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Privacy Enhancing Technologies: ICO draft guidance

The latest draft part of the ICOs guidance on data protection technologies covers Privacy Enhancing Technologies (PETs). This is a useful return to a topic covered in a very early factsheet, informed both by technical developments and a better understanding of how technologies can (and cannot) contribute to data protection. Perhaps the most important message […]

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Thinking about automation: Malware Detection

Sophos have recently released a tool that uses Machine Learning to propose simple rules that can be used to identify malware. The output from YaraML has many potential uses, but here I’m considering it as an example of how automation might help end devices identify hostile files in storage (a use-case described by Sophos) and […]

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Thinking about automation: network debugging

I’m hoping my generic model of a security automat (Levers, Data, Malice, Controls, Signals) will help me think about how tools can contribute to network security and operations. It produces the ideas I’d expect when applied to areas that I already know about, but the acid test is what happens when I use it to […]

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Automation: Two ways

Earlier in the year, Networkshop included a presentation on Juniper’s Mist AI system for managing wifi networks. I was going to look at it – as an application I don’t know – as a test for my model for thinking about network/security automation. That may still happen, but first it has taken me down an […]

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The future of automated incident response

My post about automating incident response prompted a fascinating chat with a long-standing friend-colleague who knows far more about Incident Response technology than I ever did. With many thanks to Aaron Kaplan (AK), here’s a summary of our discussion… Developments in automated defence AK: Using Machine Learning (“AI”) in cyber-defence will be a gradual journey. […]

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Does the AI Act allow automated network defence?

In response to my posts about the relevance of the draft EU AI Act to automated network management one concern was raised: would falling within scope of this law slow down our response to attacks? From the text of the Act, I was pretty sure it wouldn’t, so I’m grateful to Lilian Edwards for the […]

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Thinking about automation

To help me think about automated systems in network and security management, I’ve put what seem to be the key points into a picture. In the middle is my automated network management or security robot: to the left are the systems the robot can observe and control, to the right its human partner and the […]

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Getting a Feel for AI Terrain

Decisions whether or not to use Artificial Intelligence (AI) should involve considering several factors, including the institution’s objectives, purpose and culture, readiness, and issues relating to the particular application. Jisc’s Pathway Towards Responsible, Ethical AI is designed to help you with that detailed investigation and decision-making. But I wondered whether there might be a check […]

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Change: A Feature, not a Bug

Reading the Machine Learning literature, you could get the impression that the aim is to develop a perfect model of the real world. That may be true when you are trying to distinguish between dogs and muffins, but for a lot of applications in education, I suspect that a model that achieved perfection would be […]

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Swaddling AI

I’ve been reading a fascinating paper on “System Safety and Artificial Intelligence”, applying ways of thinking about safety-critical software to Artificial Intelligence (AI). Following is very much my interpretation: I hope it’s accurate but do read the paper as there’s lots more to think about. AI is a world of probabilities, statistics and data. That […]