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Mike Bruchanski, Chief Product Officer at HiddenLayer – Interview Series
- Mike Bruchanski, Chief Product Officer at HiddenLayer, brings extensive experience in product development and engineering, focusing on product strategy and innovation in generative and predictive AI adoption.
- HiddenLayer is a leading AI security provider, safeguarding machine learning models without adding complexity. It aims to protect enterprise AI from various attacks like inference, bypass, extraction, and model theft.
- Bruchanski's interest in solving complex problems led him to HiddenLayer, aligning with his passion for AI innovation and security. His role involves leveraging expertise to protect AI technologies and enable confident deployment.
- Adversarial threats to AI systems include model theft and inversion attacks. To mitigate risks, organizations must embed security throughout the AI lifecycle, focusing on data integrity and model protection.
- HiddenLayer's approach differs from traditional cybersecurity by focusing on securing AI models directly. Its non-invasive solutions are tailored to protect against vulnerabilities unique to generative AI models.
- Organizations face challenges in integrating AI security, such as knowledge gaps, rushed deployment, and balancing security with model performance. HiddenLayer offers tools that seamlessly integrate security into AI workflows.
- HiddenLayer ensures lightweight, non-invasive security for AI models through API-driven solutions that monitor and protect models in real-time across various environments.
- HiddenLayer's Automated Red Teaming streamlines vulnerability testing for AI systems, benefiting industries like finance, healthcare, manufacturing, defense, and critical infrastructure by identifying and addressing vulnerabilities early.
- Fostering a data-driven culture at HiddenLayer leads to outcome-oriented development, data-driven decisions, and holistic thinking, resulting in better security solutions for customers.
- To address AI security concerns, organizations should build secure foundations, start with controlled AI pilots, engage trusted partners, and balance innovation with caution.
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