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How G-Research Used TuringBots To Transform Software Development

Forrester IT

As we outlined in previous research, Generative AI assistants known as TuringBots can serve as powerful tools to address some of the broader software development challenges. Specifically they help to automate a wide range of tasks throughout the software development life cycle (SDLC).

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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

At the same time, developers are scarce, and the demand for new software is high. Gartner’s surveys and data from client inquiries confirm that developer productivity remains a top priority for software engineering leaders.” Organizations need to get the most out of the limited number of developers they’ve got,” he says.

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The DevSecOps Lifecycle: How to Automate Security in Software Development

ForAllSecure

Historically, security has been bolted on at the end of the development cycle, often resulting in software riddled with vulnerabilities. The DevSecOps lifecycle can be broken down into the following steps, with the development, testing, and deployment stages often happening in a loop as software updates are made and new features are added: 1.

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What Are Security Guardrails? Why Do They Matter to Your AppSec Program?

SecureWorld News

Security teams are entirely unprepared to govern and secure the modern SDLC in this agile world. Providing tools and processes to ensure developers can build secure software by default has long been recognized as the best way to avoid security pitfalls and prevent security bugs from being introduced in the SDLC.

SDLC 73
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5 Ways to Prevent Secret Sprawl

SecureWorld News

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.

SDLC 61
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Software is Infrastructure

ForAllSecure

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.

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How SAST and Mayhem Work Together for Comprehensive Application Security Testing

ForAllSecure

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.