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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. We first delve into the vulnerabilities, threats, and risks that arise from the implementation, deployment, and use of LLM solutions, and provide guidance on how to start innovating with security in mind.

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Artificial Intelligence and Cyber Security

iTexico

Artificial Intelligence and Cyber Security | iTexico. Would AI Improve Cyber Security on its Own? AI applications are helping businesses stay ahead of these threats by detecting potentially malicious activities by utilizing complex algorithms to pattern recognize and detect viruses and malware. Malware threats.

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Overcoming Objections to an Application Security Program

Jeremiah Grossman

Today a large percentage of security professionals truly “get” application security. What inhibits their success the most in building an effective application security program is a lack of buy-in from the business and support from development groups. But, relying on luck is not a reliable security strategy for the future.

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Top DevSecOps Tools for 2023 to Move Your Security Left

Perficient

DevSecOps is an approach to software development that emphasizes security as a critical aspect of the development process. It is a combination of development (Dev), security (Sec), and operations (Ops) practices that work together to build, test, and deploy secure software.

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Top 4 K-12 Cybersecurity Threats to Watch in 2020

PowerSchool

How to prepare your edtech systems and prevent security breaches. By Rich Gay, PowerSchool Chief Information Security Officer & & Vice President of Development. Financial cost of cybersecurity attacks. Based on our discussion with Amy, here are 4 cybersecurity issues and what to do about them.