
Elizabeth Wallace
Nashville based writer. I connect tech with the human touch. Helping #datascience #AI #EdTech companies tell their stories.
Articles
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2 weeks ago |
rtinsights.com. | Elizabeth Wallace
Introducing a new benchmark for AI security, the CalypsoAI Security Leaderboard evaluates the cybersecurity of leading language models using advanced simulation tools and a comprehensive new metric, CASI. The use of AI and large language models (LLMs) introduces several critical security concerns, with data privacy and prompt injection attacks among the most pressing.
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2 weeks ago |
rtinsights.com | Elizabeth Wallace
Introducing a new benchmark for AI security, the CalypsoAI Security Leaderboard evaluates the cybersecurity of leading language models using advanced simulation tools and a comprehensive new metric, CASI. The use of AI and large language models (LLMs) introduces several critical security concerns, with data privacy and prompt injection attacks among the most pressing.
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3 weeks ago |
clouddatainsights.com | Elizabeth Wallace
Data breaches are, unfortunately, commonplace, and the consequences are severe. Companies must secure sensitive data at almost any cost to avoid the long-term repercussions of leaks. We know this. One option, confidential computing, may help companies protect data assets in a new way. Unlike traditional security measures that primarily shield data at rest and in transit, confidential computing safeguards data during processing. This addresses a critical vulnerability in data security frameworks.
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1 month ago |
rtinsights.com. | Elizabeth Wallace
The development of L-MAP is a step forward in making automated decision-making more reliable and efficient in complex scenarios. The tool could greatly benefit industries that rely on automation, such as self-driving cars and advanced manufacturing, where decisions must be made quickly and accurately. Navigating complex environments where decisions must be made quickly and accurately poses a big challenge, especially when actions can have multiple outcomes.
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1 month ago |
rtinsights.com | Elizabeth Wallace
The development of L-MAP is a step forward in making automated decision-making more reliable and efficient in complex scenarios. The tool could greatly benefit industries that rely on automation, such as self-driving cars and advanced manufacturing, where decisions must be made quickly and accurately. Navigating complex environments where decisions must be made quickly and accurately poses a big challenge, especially when actions can have multiple outcomes.
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