Mission · Defend on-chain price integrity

We catch price manipulation
before settlement clears.

FusionAI is the AI risk system for digital asset platforms. Our agents read every transaction the moment it lands, recognise the shape of an exploit, and hold the line — sub-second, in your own cloud. No data leaves your perimeter.

Request defense briefSee the systemOnline·4 chains·312 ms p99
Live Detection · WBTC/USDC · 5s window
node-04 · qa-tenant
Spot vs. TWAP — manipulation flagged
$110.74+9.62% · 3-block deviation
$112$106$100TWAPt-5snow
Detection latency312msp99 across 7d
Confidence99.4%cross-feature ensemble
ActionHeld$2.4M routed to review
Recent · 60s
8 events
14:23:21.402WBTC / USDC · oracle deviation 8.4σmanipulation held
14:23:18.115AVAX / USDT · routine swapcleared 18 ms
14:23:15.077ETH / USDC · TWAP shift attemptedmanipulation held
14:23:11.942USDC / DAI · settlement$2.4M trade protected
Today · trades protected$184Macross 6 manipulation events
§ I · Mission Brief

A risk system built on one assumption —
attackers are already inside the feed.

Price-manipulation attacks succeed because traditional defense arrives after settlement. FusionAI inverts the order. The decision lands first.

MissionM.01

Defend on-chain price integrity at the moment it matters.

Manipulation costs digital asset platforms billions in displaced value, broken trust, and post-mortems written under regulator scrutiny. We exist to make that class of attack uneconomic, in real time, on every chain you serve.

VisionV.01

A risk system as fluent as the analyst behind it.

Risk operations should not require thirty engineers and a quarter of lead time. A senior analyst should describe a pattern in English and have it deployed, evaluated, and back-tested before the day is out. That is the standard FusionAI is built to.

TechnologyT.01

A four-layer agentic system, validated end-to-end.

A planner reads attack patterns. A creator writes the rule. A simulator backtests it across twelve months of chain data. A defender enforces it in production at sub-second latency. Each layer is auditable, deterministic, and signed.

§ II · Defense Stack

The four-stage defense path.

Each stage is observable, replayable, and signed. Nothing is a black box your auditor cannot reconstruct.

01

Ingest

Every transaction. Every chain. As it lands.

Twenty-plus chains, CEX and DEX feeds, off-chain price oracles. The agent maps schemas in plain English and stands up the pipeline in minutes. SQL and Spark are no longer in your way.

02

Recognise

Pattern, not just price.

Cross-feature ensemble: spot vs. TWAP deviation, depth-adjusted slippage, oracle freshness, attacker-cluster lineage. A flash-loan-driven pump, a low-liquidity bend, a cross-pair correlation break — the system sees the shape, not just the spike.

03

Hold

Intercept before settlement.

Sub-second decision. Hold, route to review, cap exposure, or trigger enhanced KYC. Configurable per scenario, signed against your audit log, reversible by your operator on duty.

04

Learn

Evaluate. Tune. Backtest.

Precision and recall measured continuously. Every rule replayed against twelve months of chain history before it ships. Every false-positive routed back into the model. The system gets better the longer you run it.

§ III · Threat Catalogue

Price manipulation is patient.
The detection cannot be.

On-chain losses · 2022 – H1 2025
$16.1B
of which $5.13B in H1 2025 alone

Across every chain and every category, the bulk of public losses come from a small set of repeating playbooks. Price-manipulation variants — TWAP shifts, flash-loan bends, oracle deviations — sit at the top of the list and show up against the same defensive blind spots, year after year.

The patterns repeat. The shape of an attack rarely changes. The time you have to detect it should not be measured in minutes.

Lead categoryPRX-01

Oracle & TWAP price manipulation

Critical · 0–500 ms response

A flash-loan or low-liquidity pair attack bends the reference price for a single block. The attacker drains the dependent vault, repays the loan, and exits with the spread. We catch the deviation against a depth-weighted reference and the trader-cluster lineage in the same window — long before settlement clears.

FLA-02Critical · pool-depth aware

Flash-loan attacks

Uncollateralised loans used to bend an oracle, drain a pool, repay, exit — all inside one block. Caught by the relationship between borrowed size, pool depth, and the protocol that depends on the price.

BRD-03High · signature-aware

Bridge & cross-chain replay

Forged proofs, validator collusion, nonce replay across chains. Caught by signature provenance and cross-chain ledger reconciliation.

CTR-04High · code-pattern fingerprint

Smart-contract exploits

Reentrancy, broken access control, delegatecall injection, unprotected selfdestruct. Caught by call-graph fingerprints learned from disclosed exploits.

