training

From 50 to 1,300 Users: BPM’s M365 Copilot Journey

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BPM successfully scaled Microsoft 365 Copilot from a 50-user pilot to a firmwide deployment reaching 1,300 employees by partnering with Valorem Reply to develop scalable training, executive sponsorship, and governance frameworks. This approach enabled rapid adoption—currently at 78%—while ensuring security, compliance, and sustainable AI innovation through structured agent management and data hygiene practices. The initiative has transformed workflows across BPM, improving efficiency and supporting ongoing AI-driven business value.

https://www.reply.com/valorem-reply/en/resources/work/2025/mw/from-50-to-1300-users-bpm-m365-copilot-journey

7 Skills and Traits of Elite Security Engineers

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Elite security engineers excel by combining deep technical skills with a broad systems mindset and adaptability to evolving threats, especially AI-driven ones. They proficiently use AI tools for predictive threat detection, understand emerging AI-related risks, integrate security with business goals, manage third-party and non-human risks, and continuously update their knowledge to stay ahead in a rapidly changing cybersecurity landscape. Their ability to communicate risks across technical and business teams makes them vital for effective enterprise security strategy and operations.

https://www.csoonline.com/article/4196428/7-skills-and-traits-of-elite-security-engineers.html

The Workforce Advantage CIOs Can’t Ignore

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Enterprises adopting agentic AI systems must prioritize AI literacy across their workforce to maximize value and effectively govern evolving technologies. Traditional education approaches lag behind rapid AI innovations, making immersive, role-specific, and practical learning frameworks essential for enabling employees to apply, adapt, and manage AI responsibly. Without building broad AI competency, organizations risk slow adaptation, implementation failures, and increased security and governance risks.

https://www.ciodive.com/news/AI-literacy-workforce-technology-infosys/824403/

No One Ever Failed a Tabletop. That Is the Problem.

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Traditional tabletop exercises in cybersecurity often fail to prepare teams for real breaches because they are static, predictable, and lack real consequences or dynamic adversary responses. Reflex Security's AI-driven simulations create adaptive, high-pressure scenarios that test decision-making in real time, providing detailed, evidence-based after-action reports that better align with regulatory requirements and improve incident response readiness.

https://cisoseries.com/no-one-ever-failed-a-tabletop-that-is-the-problem/

Why Your Most AI-savvy Employees Are Driving Shadow AI

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Employees most knowledgeable about AI often engage in using unauthorized AI tools at work to increase speed and overcome limitations of official systems, creating shadow AI challenges for CIOs. To manage this, organizations are rethinking governance and training strategies to balance encouraging experimentation with protecting data and maintaining oversight, emphasizing hands-on education that addresses technical, ethical, and security aspects while adapting AI tools to meet employee needs.

https://www.cio.com/article/4178359/why-your-most-ai-savvy-employees-are-driving-shadow-ai.html

The CIO’s Guide to Skills-Based Workforce Planning

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CIOs often find that while their organizations have sufficient IT staff, critical skills gaps—particularly in AI, cloud, and cybersecurity—hinder digital transformation efforts. Skills-based workforce planning addresses this by focusing on employees' specific capabilities rather than job titles, enabling greater workforce agility, better alignment with business priorities, and more effective talent deployment through continuous skills visibility, AI-assisted matching, and dynamic skill development programs. This approach helps organizations adapt rapidly to technological change, improving project success and business resilience.

https://www.techtarget.com/searchcio/tip/The-CIOs-guide-to-skills-based-workforce-planning

AI Training Platform for Teams

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TalentOS is an AI training platform designed to upskill teams by having them work on real business projects rather than generic coursework, providing measurable proof of AI skills through AI-graded outputs. It offers scalable pricing plans for teams of all sizes and emphasizes immediate, practical results to ensure AI adoption drives real business impact.

https://www.talentosapp.com/

Stop Blaming Your People: the Case for Human-Centred Cyber Security

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The article argues against blaming employees as the weakest link in cyber security and advocates for a human-centred approach that focuses on educating people as a key defense. Cyber security expert Caitriona Forde emphasizes shifting training from corporate obligation to teaching essential life skills that protect individuals and their families, thereby fostering a culture of empowerment rather than shame. With evolving AI threats, businesses must adopt practical measures like explaining risks, encouraging cautious behavior, sharing experiences openly, verifying requests, and governing AI use to build resilience and reduce incidents.

https://www.businessnews.com.au/article/Stop-blaming-your-people-the-case-for-human-centred-cyber-security

You Can’t Train Your Way Out of the AI Skills Gap

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Jeff Carson argues that while many enterprises recognize an AI skills gap and invest heavily in training, the core challenge lies not in skill deficiencies but in outdated work design. He emphasizes that true AI-driven transformation requires redesigning workflows, roles, and operating models to leverage AI’s capabilities effectively, moving beyond faster individual productivity to achieve improved organizational performance. CIOs play a critical role in leading this redesign to ensure that AI adoption translates into faster decisions, reduced bottlenecks, and better business outcomes.

https://www.cio.com/article/4165040/you-cant-train-your-way-out-of-the-ai-skills-gap.html

Why It’s Time to Stop Blaming Staff for Breaches

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Security awareness training has been widely adopted by companies but has not significantly reduced breaches, largely because it fails to keep pace with sophisticated, AI-driven, personalized phishing attacks. Experts argue that technology must do more to block threats before reaching employees, and training should be targeted, relevant, and supported by a positive security culture that encourages reporting mistakes rather than punishing them.

https://www.itweb.co.za/article/why-its-time-to-stop-blaming-staff-for-breaches/wbrpOqg2lYnMDLZn

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