Insights

11.03.2025

AI Assurance: Lessons from Safety-Critical Engineering

Can AI earn the trust we place in nuclear power, aviation, and critical infrastructure? In high-risk industries, trust isn’t left to chance. Every system is rigorously tested, every failure anticipated, every risk mitigated. Our whitepaper explores what AI can learn from safety-critical engineering. What if AI assurance followed a similar disciplined approach? What would it take to build AI systems that are not just functional, but fundamentally trustworthy? Inside, we unpack: - Lessons from safety-critical sectors: how they manage risk and ensure reliability - The backbone of trust: why standards and baselines matter - From lab to life: what it takes to move AI from proof-of-concept to operational deployment - The human factor: why testing and oversight are non-negotiable

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28.06.2024

LLM Security: Key Considerations for Enterprise Adoption

Authored by Resaro and the School of Computer Science and Engineering at Nanyang Technological University (NTU), this paper delves into the intricate world of LLMs, uncovering their capabilities and addressing lurking security risks. From backdoor attacks to model-jailbreaking, we offer actionable strategies to CISOs and their technology teams to practically move forward with the adoption of LLMs in the enterprise environment. Please fill out this form to get your hands on a copy.

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