Remove Product Management Remove Security Remove Software Review Remove Technical Advisors
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Simple sabotage for software

Erik Bernhardsson

Refer back to matters decided upon at the last meeting and attempt to re-open the question of the advisability of that decision. Leverage any production issue as a reason to “pull the brakes” Introduce very complex processes for code change and common workflows. Make expensive acquisitions to enter new product areas.

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The Dark Side of AI in Cybersecurity — AI-Generated Malware

Palo Alto Networks

“AI’s Impact in Cybersecurity” is a blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42, with roles in AI research, product management, consulting, engineering and more. With the addition of polymorphy and automatically generated malware, this net could be torn completely."

Malware 83
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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 then discuss how building on a secure foundation is essential for generative AI.

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Guidance Software Federal Summit 6 March 2014

CTOvision

By Bob Gourley 2014 Guidance Software Federal Summit: Cybersecurity | E-Discovery | Enterprise Forensics. Recognized as a pioneer in the field of classified information protection, Mr. Bigman developed technical measures and procedures to manage the nation’s most sensitive secrets. Government. Register Now!

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Chief Technology Officer: Understanding the Main Tech Person In a Company

Altexsoft

A Chief Technology Officer (sometimes called Chief Technical Officer) is the most skilled technology person in the company. If it’s a tech startup, a CTO is usually a co-founder, the main thinker behind the product. CTO vs CIO vs VP of Engineering vs Technical director. VP of Engineering – tech team management.

CTO 76
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Effectively manage foundation models for generative AI applications with Amazon SageMaker Model Registry

AWS Machine Learning - AI

Generative artificial intelligence (AI) foundation models (FMs) are gaining popularity with businesses due to their versatility and potential to address a variety of use cases. Managing these models across the business and model lifecycle can introduce complexity. Saumitra Vikaram is a Senior Software Engineer at AWS.

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10 ways AI can make IT more productive

CIO

Provide more context to alerts Receiving an error text message that states nothing more than, “something went wrong,” typically requires IT staff members to review logs and identify the issue. He notes that AI can also automatically create pull requests and integrate with project management software.