Name: Best Practices for Using AI in Software Development
Start: 2023-06-14T16:00:00Z
End: 2023-06-14T16:01:05.000Z
Location: BrightTALK
Rating: 5

Synopsys Software Integrity Group provides integrated solutions that transform the way development teams build and deliver software, accelerating innovation while addressing business risk. Our industry-leading portfolio of software security products and services is the most comprehensive in the world and interoperates with third-party and open source tools, allowing organizations to leverage existing investments to build the security program that’s best for them. Only Synopsys offers everything you need to build trust in your software.

Understanding the risks associated with open source software has become the norm in tech due diligence, but not all approaches are created equal. Knowing what’s in the software you’re acquiring is the first step. Few targets are able to produce an SBOM and when they do, it tends to be about 50% accurate. Is “good enough” good enough for M&A?

Join this live Synopsys webinar to learn how a purpose-built M&A open source audit differs from open source management tools and why it matters in tech due diligence. We’ll cover:

• The risks associated with open source software 
•Why depth of analysis matters, and what it results in during M&A diligence
•Why accuracy, reporting and expert human analysis are keys to thorough diligence

Don’t miss this informative webinar. Register today.

Open Source Software Audit vs Scan: What’s Right for M&A?

Log4Shell, SolarWinds, CodeCov, and the npm package repository are all associated with some type of software supply chain risk or incident, but each represents completely different attack vectors. As we depend more on build and release automation and third- party dependencies, we need to better understand how threat actors exploit them to attack the consumers of software.  In this session, you’ll learn
• The riskiest points of your software development life cycle
• The four most common supply chain attacks, with real-world examples
• How to create a firewall around the software supply chain to protect your software and your customers

Four Types of Supply Chain Attacks Development Teams Should Worry About

Boost business success with modernised application security in today's digital era. As businesses shift to cloud software it's essential to find effective solutions for development and testing. Our advice: Build a robust AppSec solution. You might ask yourself how? We’ll share some insightful real-world examples of successful app security implementation. 

  

Join the webinar to explore: 

- key components of modern application security 

- empower developers for quick code scanning 

- discover strategies for identifying and mitigating vulnerabilities

Effective Cloud-based Application Security Practices for Modern Development

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

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 leader NTT DATA Italy . 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

Do you want to secure your software at scale? An application security posture management (ASPM) solution could be the answer. Maintain a strong security posture —and ensure compliance with industry standards and regulations—by gaining visibility into your applications.

Join us for a panel discussion where we share steps for securing applications. You'll learn

• Real-world use cases: Discover how regulatory-heavy industries and large enterprises use ASPM to address security challenges

• Operationalizing testing: Gain insights into how security teams can use ASPM to automate and operationalize security testing

• Maturing your AppSec program: Learn practical steps to enhance your AppSec program with ASPM

Don't miss the opportunity to learn how to be proactive in risk management.

Secure Application Software at Scale

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

Open source and third-party software make up the bulk of code in today’s applications. Open source has become so integral to modern development that security and development teams struggle to identify all the components in their software. AI code generation only adds to the difficulty.  

From license compliance issues to security vulnerabilities to reliance on stagnant projects, it’s never been more critical to know what’s in your code. It’s table stakes for addressing these risks.  

Join this webinar to hear top open source legal experts discuss how to minimize risks while leveraging open source in software development and M&A. We’ll cover:  

- Roots of open source 
- Examination of the risks 
- Overview of the most popular open source licenses  
- Guidelines for managing

Fundamentals of Open Source Risk Management

L’utilisation des logiciels libres s’est considérablement développée ces dernières années au sein des entreprises et les risques encourus restent importants, en particulier dans le contexte du déploiement massif des solutions d’intelligence artificielle qui intègrent ou produisent des composants soumis à licence libre.  Les tribunaux français ont également eu l’occasion de rappeler la validité des licences Open Source et les engagements pris par les utilisateurs, de même que les conséquences potentielles en cas de violation de ces licences.
 
Participez à ce webinaire pour échanger sur les derniers développements sur les logiciels libres. Nous aborderons notamment les points suivants :

- validité des licences
- bonnes pratiques pour l'utilisation de logiciel libres
- risques nouveaux liés au déploiement de l’intelligence artificielle
- les meilleures pratiques pour minimiser les risques associés au développement de logiciels et aux fusions et acquisitions.
 
Inscrivez-vous dès aujourd'hui.

Licences libres : l’importance d’une mise en conformité

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 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

A common adage states that “security is only as strong as its weakest link.” Penetration (pen) testing is meant to demonstrate this idea. Through administration of yearly pen tests, these entry points can be identified and patched, providing greater assurance in an application’s defense. 

A pen test is a simulated attack on your apps and infrastructure to find exploitable flaws and vulnerabilities. Expert testers use varying and ever-changing tools and techniques to find and demonstrate the business impacts of weaknesses in a system.  

In this webinar you will learn: 
- Definition and types of pen tests 
- The precautions you need to take before you start testing 
- Approaches to vulnerability discovery across applications 
- How (manual) pen testing fits in with automated tooling 
- Development of an example vulnerability

Pen Testing 101

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

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: Enhancements, Challenges, and APIs

APIs have become central to the daily operations of most businesses. Their rapid proliferation has exposed significant vulnerabilities that need immediate attention. This presentation provides an in-depth assessment of the current state of API security. We discuss the growth of API-related incidents and provide a framework for improving API security within organizations.

Join this webinar to learn about
• API security challenges due to the increase in API usage, and the resulting vulnerabilities
• Proactive security integrations for incorporating security measures throughout the entire API development life cycle
• A framework for enhancing API security to protect against emerging threats

Elevating API Security: A Structured Approach

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

We all can plainly see that AI is the “next big thing.”  Whether your organization is bringing up its skill baseline, integrating LLM chatbots with existing applications, leveraging models to augment existing applications, pulling models off HuggingFace and fine tuning them, or training your own models from scratch, this talk will provide you with a baseline to answer the deceptively basic question: how do I secure it?
 
Join this webinar to learn
-              The basics of GenAI 
-              Unique risks with AI integration 
-              Strategies for securely implementing AI
-              Lessons from “the field”

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

Companies adopt many application security testing (AST) tools to pinpoint where critical fixes are needed and avoid costly postproduction software issues. Yet despite a lot of AppSec investment, they still fail to get an accurate view of risk, and struggle integrate testing, triage, and remediation within developer workflows. This has driven the evolution of application security posture management (ASPM). 

In this session, we’ll dive into 
- The difference between application security orchestration and correlation (ASOC) and ASPM
- The capabilities that a comprehensive ASPM solution should have
- How ASPM can help your development and security teams mitigate software risk at scale

What is Application Security Posture Management (ASPM)?

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 live Synopsys 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

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Best Practices for Using AI in Software Development

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