Software Sundays

This week on Software Sundays, KD breaks down what happens when AI regulation moves from theory into enforcement.

Article 50 of the EU AI Act is now in effect, bringing new transparency requirements for companies deploying AI systems. We get into what businesses need to disclose, how the European approach differs from the largely voluntary AI frameworks in the United States, and why companies operating across multiple markets may eventually build around the strictest standard.

Then we get into the practical side of AI risk.

KD explains how to test the security of an AI system, why prompt injection remains a major concern, and why AI cannot be trusted to police itself. We cover access controls, external APIs, sensitive data, software dependencies, penetration testing, and the additional safeguards teams need when putting autonomous systems into production.

In this episode’s Q&A, we also break down the difference between a data controller and data processor, how AWS S3 lifecycle policies can support regulatory compliance while controlling storage costs, and how to determine whether an AI system should be considered high risk.

We also unpack human-in-the-loop, human-on-the-loop, and human-out-of-the-loop architectures — and why the amount of human oversight you need should increase alongside the potential impact of an AI decision.

We close with a mindset reminder about risk: being prepared does not mean being paralyzed. Understand what could go wrong, build safeguards, and keep moving toward the opportunities worth exploring.

Chapters:
00:00 Introduction to AI regulation and the EU AI Act
01:56 Overview of the EU AI Act's scope and requirements
03:42 Comparison between EU regulations and US approach
07:59 Implications for companies operating inside and outside the EU
08:54 Security vulnerabilities in AI systems, including prompt injections
14:58 Roles of data controller and data processor under GDPR
19:47 Using S3 lifecycle policies for compliance and cost management
23:58 How to determine if a system is high-risk?
29:27 Human-in-the-loop, human-on-the-loop, and human-out-of-the-loop architectures
36:42 Embrace Cautiousness Strategically

Join BLI University: https://discord.gg/jpJHGq6kgS 

Connect with Build Learn Impact: 
Instagram →  https://www.instagram.com/build.learn.impact
Substack → https://buildlearnimpact.substack.com

Connect with Kevin Dowdy: 
Instagram → https://www.instagram.com/mrkevindowdy
LinkedIn →  https://www.linkedin.com/in/kevinldowdy
Substack → https://substack.com/@kevinldowdy
GitHub → https://github.com/kevindowdy

DISCLAIMER: This is not professional advice. The views are my own and the people quoted. Consult your own advisers for legal, business or tax decisions based upon information from this episode.

Build Learn Impact is on a mission to help our community create wealth and opportunity through technology. 

Subscribe if you’re ready to build the future.

This week on Software Sundays, KD breaks down the growing push for open-weight AI and what it could mean for builders, businesses, and American AI leadership. More than 270 companies are calling for greater government support for open AI models, but access to powerful model weights is only part of the equation. KD explains why teams still need the infrastructure, security, reliability, evaluation, and engineering expertise required to actually deploy and operate those models successfully.

Then we get into this week’s engineering Q&A: what great software documentation should include, why version control matters even outside traditional code, and how effective logging can make debugging and incident response dramatically easier. KD also breaks down when AI is the right tool versus when deterministic, rule-based software is cheaper, safer, and more reliable.

We also cover what certifications really signal to employers and engineering teams — and why a certification should demonstrate that you understand the tradeoffs, risks, architecture, and business considerations of a technical domain rather than simply proving that you can pass an exam.

We close with a reminder to take bigger, calculated bets on yourself. Invest in your education, your skills, and your ability to create opportunities — while understanding the risks and building the systems necessary to increase your chances of winning.

Chapters:

00:18 Introduction to AI open weights and industry push

07:56 The importance of documentation in AI projects

10:53 Tracking changes with version control systems

14:48 Why is Logging Important

19:57 When to use AI versus Traditional Software

25:54 What does a certification signal to potential teams?

29:25 Take Bigger Bets on Yourself

Join BLI University: https://discord.gg/jpJHGq6kgS 

Connect with Build Learn Impact: 

• Instagram →  https://www.instagram.com/build.learn.impact
• Substack → https://buildlearnimpact.substack.com

Connect with Kevin Dowdy: 

• Instagram → https://www.instagram.com/mrkevindowdy
• LinkedIn →  https://www.linkedin.com/in/kevinldowdy
• Substack → https://substack.com/@kevinldowdy
• GitHub → https://github.com/kevindowdy

DISCLAIMER: This is not professional advice. The views are my own and the people quoted. Consult your own advisers for legal, business or tax decisions based upon information from this episode.

Build Learn Impact is on a mission to help our community create wealth and opportunity through technology. 

Subscribe if you’re ready to build the future. 

This week on Software Sundays, KD breaks down why American workers are becoming more productive, what is actually driving those gains, and why the biggest impact from artificial intelligence may still be several years away.

We start with the relationship between productivity, quality, cloud computing, remote work, and the tools that have changed how modern teams operate. KD explains why businesses will continue expecting employees and engineers to produce more with fewer resources—and what builders must do to remain competitive.

