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Calypso AI Security Solutions for Financial Services

Are your AI systems secure and compliant?

Financial services companies have embraced AI for personalization, productivity, customer success, and fraud detection, but secure implementation has proven elusive.

Authentication + Fraud Detection

Chatbots

Credit Risk

Maximizing Alpha

Finding New Investment Opportunities

  • Authentication + Fraud Detection

  • Chatbots

  • Credit Risk

  • Maximizing Alpha

  • Finding New Investment Opportunities

Calypso helps financial services companies securely implement AI.

Secure Your AI

As financial firms accelerate AI deployment, hackers, fraudsters, and others are constantly trying to find ways to manipulate your AI. With Calypso, you can detect and defend against adversarial attacks on your AI systems.

Regulatory Compliance & Risk Assessment

AI systems are highly efficient at determining creditworthiness and loan qualifications, but they’re only as good as they are unbiased. The Calypso team works with you to identify areas of bias, helps correct them, and establishes best practices for future objectivity.

Bias Detection

AI systems are highly efficient at determining creditworthiness and loan qualifications, but they’re only as good as they are unbiased. The Calypso team works with you to identify areas of bias, helps correct them, and establishes best practices for future objectivity.

Simplified Reporting

AI in a black box can sink your financial institution. That’s why Calypso builds intuitive and highly legible reporting dashboards for all stakeholders.

Can your organization keep up with rapidly advancing threats to your AI?

  • Voice-based assistants like Siri or Alexa can understand adversarial commands that humans don’t. You can use these commands to hack into user accounts. 

  • MasterPrints (real or synthetic fingerprints that can match with a large number of real fingerprints) show vulnerabilities of fingerprint recognition. With GANs, you can create significantly more effective ‘DeepMasterPrints’ that further undermine fingerprints security. 

  • Banks use ML to passively detect fraud by analyzing customer textual chat interactions. These chats can be formulated as adversarial examples which change the ML’s detected sentiment or gender of the interaction – enabling fraudsters to bypass this level of fraud detection.

Do you trust your AI?

Get in touch to learn how we can identify your systems’ vulnerabilities and keep them secure.