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Security for AI

Finance

Eliminate Attacks on GenAI

The Challenges

Accelerate AI Adoption

The finance industry continues to integrate AI technologies, inevitably causing multifaceted security challenges to arise. Safeguarding sensitive financial data from adversarial AI attacks and unauthorized use is crucial as cyber threats become more sophisticated. Additionally, the growing complexity of generative AI use cases and the risk of AI model theft imposes significant demands on resources, demanding  more advanced and resilient defenses. Balancing effective security for AI  with enterprise efficacy also adds to operational complexities, requiring constant refinement of AI systems. Addressing these challenges is essential to allow AI adoption in the financial sector.

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Data Privacy and Protection

Ensuring compliance with stringent data privacy regulations while handling vast amounts of sensitive financial data

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Model Security and Integrity

Adversarial attacks and model theft endanger the accuracy and intellectual property of AI models in financial applications

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Prompt Injection Attack Prevention

Adversaries’ tactics continuously  become more sophisticated, necessitating real-time detection and prevention

Our Approach

Secure, Defend & Automate

HiddenLayer’s AISec Platform is an AI Protection Suite that ensures the integrity of your models throughout the AIOps pipeline. By ensuring the security of pre-trained models, detecting malicious injections, and monitoring algorithm inputs and outputs for potential threats – The AISec Platform delivers an automated and scalable defense tailored for artificial intelligence in the financial sector.

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Regulatory Compliance

Advanced protection for AI and ML infrastructure, mitigating the risk of data exposure and manipulation by malicious actors.

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Defend Against

Protect against common adversarial techniques including model extraction/theft, tampering, data poisoning/model injection, and inference attacks.

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Real-time Monitoring

Real-time, scalable monitoring for all model types, conducted without accessing your data or models, using vectorized inputs and outputs for detections.

As financial institutions embrace AI, securing your AI assets is vital

Learn More

Key Capabilities

  • Malware Analysis — Scans AI Models for embedded malicious code that could serve as an infection vector & launchpad for malware.
  • Model Integrity — Analysis of the AI Model’s layers, components & tensors to detect tampering or corruption.
  • Protects against Gen AI Prompt injection — Protect LLMs from its inputs or outputs being deliberately changed.
  • Protects against Model Theft — Stop reconnaissance attempts through inference attacks, which could result in intellectual property being stolen.
  • Excessive Agency —  Ensure GenAI outputs do not expose backend systems, risking privilege escalation or remote code execution.

Recent News

  • Securing Your AI: A Step-by-Step Guide for CISOs
  • Financial Case Study
  • A Guide to AI Red Teaming
  • From National Security to Building Trust: The Current State of Securing AI

Why HiddenLayer

The Ultimate Security for AI Platform

HiddenLayer, a Gartner recognized AI Application Security company, is a provider of security solutions for artificial intelligence algorithms, models & the data that power them. With a first-of-its-kind, non-invasive software approach to observing & securing AI, HiddenLayer is helping to protect the world’s most valuable technologies.

The Latest From HiddenLayer

Read more in our full research section or sign up for our occasional email newsletter and we’ll make sure you’re first in the know.

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How can we secure your AI?

Start by requesting your demo and let’s discuss protecting your unique AI advantage.

Book a demo Contact Us

HiddenLayer, a Gartner recognized Cool Vendor for AI Security, is the leading provider of Security for AI. Its security platform helps enterprises safeguard the machine learning models behind their most important products. HiddenLayer is the only company to offer turnkey security for AI that does not add unnecessary complexity to models and does not require access to raw data and algorithms. Founded by a team with deep roots in security and ML, HiddenLayer aims to protect enterprise’s AI from inference, bypass, extraction attacks, and model theft. The company is backed by a group of strategic investors, including M12, Microsoft’s Venture Fund, Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.

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