional product surface.