ForAllSecure

OCTOBER 23, 2019

The realization that software is becoming an essential component of our everyday lives was reflected yet again in this year’s Black Hat. Even more solutions are being touted to deal with the ever-growing exposure of software to malicious threats. Software is infrastructure. What is required is a change of perspective.

Software 40

Software Software Analysis Programming 40

ForAllSecure

OCTOBER 23, 2019

The realization that software is becoming an essential component of our everyday lives was reflected yet again in this year’s Black Hat. Even more solutions are being touted to deal with the ever-growing exposure of software to malicious threats. Software is infrastructure. What is required is a change of perspective.

Software 40

Software Software Analysis Programming 40

ForAllSecure

NOVEMBER 3, 2020

Software Composition Analysis (SCA). SDLC Phase. Pre-Deployment and post-deployment (vendor dependent) ; AST solutions integrated earlier in the SDLC is desired for DevSecOps. Pre-Deployment and post-deployment; AST solutions integrated earlier in the SDLC is desired for DevSecOps. Advanced Fuzz Testing (AFT).

SDLC 52

SDLC Applications Study Devops 52

ForAllSecure

NOVEMBER 3, 2020

Software Composition Analysis (SCA). SDLC Phase. Pre-Deployment and post-deployment (vendor dependent) ; AST solutions integrated earlier in the SDLC is desired for DevSecOps. Pre-Deployment and post-deployment; AST solutions integrated earlier in the SDLC is desired for DevSecOps. Advanced Fuzz Testing (AFT).

SDLC 52

SDLC Applications Study Devops 52

ForAllSecure

NOVEMBER 3, 2020

Software Composition Analysis (SCA). SDLC Phase. Pre-Deployment and post-deployment (vendor dependent) ; AST solutions integrated earlier in the SDLC is desired for DevSecOps. Pre-Deployment and post-deployment; AST solutions integrated earlier in the SDLC is desired for DevSecOps. Advanced Fuzz Testing (AFT).

SDLC 52

SDLC Applications Study Devops 52

ForAllSecure

DECEMBER 20, 2022

Software application vulnerabilities fall into three different risk categories : Known Known : Known Knowns are identifiable risks that are known to lead to compromise. These risks are identified through a Common Vulnerabilities and Exposure (CVE) ID, with 100s to 1,000s of vulnerabilities in a given software.

Applications 40

Applications SDLC Security Software 40

Cloud Musings

DECEMBER 19, 2016

Zeroth’s ability to replicate intuitive experiences provides a number of opportunities within sentiment analysis. Using this approach, cognitive analytics such as voice (tone analyzer, speech-to-text) and video (face detection, visual recognition) capabilities enables quick analysis of petabytes of unstructured data.

Cloud 70

Cloud IBM SDLC Analysis 70

ForAllSecure

JUNE 7, 2021

Aerospace has become a software industry. Software drives every area of flight, including flight control, ground-based systems, communication, weather, maintenance systems, infotainment and more. Software can both meet requirements and still not be secure. What is ED-203A / DO-356A?

Analysis 52

Analysis Security Software Software 52

ForAllSecure

JUNE 7, 2021

Aerospace has become a software industry. Software drives every area of flight, including flight control, ground-based systems, communication, weather, maintenance systems, infotainment and more. Software can both meet requirements and still not be secure. What is ED-203A / DO-356A?

Analysis 52

Analysis Security Software Software 52

ForAllSecure

JUNE 23, 2020

There are several benefits for using Static Analysis Security Testing (SAST) for your software security. In theory, the ability to analyze source code and infer potential defects using SAST in the build process seems like a real step forward in improving the quality of software. Another approach is required. Enter Fuzzing.

Applications 52

Applications Security Analysis Software 52

ForAllSecure

JANUARY 21, 2021

Vulnerability analysis rarely ends with a single assessment. The quality of analysis has thus far been overlooked. It is a misconception that no reported bugs indicates the software under test is secure. More often than not, it indicates defects have clustered in limited sections of the software, creating hotspots.

