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10 best practices when partnering for strategic skills

CIO

In addition to AI and machine learning, data science, cybersecurity, and other hard-to-find skills , IT leaders are also looking for outside help to accelerate the adoption of DevOps or product-/program-based operating models. D ue diligence pays off. AIOps platforms are one relatively new driver of such partnerships.

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Cybersecurity Snapshot: Cyber Agencies Offer Secure AI Tips, while Stanford Issues In-Depth AI Trends Analysis, Including of AI Security

Tenable

Check out recommendations for securing AI systems from the Five Eyes cybersecurity agencies. Plus, Stanford University offers a comprehensive review of AI trends. Deploying AI systems securely requires careful setup and configuration that depends on the complexity of the AI system, the resources required (e.g.,

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AI, Cybersecurity and the Rise of Large Language Models

Palo Alto Networks

Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. As cybersecurity continuously evolves, so does the technology that powers it. staff researcher and Doren Rosen, Sr.

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Savvy CIOs step up to support business hypergrowth

CIO

First was expediting a final push to move all remaining servers into the cloud for scalability, stability, and security. Delivering for growth Today, McCullen is creating new technical foundations to ensure that adaptability, and further support ongoing business growth. Technology can scale, but people can’t, he adds. There, the No.

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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. Technology When joining, require a 6-18 months rewrite of core systems. Split systems along arbitrary boundaries: maximize the number of systems involved in any feature. Blame the previous CTO.

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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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6 signs it’s time to restructure your IT organization

CIO

Yet, as any IT leader knows, when technical infrastructure fails to meet enterprise needs, hampering productivity and innovation, it’s often time to rebuild from scratch. External peers in your network that have performed similar [restructuring] efforts are also a great resource for information on approaches and pitfalls to avoid,” he adds.