Page 257 - Cyber Defense eMagazine August 2024

Securing AI Models - Risk and Best Practices

By Arun Mamgai, Cybersecurity and Data Science Specialist

Generative AI (Artificial Intelligence) has turned out to be a game changer after the introduction of
ChatGPT, DALL-E, Bard, Gemini, GitHub Copilot etc. in 2022 and 2023 [1]. The majority of organizations
are trying to figure out their AI strategy, but the LLM and its pipeline security, responsibility, and ethics
can't be ignored. Artificial Intelligence has come a long way since its inception and now encompasses a
broad spectrum of capabilities, ranging from natural language processing and computer vision to
decision-making and problem-solving. It has become a powerful tool for user experience, business
process development, and delivering a personalized solution. It's important that effective risk
management strategies are implemented and evolved along with AI based solutions.

A successful AI deployment requires 5 critical stages

1. Data Collection: The process of collecting and gathering raw data from multiple sources (this is
done by integrating data sources with the target).

Cyber Defense eMagazine – August 2024 Edition 257
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