Name: How Generative AI is Changing the SDLC
Start: 2024-10-31T06:00:00Z
End: 2024-10-31T06:00:51.000Z
Location: BrightTALK
Rating: 4

Black Duck® offers the most comprehensive, powerful, and trusted portfolio of application security solutions in the industry. We have an unmatched track record of helping organizations around the world secure their software quickly, integrate security efficiently in their development environments, and safely innovate with new technologies. As the recognized leaders, experts, and innovators in software security, Black Duck has everything you need to build trust in your software.

As of October 1, 2024 the Synopsys Software Integrity Group is now Black Duck®

Gain insights into important legal developments from two of the leading open source legal experts, Tony Decicco, Principal at GTC Law Group & Affiliates and Chris Stevenson, Of Counsel at DLA Piper.

This annual review will highlight the most significant legal developments related to open source software in 2024, focusing on topics that were resolved, those that got started and what we can expect to see in coming years.

The 2024 Open Source Year in Review

Just as most software assets contain open source, modern software applications commonly include third party software functionality via calls to external web services via APIs. By using web services, developers may be inadvertently signing their companies up to terms of service or using a web service without a suitable agreement. Using these services can expose a company to compliance, security, data privacy, and operational risks that could disrupt or severely affect the business. As part of the tech M&A due diligence process, you should be aware of these web services-related risks so that you can make informed decisions about deal valuation and remediation.
 
Join us for a discussion about web services and how they can affect M&A and other transactions. We’ll cover:
 
• The legal compliance, data privacy, security, and business risks that come with web services
• Typical terms of service and common pitfalls
• Real-world examples of these risks
• How a buyer can get a better understanding of these risks in a target’s codebase or how a seller can prepare for diligence to avoid risks
 
Don’t miss this informative webinar. Register today.

Web Services & APIs: Impact on M&A and Other Transactions

Python is a fast, platform-agnostic, and easy-to-learn programming language that is suited for beginners and experienced developers alike. Ever since its first release in 1991, Python has had a constant presence in the computer world and has become a go-to language thanks to its easy-to-understand code and versatility. Today, Python can boast a wide array of libraries and frameworks, and they are the cornerstone of fast and easy Python programming—the so-called Pythonic way of development.
 
But like all programming languages, Python is not immune to security threats. Secure coding best practices must be adopted to avoid risks from attackers. In this webinar, we’ll explore Python security best practices that should employed when building secure application.

Python 101

Software vendors and development teams that build their applications on low-level languages like C and C++ are aware of the complexity that comes along with using these versatile and adaptable languages. As such, most teams have processes in place to review code for security and quality issues. 

However, most teams are missing a glaring blind spot, and that’s the open source used in their applications. Despite making up 77% of the average application, open source can be difficult to track in C and C++ applications because of the lack of standardization around package manager use.   

Join us to learn how you can make open source risk management a part of your application security program. We will discuss:  

- How open source dependencies are used in C and C++ development 
- Security, quality, and IP compliance risk of untracked open source dependencies 
- How Black Duck SCA handles open source in C and C++ where others fall short

How to Score an A+ on C++ in Open Source Security

In this webinar we delve into articles 25 and 26 of the DORA which concentrate on testing. It offers practical, tactical advice for both financial entities and their vendors on how to address requirements for testing and advanced testing and specified by the act.

DORA and Software Security

This year’s DevSecOps report defines a vivid image of organizations’ journey to secure their software development pipelines. It provides intriguing conclusions about operational challenges, AppSec efficiency, and evolving risk exposure amid the rise of AI-assisted development. Did you know that although 85% of respondents have some measures in place to address the challenges posed by AI-generated code, only 24% are “very confident” in their policies and processes for testing such code? 

Join us as we examine the key findings from the Black Duck 2024 DevSecOps report and discuss

• The state of DevSecOps across roles and technologies in light of AI-assisted development
• What a maturing DevSecOps program looks like, and which tools and practices foster growth
• How to integrate application security without impeding DevOps

DevSecOps in the Wild: Examining Global Security Factors in 2024

Legislation requiring stringent software security practices by software producers is being passed around the globe. This requires organizations to rethink their approach to software security, which industry standards they follow, and the best practices for their software development teams.

