Name: Managing the risks of AI-generated code
Start: 2025-04-02T18:48:00Z
End: 2025-04-02T18:48:31.000Z
Location: BrightTALK

Black Duck is now defining the next frontier of application security. With the avalanche of AI-generated code plus expanding regulatory pressure, you need solutions that can scale, adapt, and keep pace with the demands of your business.

Black Duck meets the demands of modern software development with True Scale Application Security. In the cloud or on-prem, 100,000 lines of code or 100 million. For safety-critical systems with stringent compliance requirements or modern web apps deploying 100 times per day. Our flexible, scalable, high-precision solutions enable you to code with confidence.

Securing your software supply chain requires that you analyze dependencies for risk, harden your development pipeline, and secure the artifacts that you deploy or ship to customers. Are you prepared for the four common attack vectors that bad actors exploit?  

In this webinar, we’ll look at different types of software supply chain attacks and discuss:    

• The riskiest points of your software development lifecycle 
• Real-world examples of how attackers take advantage of upstream dependencies and build automation 
• Crucial tools and processes to help you avoid falling victim to supply chain attacks

Don’t Take the Bait: Four Software Supply Chain Attacks

The regulatory landscape is evolving constantly. Legal frameworks like the Cyber Resilience Act (CRA) and the Digital Operational Resilience Act (DORA) are redefining compliance requirements and posing significant challenges for AppSec, DevSecOps, and compliance teams. 
Do you have effective strategies in place to scale AppSec programs and maintain compliance?
Join our experts, as they explore the importance of
• Understanding regulatory impact without using AI
• Scaling AppSec programs and effectively meeting regulatory demands
• Determining who is empowered define organizational requirements
• Avoiding rework and maintain compliance

Are you willing to risk CRA Compliance to Self-Assessments?

Join us for an exclusive insider session! We’ll explore the latest trends and challenges in embedded software development. “The State of Embedded Software Quality and Safety” report uncovers key issues in the industry. It highlights the fast rise of AI, potential new risks to software quality, and a shift in what’s driving Software Bill of Materials (SBOMs) requirements.

Here's what you can expect to learn
• How “shadow AI” introduces new risks to governance, security, and IP
• The evolving skillset required for modern embedded developers
• The rising demand for SBOMs as a commercial requirement
• Strategies for balancing speed and quality in software development
• How leading organizations are managing the risks associated with AI and open source software

Get key insights into embedded software development. You'll learn to handle quality, safety, and security in an AI-driven world.

The Rise of AI and New Risks to Embedded Software Development

Join two of our cybersecurity experts for a lightning round that cuts through the hype and addresses the immediate challenges of AI in software development. We'll explore the paradigm shift that is reshaping creativity and problem-solving in development, the new frontier of AI-influenced software risk, and discuss ways in which AI coding assistants and open source AI models form the next evolution of the software supply chain crisis.
 
This session charts a course from high-level business concerns directly to the developer experience, examining:
- The business and contractual liabilities that arise when AI-generated code enters your products.
- New, instinct-driven "vibe programming" and the debate over whether this emerging methodology is a sustainable path to innovation or a source of unpredictable risk.
- How AI coding assistance alters hiring strategies and the critical role of code review by security-capable developers in an AI-driven workflow.
- Emerging attack vectors tied to the growing use of open-source AI models.
- Viable paths forward to harness the power of AI, manage its inherent risks, and minimize organizational disruption by establishing resilient and scalable safety nets within your pipeline.

AI-Assisted Disruption: How Change Impacts Dev and Sec as Organizations Pivot to AI

Join us for a webinar discussing the challenges organizations face in transitioning to PCI-DSS 4.0 and implementing new security measures. We will explore the updates to the security framework and the critical need to secure APIs to protect sensitive payment information. Don't miss this opportunity to learn about the latest in PCI-DSS 4.0 and how to effectively adapt to these new standards.

PCI-DSS 4.0 Explained

Do you know how to navigate the risks of AI-powered development? How can you establish secure DevSecOps initiatives?  
  
This presentation will highlight key aspects of the latest AI-trends and the risk implications for business operations. Get crucial insights from a roundtable discussion with industry leaders from NTT DATA Italy and AppSec Application Security Services. Key takeaways include
 
- Understanding the potential security risks of AI-powered development 
- Strategies for establishing consistent and scalable DevSecOps initiatives in AI-powered development 
- Empowering developers to create secure software

Navigating the Risks of AI-Powered Development for Secure Software

AI coding assistants are transforming business, with adoption driven both by developers seeking help and by executives seeking savings. But this evolution should not come at the cost of enterprise security or valuable intellectual property. This session explores the most urgent challenges created by AI-enabled development, contrasted by the most effective methods to mitigate them without breaking DevOps pipelines.  

