[logseq-plugin-git:commit] 2025-06-05T08:36:10.944Z

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file:: [Proposal-SEP-211043207_(1)_1718004950615_0.pdf](../assets/Proposal-SEP-211043207_(1)_1718004950615_0.pdf)
file-path:: ../assets/Proposal-SEP-211043207_(1)_1718004950615_0.pdf
- security vulnerabilities into the market
ls-type:: annotation
hl-page:: 2
hl-color:: green
id:: 6666acea-18a4-4585-9bb6-3833dda1f025
- security into the entire DevOps process
ls-type:: annotation
hl-page:: 2
hl-color:: green
id:: 6666acf0-d5a7-4c5a-8870-2579429b6cba
- security tools and practices that help developers and operations teams to perform their own security analysis, discover security issues and improve the way they code and operate the software
ls-type:: annotation
hl-page:: 2
hl-color:: green
id:: 6666acfb-f0f5-4efd-8449-bf021a34a045
- I-augmented automation promises vast and long-term economic value added in ultra-large system development.
ls-type:: annotation
hl-page:: 2
hl-color:: green
id:: 6666ad97-46fd-4e0d-813f-37314d142791
- For real-time threat detection and response, WP3 uses ML algorithms and threat intelligence. The results inform threat modelling, creating a feedback loop. Tools automate these processes, enhancing security operations' speed and efficiency. Threat intelligence in WP3 collects, analyses, and applies threat information proactively. Data analysis and ML enable real-time alerts, trend analysis, and predictive modelling
ls-type:: annotation
hl-page:: 388
hl-color:: green
id:: 6666af35-1d67-41b0-8204-5737680ef34b