In today's world it has become common to hear people talk about trading privacy for security. This talk will present work that shows that with the right technology, at least in surveillance and biometrics, we can improve security while simultaneously improving privacy. The first part of the talk will addressees security and privacy issues in video surveillance and two different ways our research has improve both. The more interesting of the two is a technique that does in place public-key based encryption of sensitive data in such a way that information useful for security is largely preserved while maintain total anonymity, and then provides for a gradual release of information when warranted. The talk will then switch to biometrics and discuss some background on the fundamental issues of including the issues of approximate matching faced by all biometric systems and some of their implications. This will be followed by a brief review of the privacy/security issues with biometric, explain why standard encryption does not solve the problems and quickly review the state of the art in privacy preserving biometrics. It will then present the key ideas behind our Biotopes(tm), and present performance results where existing face and fingerprint algorithms were extended with Biotopes to improve security/privacy. We discuss why the Biotopes and associated transforms, actually improved the accuracy of the underlying algorithms.