Investment Management
Financial Services

Digital fraud cut by 25%.
Compliance and trust, secured.

AI-driven fraud detection and identity verification built directly into multi-asset trading systems, catching risk in real time without slowing the trade.

25% cut in
digital fraud
Real-time monitoring of
trading activity
Multi-asset coverage across
derivatives, FX, swaps
Automated fraud &
ID verification

Client

Natixis, a global investment management firm trading across derivatives, FX, and swaps.

Goal

To strengthen fraud prevention and identity protection frameworks through advanced digital strategies, securing multi-asset trading while maintaining regulatory compliance.

Fraud risk was growing faster than the old systems could catch it.

Natixis trades across derivatives, FX, and swaps, asset classes where identity fraud and account takeover carry outsized financial risk. Digital trading volumes were growing faster than the firm’s fraud detection could keep pace, and existing identity verification wasn’t built for the scale or sophistication of the threats coming through it.

Any new fraud prevention technology had to slot into infrastructure already running live trades, without breaking the regulatory compliance the firm operates under. Speed, integration, and compliance all had to hold at once, which ruled out a simple bolt-on fix.

Three constraints were non-negotiable:

  • Fraud risk growing across derivatives, FX, and swaps trading
  • New tools had to integrate with live trading infrastructure
  • Every change had to satisfy financial services compliance

Predictive algorithms built into the trading systems themselves.

Head of AI advised Natixis on adopting AI-powered fraud detection and identity management, then helped embed it directly into the firm’s trading systems rather than running it as a separate check layered on top.

Fraud detection built into the trade itself, not bolted on as a compliance afterthought.

Advanced analytics now monitor trading activity continuously, flagging suspicious behaviour as it happens. Predictive algorithms were integrated into the trading systems themselves to sharpen detection accuracy, while client and investor identity verification was streamlined to cut friction without cutting security.

The outcome is a fraud prevention framework built specifically for multi-asset trading, covering derivatives, FX, and swaps, and aligned from the outset with financial services regulatory standards rather than retrofitted to meet them.

A quarter less fraud, and a framework built to scale.

25% Digital fraud reduced through AI-driven detection and identity verification protocols.
Automated Fraud detection and verification processes automated, cutting manual effort and generating measurable cost savings.
Compliant Fraud prevention and identity management aligned with financial regulations across multi-asset trading.
Trusted Client data security strengthened, elevating Natixis’ reputation as a secure, innovative investment management firm.

The 25% cut in digital fraud is the headline number, but the more durable win is structural: Natixis now runs a fraud prevention and identity verification framework built for multi-asset trading, aligned with its regulators, and scalable as risk management needs grow.

* Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.

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*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.