Sun.Jan 14, 2018

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The 'Doublespeak' of Responsible Encryption

WIRED Threat Level

It's a new name for an old argument: that public agencies fighting crime and terrorism must have access to our private communications—for our own good.

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How to select the right Qualified Security Assessor

IT Governance

Today’s Payment Card Industry Data Security Standard (PCI DSS) is one of the most prescriptive models for strengthening security through compliance. The Standard helps organisations unearth common weaknesses in information security practices and define a minimum level of security for protecting cardholder data. But achieving and validating compliance with the Standard can require significant investment and effort that distracts internal resources.

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Understanding eDiscovery in Criminal Cases: eDiscovery Best Practices

eDiscovery Daily

Editor’s Note: Tom O’Connor is a nationally known consultant, speaker, and writer in the field of computerized litigation support systems. He has also been a great addition to our webinar program, participating with me on several recent webinars, including our webinar last Thursday ( Important eDiscovery Case Law Decisions of 2017 and Their Impact on 2018 ), which was great.

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Streamlining Data Breach Disclosures: A Step-by-Step Process

Troy Hunt

I don't know how many data breaches I'm sitting on that I'm yet to process. 100? 200? It's hard to tell because often I'm sent collections of multiple incidents in a single archive, often there's junk in there and often there's redundancy across those collections. All I really know is that there's hundreds of gigabytes spread across thousands of files.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.