Why Trust2?

Trust is fundamentally two sided - whether it’s a human or a machine on one or both ends.

Trust hinges on a delicate balance of reliability, predictability, and understanding, regardless of the entities involved. Crucially, Trust is not a one-way street; it requires mutual commitment and assurance. This holds true whether we're referring to interactions between humans, between machines, or any combination thereof.

In human relationships, trust is the cornerstone of any enduring bond. It is built over time through consistent actions, communication, and a shared understanding of expectations. When trust is breached, it can be challenging to repair, as it breaks the foundation of safety and dependability upon which relationships thrive.

Similarly, in the rapidly evolving landscape of technology, trust is pivotal. As we grow increasingly dependent on machines and algorithms in our daily lives — from smart home devices to self-driving cars — our reliance is deeply intertwined with our level of trust. Do we believe that a machine will act in our best interest? Is the software it operates on secure and free from malicious intent? Answering these questions is crucial, especially as machines begin to learn and adapt independently through artificial intelligence.

Machines too, rely on human inputs to function correctly. “Garbage in, garbage out” as the saying goes: if we lack an understanding of these systems, the likelihood of errors or unintended consequences increases. When we understand how machines operate — when their processes are transparent and their decisions explainable — it fosters trust, and clear and consistent human inputs help machines perform more reliably.

Trust2 is a new kind of company, building and using some of the same artificial intelligence tools and processes to help us assess these new interactions and their impacts on the world around us. We aim to leverage our history building enormous scaled systems while thinking like the attackers attempting to defeat those systems, to understand (and improve upon) this delicate trust balance.

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