About €100 million was missing after a cyberattack at French lender Crédit Mutuel Arkéa, Reuters reported where attackers used one of the bank’s own accounts to make fraudulent transfers.

Arkéa paused some transactions and said nearly all operations had resumed after checks and tighter safeguards, according to its 4 November 2026 update.

Once a bank brings an AI agent back online to help with fraud reviews, its first case file could look much like the ones analysts saw before the attack. Would the analyst reviewing it spot a missed transaction check?

A backup might contain an older copy of the model, while the script for preparing its data was updated later.

The team can recover both pieces and still have to work out whether they ever ran together.

Commvault calls that missing history the context gap in its June 2026 report on AI agent recovery, The AI Resilience Blueprint.

Two agents might put the file together, one pulling the transaction history and account notes while the other writes the summary. An altered note can make it through both agents and turn up as evidence.

Agents that remember earlier tasks may carry the detail into later cases. With write access, they could save it in a system other teams use.

Just 17% of surveyed organisations continuously monitored exchanges between agents, while 38% monitored AI traffic end to end, figures from Akto’s 2025 State of Agentic AI Security survey.

Seeing the handoff helps a bank check whether each agent stayed within the rules it was given.

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