Whether you are advocating for change or evaluating your options, join us as we discuss:  

- Practical solutions for rapid, automated security testing integrated within CI/CD pipelines 
- AI-powered security tools that help developers to embrace AI and security teams to accelerate at the pace of AI 
- Mechanisms to protect valuable intellectual property as AI code generators leverage licensed source material 
- Emerging attack vectors baked into open source AI models and how to address them

Embrace AI coding assistants while efficiently managing risk

The EU created the Digital Operational Resilience Act (DORA) to help the financial sector withstand, respond to, and recover from Information and Communication Technology (ICT) disruptions.  But what does that mean from a security testing perspective?
 
Join this webinar to get practical and tactical advice on how to address testing requirements. We’ll cover:
 
• An in-depth look at DORA with a focus on articles 25 and 26 (testing)
• It’s impact on the financial sector and vendors that support them
• Best security testing practices to satisfy DORA requirements

DORA and Software Security

Forcing AppSec tests into developer pipelines, without aligning them to their preferred tools, can lead to inefficiencies and security oversights. Security teams need full risk visibility and developers need to meet shipping deadlines. While developers should not take full responsibility for security testing, they must be able to initiate, support, and benefit from it without changing their existing workflows. 

The most effective and efficient way to accomplish this is with out-of-the-box integrations and security testing templates that work natively with leading DevOps platforms like GitHub, GitLab, and Azure DevOps (ADO) to automate critical AppSec tests and quickly close feedback loops with developers. Join Black Duck as we discuss: 

Using DevOps platforms’ automation templates to embed AppSec into CI pipelines 

- Making security scans and fix pull requests an automatic part of dev workflows 
- Reducing risk and issue backlogs with developer security training and clear fix guidance 
- Accelerating AppSec using AI-enabled DevOps and security tools 

Start making life easier for developers and AppSec teams with integrated security testing for GitHub, GitLab, ADO, and more.

Developer-First Security: How to Automate Security Tests with GitHub, GitLab, and more

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

5 Steps to Achieving Developer-First Security

There are three regulations that every software development team should be aware of: NIST Secure Software Development Framework (SSDF), the EU Cyber Resilience Act (CRA), and the FDA Cybersecurity Requirements for Medical Devices. What’s your regulation IQ? 

Join this webinar to learn how to navigate these regulations to secure your software supply chain. We’ll cover:  

- Key requirements, commonalities, and differences across the three regulations  
- The importance of an SBOM in dependency tracking and risk management 
- Best practices for complying with these cybersecurity standards  

Register now.

Software Supply Chain Security: Navigating NIST, CRA, and FDA Regulations

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

As open source software continues to reshape the technology landscape, legal and compliance challenges have evolved at an unprecedented pace. This comprehensive annual review examines the most significant legal developments in open source during 2025, providing critical insights for legal counsel, compliance officers, and M&A professionals navigating the increasingly complex intersection of open source licensing, intellectual property, and corporate risk.

What You'll Learn:

• Litigation Landscape: Key developments in the Vizio lawsuit and other potential precedent-setting cases.
• AI and Open Source Convergence: Legal implications of AI-powered models from DeepSeek, Hugging Face, and OpenAI's open-weight releases, plus updates on AI-generated code contributions and the GitHub Copilot litigation.
• Strategic License Changes: High-profile transitions including Redis and Bitwani, and the emerging trend of time-delayed license changes.
• Ecosystem Governance: Leadership changes at the Open Source Initiative, plus updates regarding OpenChain, the Linux Foundation, and OpenStack.
• Emerging Risk Areas: Font licensing complexities and the Shai-Hulud npm malware attack's implications for supply chain security and compliance.
 
Join us for this essential annual briefing to stay ahead of the legal trends shaping open source in 2026 and beyond.

The 2025 Open Source Year in Review

In September 2025, the Shai-Hulud worm compromised over 500 npm packages, exploiting phishing and self-replicating malware to steal credentials and disrupt software supply chains. This brief webinar explores the attack’s mechanics, from phishing maintainer credentials to spreading malicious updates, and its devastating impact, including cloud breaches and ransomware risks. Learn how Black Duck’s Software Composition Analysis (SCA) tool rapidly detects and remediates vulnerabilities like Shai-Hulud, empowering teams to secure their open-source dependencies in minutes. Join us for a concise overview and live demo showcasing actionable defense strategies for developers and security professionals.

Unmasking Shai-Hulud: Defending Against the Latest npm Supply Chain Attack

See how our native GitHub App makes it easy to bring Black Duck’s security tools right into your development workflow. With automated scanning, easy onboarding, and flexible scan triggers, you can manage security without ever leaving GitHub. This integration helps teams work faster, stay secure, and improve the developer experience—whether you're handling one project or many.
 
