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Technological Services

Building Trust on a Foundation of Code

Building reliable, ethical, and responsible AI systems requires a comprehensive approach. PercepAI's Trustworthy AI Technical Services empower you to navigate every step of the AI lifecycle, ensuring your AI solutions are not only powerful but also trustworthy. 

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Neurotechnology

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Deep Expertise

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Technology Agnostic Approach

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Future-Proofed Approach

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Tailored Solutions

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End-to-End Support

Our Technical Services Include

Threat and Risk Assessment

Identify potential risks associated with your existing or planned AI systems, including but not limiting to bias, fairness, security vulnerabilities, and privacy concerns. 

Algorithm Review and Selection

We evaluate algorithms against key trustworthy principles and identify potential risks and biases. We then advise on the selection of algorithms best suited for your specific task and data set, considering the varied risk implications

Vulnerability Assessments

We simulate real-world cyberattacks to uncover exploitable vulnerabilities in your AI systems. Our experts attempt to gain unauthorized access, manipulate data, or disrupt the operation of your AI system.

Security and Privacy Engineering

We implement robust security and privacy measures to protect your AI systems against cyberattacks and unauthorized access. Our strategies, include but not limiting to data cleansing, algorithm adjustments, and fairness testing.

Tool Selection and Integration

We help you identify and integrate trust tools and techniques into your AI systems, enabling them to align with your business policies while meeting the trust standards of its users.

Incident Response Management

We will help you identify and implement specialized tools and techniques to continuously monitor AI systems for suspicious activity or potential security breaches, detect a potential incident and investigate the root cause, and develop and implement a tailored containment strategy to isolate the incident and prevent further damage or exploitation.

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