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Considerations & Impact of AI in Application Security


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Patrick Siffert of Checkmarx examines AI's dual impact on application security - from developer efficiency to automated threats, vulnerabilities, and why English is becoming the most dangerous programming language.

As AI becomes mainstream, its impact on application security is both revolutionary and alarming. While developers harness AI for efficiency, cyberattackers exploit it to automate threats, lower entry barriers and uncover new vulnerabilities - at unprecedented speed. AI-generated code, implicit bias and prompt injection attacks are further reshaping the threat landscape. With real-world examples including the exploitation of ChatGPT for EternalBlue attacks, this session underscores why securing applications is more critical than ever.

In this session, Patrick Siffert, regional director at Checkmarx, will share insights on:

  • How AI is enabling a new wave of attackers through commoditized knowledge and automated exploitation;
  • Why English - not Python - is becoming the most dangerous programming language in the AI era;
  • The urgency of embedding robust application security programs to address vulnerabilities in AI-assisted development.
 

Here is the course outline:

Considerations and Impact of AI in Application Security