# Learning from Near Misses

DevFeed: [Learning from Near Misses](<https://devfeed.tech/articles/learning-from-near-misses-36864.md>)

Original publisher: [Read original article](<https://shostack.org/blog/learning-from-near-misses/>)

Author: Adam

Published: 2017-12-04T00:00:00Z

Content type: opinion

Language: en

Sources: [Shostack & Friends Blog](<https://devfeed.tech/sources/shostack-friends-blog.md>)

Topics: [Learning](<https://devfeed.tech/topics/learning.md>), [Cybersecurity](<https://devfeed.tech/topics/cybersecurity.md>), [Threat Research](<https://devfeed.tech/topics/threat-research.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [.NET Conf](<https://devfeed.tech/topics/net-conf.md>)

Tags: [aviation](<https://devfeed.tech/tags/aviation.md>), [blog-post](<https://devfeed.tech/tags/blog-post.md>), [cyber-attacks](<https://devfeed.tech/tags/cyber-attacks.md>), [cybersecurity](<https://devfeed.tech/tags/cybersecurity.md>), [data](<https://devfeed.tech/tags/data.md>), [learning](<https://devfeed.tech/tags/learning.md>), [reporting](<https://devfeed.tech/tags/reporting.md>), [research](<https://devfeed.tech/tags/research.md>)

## AI overview

The article argues that cybersecurity can improve by collecting and studying data from incidents and near misses, not only major breaches. It discusses voluntary reporting, incentives, and lessons from aviation safety programs as possible ways to build useful aggregated data for research.

## Source excerpt

[no description provided]