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AI-based application testing: Simulate attacks at scale

With advances in AI capabilities, hackers have leveraged the evolving technology in order to perform more sophisticated attacks at scale.

But hackers aren’t the only ones who can use AI.

If actual attacks are using AI, then simulated attack testing that is performed at scale using AI is as close of a simulation to the real thing as one could hope for.

Download this white paper to learn more about the state of AI in cybersecurity, and how you can use AI-based testing to bolster the security of your organization’s applications.

These are also closely related to: "Understanding Your Open Source Risk"

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    Today’s cybercriminals have your applications and software in their crosshairs. As a result, delivering secure code has never been more important.


    But what, exactly, are the common software vulnerabilities you need to know about? How do attackers exploit them? And what should you do to prevent a breach?


    This 31-page eBook answers all these questions and more, providing a roadmap to secure coding in practice. Topics covered inside include:


    • A brief history of hacking
    • 4 key pillars of secure coding
    • How to deliver safer code faster
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  • Urban Myths About Secure Coding

    Urban myths, whether rooted in reality or fabricated entirely, have the power to change perception. Secure coding practices are not exempt from the danger of myths, as many misconceptions still plague the industry today.

    This e-book is designed to rectify these misconceptions by presenting 6 common urban myths about secure coding and giving practical guidance for how to overcome them. Read the full e-book to learn about what myths may be holding you back from securing your code.

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