RUG-05Medium · liquidity-shape

Rug pulls & hidden mint

Sudden ≥80% liquidity drain, hidden mint paths, fake renouncements that route through proxy upgrades.

§ IV · System

The agentic stack, end-to-end.

A four-layer system you can audit, not a single black box. Every step is named, traced, and reproducible.

fusion · agentic-pipeline
v2 · service layer
Input01

Plain English in. Validated execution out.

A senior analyst describes a pattern. The intent classifier routes the message to the right specialist. No prompt engineering, no DSL knowledge required from the operator.

Reason02

Multi-agent reasoning over your live state.

Planner, Creator, Evaluator, Query — four specialists, each with a defined contract. The planner produces a structured plan you review before anything writes. The creator produces signed DSL for fast paths. The evaluator answers questions with runtime data. The query agent reads.

Validate03

Three checks before a rule reaches production.

DSL is generated, validated by structured-error rules, and bounded-repaired up to three attempts. Failed validation surfaces specific, actionable errors. No silent fallbacks. No partial deployments.

Backtest04

Twelve months of history, before you commit.

Every rule is replayed against historical chain data and synthetic attack scenarios. Precision, recall, and false-positive rate are reported alongside the diff before the rule ships.

Deploy05

Engine writes are signed, audited, reversible.

Rules deploy through a single facade with a frozen layered architecture. Every write is recorded against an append-only log. Rollback is one command. Operator on duty has the final say.

Agent roster · on duty

Planner

on duty

Reads attack patterns. Writes execution plans.

Translates an analyst's intent into an ordered sequence of create / update / verify steps. Refuses ambiguous plans rather than guessing.

Creator

on duty

Single-resource fast path.

When the change is unambiguous, the creator produces a validated DSL definition and ships it directly. Used for routine edits, threshold changes, and recurring setup.

Evaluator

on duty

Holds runtime data.

Answers questions with evidence: what fired, when, on which feature, against which rule, and how often. The evaluator is the operator's window into production behaviour.

Query

on duty

The first agent most users meet.

Read-only routing across data sources, features, rules, and overview. Fast, deterministic, never writes.

PropertiesDeterministicAuditableSelf-validatingReversible
§ V · By the numbers

What “in production” actually looks like.

detection latency · p99
312ms
precision · 7-day rolling
99.4%
trades protected · today
$184M
agent on duty
24 / 7
Centralised exchanges

The custody side

  • Withdrawal fraud held sub-second, before the wire leaves treasury.
  • AML / KYT reporting your finance team can read on day one.
  • Behavioural ATO detection across sessions, devices, and geographies.
  • Cross-exchange deposit / withdrawal correlation, by default.
Decentralised exchanges

The contract side

  • Flash-loan attacks broken with circuit-breakers, not post-mortems.
  • Pool-level manipulation watched continuously, per pair.
  • Smart-contract risk scored before user funds move.
  • MEV-adjacent activity surfaced for review without false alarms.
§ VI · Trust

The data stays
on your side
of the door.

We do not ask you to trust us with your ledger. We make sure you never have to. The platform ships to your infrastructure, runs behind your firewall, and signs every action against keys you control.

SOC 2 Type II · in progressGDPR · readyISO 27001 · planned
  1. T.01

    Your cloud. Your keys. Your perimeter.

    FusionAI runs inside your AWS or Alibaba Cloud account, in a VPC you own. The platform never operates a copy of your data. We do not read your traffic. We do not hold your secrets.

  2. T.02

    Tenant isolation, by construction.

    Logical and physical isolation per tenant. No shared storage, no cross-account inference, no shadow indexes. Independently audited, reproducible from infrastructure-as-code.

  3. T.03

    Encryption that bottoms out in your KMS.

    TLS 1.3 in transit. AES-256 at rest. Keys live in your existing KMS — AWS KMS, Vault, your own HSM. We hold none of them. The system fails closed if your KMS is unavailable.

  4. T.04

    Append-only audit, regulator-ready.

    Every rule change, every data access, every action is recorded against a signed, append-only log. AML, KYT, and MiCA reporting build off the same record. Your auditor reads it directly.

  5. T.05

    Access by separation of duties.

    Granular RBAC with least-privilege defaults. SSO / SAML, MFA enforcement. Author, approver, operator are three different roles by default. The model and the runtime cannot self-modify.

00:00:00.312p99 detection latency
120,000 / minevent throughput · per tenant
12 monthsreplay history
0data egress to FusionAI
§ VII · Contact

Tell us what
you are watching.

Early access is open to a small group of exchanges and protocols this quarter. A short note from your team is enough — a person reads every reply.

hello@fusionai.io · response within 24 hours

· TLS 1.3 · payload signed· request ID generated client-side

0 / 500

Encrypted in transit