This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Director of Microsoft Research NExT Special Projects, echoed this sentiment: “Fuzzing seems like black magic and it just seems impossible to bring into [a] company. The advent of CI/CD, DevOps, and Digital Transformation has rendered application security testing 1.0 At FuzzCon 2020, Mike Walker, Sr.
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.
However, traditional fuzzers, although they have a quicker time to fuzz, are notorious for their inability to integrate into DevOps pipelines -- their largest limitation. As software testing gets pushed out further right of the SDLC, remediation becomes increasingly expensive and time-to-market delayed.
However, traditional fuzzers, although they have a quicker time to fuzz, are notorious for their inability to integrate into DevOps pipelines -- their largest limitation. As software testing gets pushed out further right of the SDLC, remediation becomes increasingly expensive and time-to-market delayed.
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.
Dave Bittner: [00:03:32] CBS News and others report that Microsoft has observed a spike in Iranian cyberattacks since nuclear nonproliferation agreements collapsed. Dave Bittner: [00:06:20] This insertion of the Sec into DevOps - what's been the practical implications of that? This 20 minute podcast is available for listening below.
Dave Bittner: [00:03:32] CBS News and others report that Microsoft has observed a spike in Iranian cyberattacks since nuclear nonproliferation agreements collapsed. Dave Bittner: [00:06:20] This insertion of the Sec into DevOps - what's been the practical implications of that? This 20 minute podcast is available for listening below.
Dave Bittner: [00:03:32] CBS News and others report that Microsoft has observed a spike in Iranian cyberattacks since nuclear nonproliferation agreements collapsed. Dave Bittner: [00:06:20] This insertion of the Sec into DevOps - what's been the practical implications of that? This 20 minute podcast is available for listening below.
These tools generally work on fully developed/deployed applications which fundamentally shifts them rightmost in the SDLC. Google (through the OSS-Fuzz initiative ) and Microsoft (through the development of their Security Risk Detection engine ) have been extremely successful apply this technology to make their applications more resilient.
These tools generally work on fully developed/deployed applications which fundamentally shifts them rightmost in the SDLC. Google (through the OSS-Fuzz initiative ) and Microsoft (through the development of their Security Risk Detection engine ) have been extremely successful apply this technology to make their applications more resilient.
These tools generally work on fully developed/deployed applications which fundamentally shifts them rightmost in the SDLC. Google (through the OSS-Fuzz initiative ) and Microsoft (through the development of their Security Risk Detection engine ) have been extremely successful apply this technology to make their applications more resilient.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content