NIST has produced guidance known as the Secure Software Development Framework (SSDF). The SSDF is a series of practices and associated tasks that serve as a baseline for teams seeking to securely develop software in a standardized way. Attestation to conformance with a subset of the SSDF has been signaled by the U.S.

In this webinar, you will learn the best practices for performing an SSDF readiness assessment including:

• Whether your organization’s software development practices align with the SSDF
• How to determine which controls are lacking for conformance with guidelines
• How to perform associated corrective recommendations on time
• Case studies of successful U.S. government attestations

Best Practices for Leveraging the SSDF

AI coding assistants, such as Microsoft CoPilot and ChatGPT, will fundamentally change the way teams build software, much like open source software has over the last decade. As with open source, teams seeking the benefits of AI will also need to take precautions to address the security, quality, and intellectual property risks that come with the use of AI-generated code. Is your team ready for AI? 

In this webinar, we'll explore: 

Key risks teams might encounter using coding assistants 

Safeguards needed for confident use of AI-generated code

Keeping Pace: Managing the risks of AI-generated code

AI-powered development has greatly increased the rate at which software evolves. But using artificial intelligence as a proxy for security-aware developers introduces a variety of risks to the business.

Organizations must prepare for the complexities of AI-powered development. This requires establishing consistent and scalable DevSecOps initiatives. The discussion will cover

• Innovation and trends in AI-powered software development
• The inherent risks to application security and business operations of using AI and third-party digital artifacts
• Best practices for establishing application security testing and issue remediation within DevOps workflows that include AI
• Ways to use AI to empower developers and reduce the opportunity of an attack

Artificial Intelligence, Real Security: Preparing DevSecOps for AI Development

DevSecOps and cloud services are driving container adoption in software. As container architectures get complex, they're increasingly exploited. This talk aims to clarify containerization and infrastructure-as-code (IaC) for beginners. We'll cover container technologies, key terms, their value, popularity, challenges, and security issues. We'll discuss common threats, vulnerabilities, attack vectors, and provide real-world attack examples. We'll reference standards and resources like OWASP Docker Top 10, Container Security Verification Standard, NIST Application Container Security guide, and CIS Benchmarks. Finally, we'll provide guidelines and best practices for securing containers.

Finding Your Way in Container Security

As the popularity of cloud-native applications continues to surge, containers are becoming the preferred option to package and deploy these applications because of the agility and scalability they deliver. According to Gartner, “by 2022, more than 90% of global organizations will be running containerized applications in production by 2026 or 2027,up from less than 40% in 2021.”

The popularity of containers has also attracted the attention of hackers who are constantly looking for new ways to exploit them. Containers expand an organization’s attack surface and increase the risk to the applications they house. A comprehensive approach for container security is required to mitigate the risk to containerized applications and infrastructure.

In this webinar, we’ll outline the essential elements required to secure your container environments, including:
• Understanding what containers are (and aren’t)
• How to look at container security holistically
• The top threats to container landscapes
• Relevant case studies

Container Security Essentials

Securing software takes teamwork—a unified approach from development through testing and into production. But each team has a distinct set of requirements and workflows that need to align to realize a concerted push for security. And while developers influence risk posture, they are often not trained in or focused on software security practices.

How can you make the effort that developers and DevOps teams are already putting in more valuable to the business? What's the best way to cultivate highly security-conscious developers so your software becomes more secure over time? Is there a way to derive tangible benefits for the business, the team, and the individual?

Join us as we break down a five-step process with real-world applicability. Topics include

• The critical distinction between developers' security awareness and their security capability
• Mechanisms to automate risk detection and accelerate remediation across the pipeline, including at the developer desktop
• How to establish security gates in DevOps pipelines in a way that doesn't derail development or lead to missed shipping deadlines
• How to create a DevSecOps initiative that can evolve with the business and enable developers to sustain security requirements as part of their day-to-day
• Ways to maximize security's value to the business and its customers

AppSec Automation: Five Steps to Achieving Developer-First Security

Organizations face a variety of threats from malicious actors. With the proliferation of web services, APIs are the fastest-growing attack surface in the industry. It's time to act. Join this webinar to get answers to some of the most pressing questions, such as

• What are the current industry trends on API usage?
• What are the challenges in dealing with application and API security?
• What are the solutions to API security challenges?
• What is an example of a firm that has adopted an IAST tool for API security?

