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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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Need for Speed Drives Security-as-a-Service

CIO Business Intelligence

In fact, 42% of SECaaS adopters in F5’s 2023 State of Application Strategy survey cited speed as the main driver. In fact, 75% of survey respondents say they are adopting or planning to adopt a secure software development lifecycle (SDLC). Zero Trust

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How SAST and Mayhem Work Together for Comprehensive Application Security Testing

ForAllSecure

An application security testing strategy that utilizes different kinds of application security testing tools offers the best coverage by discovering vulnerabilities from each risk category. Static Application Security Testing (SAST), or static analysis tools uncover bugs by analyzing source code.

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How to make your developer organization more efficient

CIO Business Intelligence

“A happy developer is one who’s writing code,” said Joe Mills, Director of Transformation Strategy and Automation at Discover. “So, Streamlining development through tools, knowledge, community DevWorx is a program that simplifies the developer experience, streamlines work, and frees up time to innovate.

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The DevSecOps Lifecycle: How to Automate Security in Software Development

ForAllSecure

Plan In the planning phase, development teams work with security and operations teams to identify potential security risks and develop a security strategy. This includes identifying security requirements, defining security policies , and selecting the appropriate security testing tools.

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Why Fuzz Testing Is Indispensable: Billy Rios

ForAllSecure

This is a bold statement, especially in the world of application security where strategies are around tool augmentation and diversification, leading to frequent rotation of tools within product security programs. In that conversation, one analyst shared that companies that implement fuzz testing programs never rip them out.

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Safeguarding Ethical Development in ChatGPT and Other LLMs

SecureWorld News

This is Part 1 of a three-part series tackling the topic of generative AI tools. In the realm of generative AI tools, such as Language Learning Models (LLMs), it is essential to take a comprehensive approach toward the development and deployment. Why should AI get a pass on S (Secure) SDLC methodologies?