Digital Colleagues, AI Agents Reshaping the ERP Workforce Model

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ERP Today highlights the evolution from assistive corporate AI to autonomous agents in enterprise operations, predicting significant revenue growth through agent-based automation. 90% of leaders expect a 25% revenue increase in three years, emphasizing the need to redefine roles and governance frameworks. Successful organizations must modernize data pipelines and adopt AI-native models while ensuring compliance and observability. Case studies illustrate efficiency gains from automation, necessitating a shift in focus for process owners towards supervisory roles over agent-driven workflows.

https://erp.today/digital-colleagues-ai-agents-reshaping-the-erp-workforce-model/

CIOs’ Top 10 Takeaways From the Year AI Got Practical

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IT leaders reflect on AI’s transformative lessons from 2025, emphasizing practical applications, rapid experimentation, data quality, and the importance of aligning AI initiatives with business goals. They also stress the social implications of AI, advocate for agile work structures, and highlight the significance of a people-centric transformation approach in technology adoption.

https://www.cio.com/article/4109167/cios-top-10-takeaways-from-the-year-ai-got-practical.html

The Top 26 Security Predictions for 2026 (Part 1)

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Cybersecurity Predictions 2026: Key trends for 2026 include:
1. Rise of autonomous AI-driven attacks.
2. Enhanced AI-powered social engineering.
3. Transition to post-quantum security.
4. Fully automated ransomware.
5. Insider threats from AI agents.
6. Merging cybercrime and nation-state attacks.
7. Increased targeting of supply chains and infrastructure.
8. Browser-based zero-trust workspaces.
9. Deterioration of critical thinking due to AI.
10. Shift towards identity-based security measures.

Organizations need to adapt quickly amid evolving cyber threats while leveraging insights from security prediction reports to navigate challenges effectively.

https://www.govtech.com/blogs/lohrmann-on-cybersecurity/the-top-26-security-predictions-for-2026-part-1

6 Cybersecurity Predictions for the AI Economy in 2026

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AI economy in 2026 will shift from AI-assisted to AI-native, with autonomous agents posing new cybersecurity risks. Predictions include: 1) AI identity threats; 2) AI agents as insider risks; 3) data poisoning challenges; 4) executive liability for AI decisions; 5) urgent need for post-quantum cryptography; 6) browser as a critical workspace needing enhanced security measures. Organizations must adopt proactive security strategies to manage the evolving threats from AI and quantum computing.

https://hbr.org/sponsored/2025/12/6-cybersecurity-predictions-for-the-ai-economy-in-2026

Cybersecurity Trends: IBM’s Predictions for 2026

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TLDR: In 2025, AI's impact on cybersecurity became profound, with organizations facing escalating risks, including cyberattacks automated by adversaries. By 2026, IBM predicts that the integration of autonomous AI will reshape enterprise risk, heighten intellectual property vulnerabilities, and elevate identity management to a national security concern. New threats from shadow AI and agentic identity will complicate accountability, while legacy security frameworks will struggle to keep pace. The urgency for crypto-agility and heightened protection against social engineering attacks on help desks is vital as threats evolve.

https://www.ibm.com/think/news/cybersecurity-trends-predictions-2026

The Supply Chain Attack Hiding in Your Supplier Portal

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Cybersecurity in manufacturing is compromised via supply chain portals, affecting high-value data. 85% of manufacturers reported security incidents linked to web forms, with significant vulnerabilities in legacy systems. Forms handling sensitive data (authentication, financials, and intellectual property) are prime targets for attacks, often lacking modern security protocols. Compliance extends beyond basic regulations to industry-specific standards, necessitating enhanced security measures. Centralizing form security can mitigate risks and facilitate compliance, as manufacturers face increasing scrutiny over supply chain security from both customers and regulators.

https://www.supplychainbrain.com/blogs/1-think-tank/post/42979-the-supply-chain-attack-hiding-in-your-supplier-portal

PCI DSS 4.0.1 Compliance Guide: Web App & API Security Controls

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PCI DSS 4.0.1 enforces stricter security for web applications and APIs, requiring an inventory of custom software, management of payment scripts, risk-based vulnerability prioritization, authenticated internal scans, and tamper detection on payment pages.

https://blog.qualys.com/product-tech/2025/12/19/pci-dss-4-0-1-compliance-web-application-api-security

Microsoft Teams Strengthens Messaging Security by Default in January

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Microsoft Teams will automatically enhance messaging security in January 2026, enabling protections against malicious content for tenants with default settings. Key features include blocking dangerous file types, detecting malicious URLs, and allowing false positive reporting. Admins should review settings before the January 12 activation date to maintain custom configurations. This update is part of Microsoft’s broader initiative to improve cybersecurity measures in response to increasing threats.

https://www.bleepingcomputer.com/news/microsoft/microsoft-teams-strengthens-messaging-security-by-default-in-january/

Why Data Skills Are the Backbone of AI Success

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Data skills are essential for successful AI implementation, yet many organizations lack adequate training, hampering ROI and transformation. A significant skills gap exists, with many employees unprepared to effectively utilize AI tools. Human expertise remains crucial for AI model success, ensuring outputs are ethical and relevant. Organizations must prioritize continuous training and data fluency to remain competitive and unlock AI's full potential, addressing workforce readiness to prevent stalled adoption.

https://startupsmagazine.co.uk/why-data-skills-are-the-backbone-of-ai-success

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