AI can do a lot (except write blog posts that don't put you to sleep) and it's generally agreed that it would be a bad thing if it were biased. It seems that the volume of material on the need to test for bias vastly outweighs the material on how to actually do it, so here are the results of an evening I spent going down a very interesting rabbit hole.

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Go is an opensource programming language that is lean, mean and built for concurrency. Large numbers of hacking tools are built in this language and it is becoming the default for automation tools as well. Here is the process to get it running in Kali Linux.

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Kubernetes is getting popular fast, and for good reason. It optimizes the delivery of container workloads, allows for automatic failover, kills misbehaving pods. Here are some of the tools to get started.

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Bug bounties use a dramatically more open scope of targets to find security flaws than your average pentest. And while we might still lean on pentests for compliance purposes, there is a lot of merit to hacking yourself the bug bounty way.

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Go is an opensource programming language that is lean, mean and built for concurrency. Large numbers of hacking tools are built in this language and it is becoming the default for automation tools as well. Here is the process to get it running in Kali Linux.

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If you've heard of Privacy Engineering, you know it is rising rapidly in relevance, but in my opinion, it's not truly defined yet. It's 2020, the CCPA is in effect, and with surveillance, IoT, drones, facial and other biometric recognition, cryptocurrencies and increased regulation, it's going to be a pivotal decade for tech. Early last year, the concept of Privacy Engineering started gathering traction, entering the Gartner glossary, and being pushed by industry groups like the IAPP. It's an interesting area to understand, because it's a problem not yet fully solved, and relevant to us all.

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