The idea of a personal “digital defender” in the form of an AI agent is not very widely talked about on the web. Alex “Sandy” Pentland describes that your AI agent addresses all of that other agent activity that’s aimed at you, and intervenes on your behalf. In a way, it’s like having a public defender in court. There’s a legal effort against you, so you need your own advocacy to represent you on your side. It’s also sort of like consumer reporting – Pentland mentioned how Consumer Reports has been doing this kind of work for 80 years with polls and other tools. Another sort of similar idea is cybersecurity agents who are created by a company called Twine that are intended to protect people from cyberattacks. Essentially, Pentland argued, a bad actor can easily throw a system out of balance by being “just a little edgy,” by making small changes that lead to a domino effect that can be detrimental. He used the example of a traffic jam, which starts off as just one car in dense traffic changing its behavior. This type of game theory, he asserted, has to be factored into how we create our digital defense agent networks. With all of this in mind, it’s probably a good idea to think about building those digital defense agents. They might not be perfect right away, but they might be the defense that we need against an emerging army of hackers utilizing some of the most potent technologies we’ve ever seen. The idea also feeds back into the whole debate about open source and closed source models, and when tools should be published for all the world to use. It’s imperative to keep a lid on the types of bad actors that could otherwise jeopardize systems. In the cryptocurrency days, we had the notion of a 51% attack, where as soon as somebody held more than half of a given blockchain item, they had full control, with no exceptions.