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Measure business outcomes, not lines of code There are various measurement points throughout the software development lifecycle (SDLC), from idea generation to production stages, that should be monitored to ensure a smooth flow. “If One such framework is SPACE.
In the software development life cycle (SDLC), 85% of leaking secrets come from developers sharing information on public personal accounts. This goes to show just how important it is to have the proper training, procedures, and tools in place when it comes to combatting secret sprawl and leaks in your SDLC.
First, of course, is the now-fixed bug. Dave Bittner: [00:06:20] This insertion of the Sec into DevOps - what's been the practical implications of that? So I think that's really the primary impact of putting the sec in is you get higher quality software in addition to, of course, more secure.
First, of course, is the now-fixed bug. Dave Bittner: [00:06:20] This insertion of the Sec into DevOps - what's been the practical implications of that? So I think that's really the primary impact of putting the sec in is you get higher quality software in addition to, of course, more secure.
First, of course, is the now-fixed bug. Dave Bittner: [00:06:20] This insertion of the Sec into DevOps - what's been the practical implications of that? So I think that's really the primary impact of putting the sec in is you get higher quality software in addition to, of course, more secure.
When guided fuzzing is coupled with a new research area known as symbolic execution, this accepted technique takes on automation and even autonomous characteristics that now allow it to fit seamlessly into DevOps environments to boost -- not hamper -- developer productivity.
When guided fuzzing is coupled with a new research area known as symbolic execution, this accepted technique takes on automation and even autonomous characteristics that now allow it to fit seamlessly into DevOps environments to boost -- not hamper -- developer productivity.
When guided fuzzing is coupled with a new research area known as symbolic execution, this accepted technique takes on automation and even autonomous characteristics that now allow it to fit seamlessly into DevOps environments to boost -- not hamper -- developer productivity.
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