Join this exclusive session to learn:
- Deliver security findings directly as pull request comments
- Generate automatic fix PRs when vulnerabilities are detected
- Seamlessly integrate with the GitHub Advanced Security dashboard
- Enable custom policy controls for pull request checks

Black Duck for GitHub: Seamless Security Integration

Software is the backbone of many businesses today. Even though secure and reliable code is important, it's harder than ever to follow coding rules because apps are complex, open source is common, and security threats keep changing.

In this webinar, we’ll discuss:  
• How policy-driven scans help ensure your software meets compliance 
• Testing your software early in the SDLC when issues are easiest to resolve 
• Tracking and prioritizing the defects that are most critical to your software 
• Generating custom reports that prove compliance to your leadership team  

Ensure your software complies with the coding standards that are most important to your business. Register today.

Proving Code Compliance to Leadership

In February 2024, the NIST Cybersecurity Framework (CSF) 2.0 update was released, featuring the latest advancements. This update brings a host of transformative changes, expanding the framework's scope. It also provides stronger governance and supply chain risk management. There are also refining metrics for assessing cybersecurity effectiveness. 

Join this webinar to learn about
• The long-anticipated CSF 2.0 update
• The implications of the changes in the 2.0 update 
• Leveraging these changes to improve current cybersecurity programs

Embracing the Future of Cybersecurity with NIST CSF 2.0

The tech M&A landscape is rapidly evolving with the pervasive integration of AI into target company applications. As machine learning, Generative AI, and other intelligent technologies become central to innovation, traditional software due diligence is no longer enough. This session addresses the critical new dimensions of risk and opportunity that AI introduces to acquisitions.

Join us for a practical framework designed to equip M&A principals and legal counsel with the tools to thoroughly assess AI-driven targets. We’ll dive into the essential areas you must explore, from evaluating model provenance and performance to navigating complex data governance and ethical considerations.

Key takeaways will include how-to effectively assess:

• AI Footprint: Understanding the strategic implementation and problem-solving capabilities of AI.
• Security Risks: Comprehensive data protection, access control, and penetration testing for AI systems.
• Legal & IP Risks: Clarifying model and training data ownership, alongside API terms.
• Quality & Reliability Risks: Ensuring performance, effective retraining, and model explainability.
• Regulatory & Compliance Risks: Navigating emerging regulations like the EU AI Act and critical data privacy concerns.

M&A's New Frontier: Assessing AI Software Risk in Your Next Deal

As you start down the path of using generative artificial intelligence (GAI) in software development to improve efficiency, reduce costs, and increase revenue, you must also be aware of the associated legal issues. How can you leverage AI and minimize the risk it presents?

Join this webinar in which a panel of legal experts and practitioners will answer your questions about the rise of AI in software development, and how you can responsibly leverage this new technology. We’ll cover:

• The benefits and risks for using AI in software development 
• The evolving legal and regulatory landscape 
• Practical advice for using AI today and into the future

Ask the Experts: AI and Software Development

Generative artificial intelligence (GAI) will fundamentally change the way that software is built. Whether they are developing or using AI tools, organizations must understand the opportunities and risks involved, and evolve governance, policies and processes to address those risks.

Join this webinar for a deep dive into the issues that arise when using GAI in software development. We’ll cover:

• Open source data and software licenses and risks with AI
• Licensing and clearance considerations for materials used to train AI models
• Licensing considerations in building, training, and using AI models
• A deep dive on GitHub Copilot, including implications of the class action suit

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

There is no shortage of buzz around generative artificial intelligence (GAI). GAI can be used in software development to generate and augment code which saves times and reduces development cycles. But using AI in software development comes with its own set of risks.

Join this webinar to get an introduction to GAI and how you can minimize risk when using it in your organization. We’ll cover:

• What GAI is and how machines learn
• Legal issues with AI including copyright, web scraping, and more
• Overview of current litigation
• Practical approaches to using GAI while minimizing risk

Best Practices for Using AI in Software Development

The Board and C-Suite are starting to take notice of the opportunities and risks inherent with powerful new generative artificial intelligence (GAI) tools that can quickly create text, code, images, and other media. Product Development and Engineering teams want to use such tools to increase productivity by at least one order of magnitude. In response, the Security, Legal, and Compliance teams typically raise legitimate concerns about the risks involved. What role can the Board and C-Suite play in this situation?
 
Join this live Synopsys webinar to get a jump start on what AI strategy, security, and governance looks like from the Board-level and C-suite. We’ll cover:
 
• Fundamentals of AI, types of models, and data used to inform them
• Expanding existing processes and procedures to address the security risks of GAI
• The top three questions the Board and C-Suite should be asking about GAI
• How to navigate the existing and evolving legal and regulatory landscape

Fundamentals of AI Strategy, Security, and Governance

Security remains a leading concern for businesses in this multi-cloud era. With the increasing cloud-native deployment and use of generative AI in application software development, along with proliferation of tools, data and applications distributed across various cloud platforms, ensuring a consistent and robust security posture and at the same time, keep pace with the fast DevOps CI/CD pipeline can be daunting.

