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    Home»Development»Learn how to build security into AI

    Learn how to build security into AI

    July 16, 2025

    Artificial Intelligence is changing how we build software, but it also introduces brand new security risks. If you’re a developer or security professional stepping into the world of AI, how do you make sure your applications are safe?

    We’ve just published a new course on the freeCodeCamp YouTube channel that will teach you how to build security into AI. The course was created by security expert Robert Herbig.

    Here’s a quick look at what you’ll learn:

    • AI vs. Traditional App Security: Understand why securing an AI model isn’t the same as securing a standard web app.

    • Threat Modeling for AI: Learn how to identify potential weaknesses in your AI systems, from poisoned training data to supply chain attacks.

    • Input & Output Risks: Dive into specific attack vectors like prompt injection and adversarial examples, and learn how to prevent sensitive data leaks.

    As Robert says, “Security must be a foundational layer in AI development, not an afterthought.”

    Watch the full course now on the freeCodeCamp YouTube channel (1-hour watch).

    Source: freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More 

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    CVE ID : CVE-2025-43553

    Published : May 13, 2025, 9:16 p.m. | 3 hours, 7 minutes ago

    Description : Substance3D – Modeler versions 1.21.0 and earlier are affected by an Uncontrolled Search Path Element vulnerability that could result in arbitrary code execution in the context of the current user. If the application relies on a search path to locate critical resources such as libraries or executables, an attacker could manipulate the search path to load a malicious resource, potentially executing arbitrary code. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

    Severity: 7.8 | HIGH

    Visit the link for more details, such as CVSS details, affected products, timeline, and more…

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