Artificial intelligence is becoming increasingly important in software development. Security must keep up with these advancements, as new capabilities also bring new risks. On April 8, a special day by heise devSec focuses on AI and security, addressing attack vectors on AI applications, tools, and infrastructure. The presentations will offer practical insights on how software developers and architects can protect themselves.
Here is an overview of the program for the online conference:
- The Good, the Bad and the Ugly: Security in the context of AI and development.
- Threats, Laws, and Defenses: A practical guide to AI security.
- Hands-on LLM-Security: Vulnerabilities and countermeasures.
- Secure Infrastructure for AI Applications: A practical checklist.
- Strengths and Weaknesses of AI-supported Secure Software Development
- The Code of Others: Legal aspects of AI-supported software development.
Tickets for the online conference are available at an early bird price of 249 euros (plus VAT) until March 17. Teams of three or more people automatically receive a group discount in the ticket shop.
To stay updated on heise devSec, including special days, you can sign up for the newsletter. The conference is also present on LinkedIn.
AI is changing the landscape of software development, bringing both opportunities and challenges. As AI becomes more integrated into development processes, it is crucial to address the security implications. Developers must be aware of potential vulnerabilities and how to defend against them. This requires a comprehensive understanding of AI technologies and the threats they may pose.
Security in AI involves not only protecting data and systems but also ensuring that AI models themselves are secure. This includes safeguarding against data poisoning, model inversion, and adversarial attacks. Developers need to implement robust security measures throughout the AI lifecycle, from data collection and model training to deployment and ongoing monitoring.
Legal considerations are also important in AI-supported software development. Developers must be aware of the legal implications of using AI technologies, including data privacy and intellectual property rights. Understanding these aspects is essential to ensure compliance and avoid potential legal issues.
In addition to technical and legal challenges, AI in software development presents ethical considerations. Developers must consider the impact of AI on society and ensure that their applications are designed and used responsibly. This includes addressing issues such as bias, transparency, and accountability in AI systems.
The integration of AI into software development requires a multidisciplinary approach, combining technical expertise with legal and ethical considerations. By staying informed and proactive, developers can harness the power of AI while minimizing risks and ensuring the security and integrity of their applications.