Open Source 52

Open Source Licensing Analysis Applications 52

ForAllSecure

SEPTEMBER 9, 2021

To make matters worse, the approaches that static analysis (SAST) and software composition analysis (SCA) take inherently place testers in a reactive position -- meaning they’ll never get ahead of the threat landscape. Today we’re living on borrowed security time by developing software faster than we can secure it.

SDLC 52

SDLC Applications Security Analysis 52

ForAllSecure

JANUARY 21, 2021

Vulnerability analysis rarely ends with a single assessment. The quality of analysis has thus far been overlooked. It is a misconception that no reported bugs indicates the software under test is secure. More often than not, it indicates defects have clustered in limited sections of the software, creating hotspots.

Open Source 52

Open Source Licensing Applications SDLC 52

ForAllSecure

JULY 8, 2021

Mayhem, for example, is able to: Conduct binary analysis of applications (DAST).with Articles often highlight what made the difference: Mayhem’s accurate analysis allowed it to make complex business decisions that it otherwise wouldn’t have been able to do with inaccurate information. with visibility into code (SAST).taking

Applications 52

Applications Security Analysis SDLC 52

ForAllSecure

JUNE 23, 2020

There are several benefits for using Static Analysis Security Testing (SAST) for your software security. In theory, the ability to analyze source code and infer potential defects using SAST in the build process seems like a real step forward in improving the quality of software. Another approach is required. Enter Fuzzing.

Applications 40

Applications Security Analysis Software 40

ForAllSecure

JUNE 23, 2020

There are several benefits for using Static Analysis Security Testing (SAST) for your software security. In theory, the ability to analyze source code and infer potential defects using SAST in the build process seems like a real step forward in improving the quality of software. Another approach is required. Enter Fuzzing.

Applications 40

Applications Security Analysis Software 40

ForAllSecure

FEBRUARY 2, 2023

Mayhem combines fuzzing with ML techniques such as symbolic execution, a program analysis technique that determines what inputs cause each part of a program to execute. Mayhem uses fuzzing along with other techniques to find vulnerabilities in software. Fuzzing is a powerful tool for detecting vulnerabilities in software.

SDLC 40

SDLC Budget Applications Security 40

ForAllSecure

JULY 27, 2021

A benchmarking study by the NSA Center for Assured Software found that the average SAST tool covers only 8 out of 13 weakness classes and finds only 22 percent of flaws in each weakness class. These include static analysis software testing and penetration testing and it assumes that security is binary.

Security 52

Security Applications Development SDLC 52

ForAllSecure

AUGUST 31, 2021

Under the Dynamic Analysis class, Mayhem can help with many sections: Section 2.5 The Mayhem Fuzzing Engine will help with negative tests, using invalid inputs and testing what the software should not do, input boundary analysis, and input combinations. This process can also be integrated easily into any existing CI pipeline.

SDLC 52

SDLC Analysis Engineering Applications 52

ForAllSecure

AUGUST 21, 2019

This technique has been battle-tested in the 2016 DARPA CGC, where it took first place, and deployed in the real-world, solving some of the most critical software security challenges. “Google has used fuzz testing to find 27,000 bugs and vulnerabilities in both Chrome and open source software. Missed the webinar? Not a problem.

Development 52

Development Security Applications Devops 52

ForAllSecure

AUGUST 21, 2019

This technique has been battle-tested in the 2016 DARPA CGC, where it took first place, and deployed in the real-world, solving some of the most critical software security challenges. “Google has used fuzz testing to find 27,000 bugs and vulnerabilities in both Chrome and open source software. Missed the webinar? Not a problem.

Development 40

Development Security Applications Devops 40

ForAllSecure

AUGUST 21, 2019

This technique has been battle-tested in the 2016 DARPA CGC, where it took first place, and deployed in the real-world, solving some of the most critical software security challenges. “Google has used fuzz testing to find 27,000 bugs and vulnerabilities in both Chrome and open source software. Missed the webinar? Not a problem.

Development 40

Development Security Applications Devops 40