Addressing API Security in Your DevSecOps Life Cycle

Technology drives business value and understanding the intricacies of software due diligence has become paramount in M&A. While mitigating risk has always been the priority, the risk landscape has changed over time, the risk categories have expanded, and the diligence process has evolved. 
 
Join us for this webinar to learn how the software risk landscape has evolved and how Black Duck has evolved along with it. We’ll cover:

• Key software trends over time and implications for software due diligence
• Types of software risks and how to mitigate them 
• How Black Duck’s audit offerings have evolved to address software risk

Register today.

The Evolution of Software Due Diligence in M&A

The Common Vulnerabilities and Exposures (CVE) system allows interested parties to track all the relevant information about a specific vulnerability. It helps avoid duplication and allows software vendors and users alike to ensure that they are referring to the same vulnerability in their efforts to protect systems against attack. 

In this 15 minute session, you’ll gain
• An understanding of what the CVE system is
• Knowledge of the stakeholders involved 
• Insight into the elements of a CVE ID
• A walkthrough of the CVE Record Lifecycle

As of October 1, 2024 the Synopsys Software Integrity Group is now Black Duck®

CVE Explained

Join us as we explore how to scale application security in today's dynamic development environments. Don't miss this opportunity to uncover actionable strategies for managing software risk. Learn to achieve scalable application security in today's fast-paced development landscape.

What You'll Learn
- How to streamline application security and maximize insights for improved outcomes
- Techniques to optimize processes, enhance collaboration, and deliver secure software without sacrificing development speed
- Why leveraging an Application Security Posture Management (ASPM) solution can help standardize AppSec practices across diverse tooling, teams, and applications within your organization

4 Steps for End-to-End Software Risk Management

Join this webinar to learn how Black Duck® snippet matching can help identify open source software and the potential license risk that tools like GitHub CoPilot and OpenAI's ChatGPT can introduce into your codebase. With Black Duck you can

- Identity components as one of over 2,700 licenses tracked in our KnowledgeBase
- Understand license requirements in simple terms so development can quickly assess the impact of including a component in their code
- Flag potential license conflicts so teams stay in compliance with policy

Black Duck Snippet Matching and Generative AI Models

Most API Security tools/platforms are built for the Security teams that are told “here’s an API service already running – go secure it”. Thus, they take an outside-in approach of building a fence around a service and/or poking the service with a stick to see what outward reactions they can get. But even an ML-powered fence can’t stop everything. Shouldn’t we be improving the security inherent in our RESTful or GraphQL API service/microservices? Let's actually find and fix the flaws before the API is deployed. And before the developers reading this run screaming thinking this is another “shift [the extra work] left” talk, what we will advocate is a simply and scalably deployed agent that will do this work for us. It will automagically discover and ingest the API documentation (if it exists), create and run tests based on these docs, turn any other functional tests we already have into security tests, and output replayable exploits when they are found. “Agent-less” solutions don't have the visibility and controllability needed to realize the automagic of building a more secure API from the inside out.

Automagic API Security Testing

Best Practices for Using AI in Software Development

AI Strategy, Security, and Governance: The View from the Top

How Do You Secure Hype: Baselining Your Org’s Generative AI Security

Cloud-native and Generative AI Implications in DevSecOps

Managing Software Risks in the Age of AI-Generated Code

Ask the Experts: AI and Software Development

The 2023 Open Source Year in Review

AI and Software Development: IP and Governance

What Is Software Composition Analysis?

AI and Open Source, Oh My!

Generative AI, Training Data, Open Source, and GitHub Copilot, Oh My!

As with all things tech, software development has been in a constant state of evolution since its infancy. Generative AI, however, has the potential to disrupt software development as we know it.
There are significant benefits offered by generative AI, but there are risks as well, including security risks. In its brief history, AI has generated buggy code, taken code from open source repositories without licensing considerations, and generated incorrect code.
In this webinar, you will learn
• What AI is and how it is used in the SDLC
• The ways AI is changing how software is being built
• The risks, drawbacks, and concerns of using AI
• How to benefit from AI while managing risks

How Generative AI is Changing the SDLC

Artificial Intelligence

DevOps

DevSecOps

SDLC

Software Development

Security Risk

Open Source

Application Development

Application Security

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How Generative AI is Changing the SDLC

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