The  webinar will explore some of the challenges organizations face when navigating the complex landscape in securing their applications from code to cloud in a fast-paced DevOps CI/CD environment. Attendees will gain insights into how companies overcome these challenges and implement robust and effective application security solutions that align to their DevSecOps initiatives.

Key Takeaways: 

- Recognize the security challenges in this high pace, evolving technology landscape
- The importance of adopting an integrated “Essential Three” app security strategy
- Practical solutions for DevSecOps alignment from a customer perspective

Cloud-native and Generative AI Implications in DevSecOps

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

Preparing DevSecOps for AI Development

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

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

Artificial Intelligence, Real Security: Preparing DevSecOps for AI Development

In the complex world of software development, generative artificial intelligence (GAI) coding tools appear as a beacon of productivity and effectiveness. When handled with precision, they brighten the path to innovation, cutting through the intricacies of coding. However, as with any unchecked flame, such tools must be carefully managed to avoid endangering an organization's valued IP, impacting its bottom line or introducing risk into an M&A transaction.

Join this webinar to get an introduction to GAI coding tools and how you can minimize risk when using these in your organization. We’ll cover:

- Introduction to GAI coding tools (from code completion to code generation)
- Legal, operational, and M&A risks arising from GAI coding tools (e.g., IP ownership, IP infringement, cybersecurity) 
- Establishing a general AI policy with provisions specifically tailored to issues arising in using AI for coding  
- Managing risk arising from GAI coding tools - this includes a mix of technical, operational and administrative safeguards (e.g., usage policies, auditing tools, optimal selection and implementation of tools) 

This presentation is intended for legal and technical teams involved in software development and M&A software due diligence.

Managing Software Risks in the Age of AI-Generated Code

Artificial intelligence (AI) continues to push the frontiers of technology - and it's here to stay. It's influence on cybersecurity reveal a double-edged sword. AI is becoming a formidable enhancer of security measures. But with all new technologies, there is a downside to consider. AI is already used as a core tool in the arsenal of cybercriminals and its capabilities are harnessed to refine every aspect of cybercrime.

The more we see criminals that leverage AI, the more we realize that our defences are not yet equipped to counter Malicious-AI. So where does this leave us?

This session will shed light on how criminals exploit AI to elevate their malicious endeavours. Gain practical insights into the evolving landscape of cybercrime and the pivotal role of AI within it. Let's take a glimpse into a future where AI dominates the cybercrime landscape! Are you ready for the move?

How to Protect Yourself from AI Cybersecurity Nightmares

As you start down the path of using generative artificial intelligence (GAI) in software development to improve efficiency, reduce costs, and increase revenue, you must also be aware of the associated legal issues. How can you leverage AI and minimize the risk it presents?

Join this live Synopsys webinar in which a panel of legal experts and practitioners will answer your questions about the rise of AI in software development, and how you can responsibly leverage this new technology. We’ll cover:

• The benefits and risks for using AI in software development 
• The evolving legal and regulatory landscape 
• Practical advice for using AI today and into the future

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

Although AI has been around for decades, recent advances, including the development of generative AI tools, mean that AI-related stories are hitting the headlines on an almost-daily basis. This includes the copyright infringement proceedings brought by a group of American novelists against OpenAI in relation to use of their novels as training data, the ban by Samsung on using generative AI tools on its internal networks and company-owned devices, and the Hollywood writers’ strike over the use of AI in the film industry. 

More than half of organisations (52%) recently polled by Gartner reported that risk factors are a critical consideration when evaluating new AI use cases. So before spending time and money on the development of software by using AI, it is important for a company to understand the potential risks of doing so and how to mitigate such risks. Companies will need to rethink how development gets done, with the focus needing to be on evolving operations and training people as much as on technology. In addition, if looking to be acquired later down the line, that company will need to be ready to answer questions from prospective buyers.

Join this webinar, in which a panel of legal experts from CMS UK  will focus on two hot topics in relation to AI: intellectual property and governance. They will cover:

•         IP issues relating to the use of third party content to train AI tools
•         questions around subsistence, authorship/inventorship and ownership of any IP
•         the risk of the output infringing third party IP rights
•         key IP considerations in the context of a potential acquisition
•         how to manage development of software with the help of AI through effective governance
•         how ISO Standards and standardisation can play a significant role in mitigating the risks associated with AI and establishing robust governance frameworks

AI and Software Development: IP and Governance

The Rise of AI in Software Development

Managing the risks of AI-generated code

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Managing the risks of AI-generated code

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