Grasshopper Bank A.I CyberSecurity Scoring
Grasshopper Bank
Company Information
Website:https://www.grasshopper.bank
Employees number:173
Number of followers:28,419
NAICS:52211
Industry Type:Banking
Homepage:grasshopper.bank
Grasshopper Bank Risk Score (AI oriented)
Between 700 and 749
Grasshopper BankBanking
Updated:
30/03/2026
30/03/2026
737/1000
Moderate
Ba
Grasshopper Bank Global Score (TPRM)
xxxx
Grasshopper BankBanking
Score locked

Grasshopper BankModerate
Current Score
737Ba (MODERATE)
01000
1 incidents
-20 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
JUNE 2026
739
MAY 2026
738
APRIL 2026
738
MARCH 2026
737
FEBRUARY 2026
737
JANUARY 2026
736
DECEMBER 2025
735
NOVEMBER 2025
735
OCTOBER 2025
754
Cyber Attack
28 Oct 2025 • Grasshopper Bank
Grasshopper Bank
AI-Driven Cybersecurity Risks and Fraud in Banking
734
CRITICAL-20
GRA1435414102825
The article highlights that Grasshopper Bank, while leveraging AI for personalized customer service and streamlined account-opening processes, faces significant risks from malicious actors exploiting AI for phishing attacks, identity theft, and fraud. The bank’s BSA (Bank Secrecy Act) manager explicitly warns that bad actors manipulate AI to compromise customer data, potentially leading to unauthorized access to financial records, stolen credentials, or fraudulent transactions. Though the bank employs countermeasures, the systemic reliance on AI-driven platforms introduces vulnerabilities where cyberattacks could bypass traditional defenses, exposing sensitive customer information. The article underscores that such breaches—if successful—could result in large-scale financial fraud, reputational damage, or regulatory penalties, particularly if customer data (e.g., account details, transaction histories) is exfiltrated or misused. The bank’s proactive stance suggests awareness of the threat, but the inherent risks of AI-driven financial systems remain a critical concern, especially in scenarios where deepfakes or AI-generated scams evade detection, leading to direct financial losses for customers and operational disruptions for the institution.
INCIDENT DETAILS -
TYPE
MOTIVATION
IMPACT
DATA BREACH
REFERENCES
SEPTEMBER 2025
754
AUGUST 2025
754
JULY 2025
754
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