Then, we examine the growing pressure on Big Tech to justify massive AI investments. KD discusses the disconnect between Wall Street’s expectations, current model capabilities, data-center restrictions, rising infrastructure costs, and the long-term value companies must eventually prove.

We also explore Anthropic’s discussion of AI-assisted code migrations and what the Bun migration reveals about the future of software engineering. AI can help teams write and transform code faster, but experienced engineers are still responsible for planning, testing, business alignment, risk management, and delivering outcomes that stakeholders can trust.

In this episode’s Q&A, KD explains why developers should keep their branches current, when to involve IT or cybersecurity, how to determine whether a certification is worth pursuing, three practical ways to reduce cloud spending, and why planned breaks are essential for maintaining high-quality work.

We close with a reminder to remain teachable, build strong relationships with people you can learn from, and invest in the skills that allow you to move faster without sacrificing quality.

Chapters:

00:00 Introduction to the series and today's focus on tech and community

00:27 US labor productivity has been increasing for six years

00:58 Defining productivity: output over input

01:54 The importance of quality alongside productivity

02:53 Technological changes enabling productivity gains

04:09 AI's current role in productivity and future potential

06:29 The build-out phase of AI technology and its implications

07:55 The competitive landscape and continuous improvement

08:49 Mastering tools to increase efficiency

09:33 Investor expectations vs. actual AI capabilities

11:53 Regulation and its impact on AI development

13:07 The long-term value of AI investments

16:11 Efficiency in cloud resource management and FinOps

17:38 Code migration projects and engineering leadership

20:00 The irreplaceable role of human engineers

21:38 Leading with AI: decision-making and trust

22:58 Developing skills for increased productivity

23:55 Join BLI University for hands-on learning

24:59 Weekly engineering tip: keep branches current

27:27 The importance of early testing and pushing code

29:39 When to consult cybersecurity and IT

32:36 Using approved repositories and managing supply chain risks

35:37 Balancing security and innovation in development

36:00 The value of certifications and continuous learning

38:21 The role of certifications in career advancement

40:20 Reducing cloud costs through resource management

44:15 Using cloud provider tools for cost estimation

46:44 The importance of scheduled breaks and self-care

51:06 Building relationships and mentorship in tech

52:57 Final thoughts and upcoming plans

Join BLI University: https://discord.gg/jpJHGq6kgS 

Connect with Build Learn Impact: 

• Instagram →  https://www.instagram.com/build.learn.impact
• Substack → https://buildlearnimpact.substack.com

Connect with Kevin Dowdy: 

• Instagram → https://www.instagram.com/mrkevindowdy
• LinkedIn →  https://www.linkedin.com/in/kevinldowdy
• Substack → https://substack.com/@kevinldowdy
• GitHub → https://github.com/kevindowdy

DISCLAIMER: This is not professional advice. The views are my own and the people quoted. Consult your own advisers for legal, business or tax decisions based upon information from this episode.

Build Learn Impact is on a mission to help our community create wealth and opportunity through technology. 

Subscribe if you’re ready to build the future. 

This week on Software Sundays, KD explores why countries are racing to take back control of their digital infrastructure and what that means for engineers, founders, and the future of technology.

We begin with the European Union's latest tech sovereignty initiative and why governments are investing billions into homegrown chips, cloud providers, AI companies, and data centers instead of relying on U.S. and Chinese technology. Then we unpack Apple's lawsuit against OpenAI, what it reveals about the growing competition for AI talent, intellectual property, and the next generation of AI hardware.

We also discuss growing concerns around digital privacy after reports that one of the world's largest smartphone manufacturers has been collecting extensive user data across millions of devices, and why cybersecurity, governance, and digital sovereignty are becoming national priorities.

 In this week's engineering Q&A, KD explains how to successfully introduce new technologies into enterprise teams, why engineers should rarely SSH directly into production servers, what a server actually is, why technology literacy is becoming as important as financial literacy, and how the Document Object Model (DOM) powers modern web applications.

The episode closes with a reminder that boredom isn't always something to escape—it can become one of your greatest tools for clarity, focus, and intentional decision-making.

Timestamps:

00:00 Introduction to the EU's Tech Sovereignty Plan

01:41 EU's Focus on Digital Infrastructure and Self-Reliance

03:26 US and China Policies Driving EU's Digital Strategy

05:19 Investments in EU Data Centers and Cloud Infrastructure

06:46 Talent and Innovation in the EU Tech Ecosystem

08:53 Legal Challenges and Cybersecurity Risks

10:34 The Hardware Revolution in AI and Its Market Impact

12:16 The Future of Human-Technology Interaction

14:01 Legal Battles and Competition in AI Development

15:41 Insider Risks and Data Security in Tech Companies

17:48 Privacy Concerns and Data Privacy Risks

19:26 Risks of Relying on External Technology Providers

21:18 Building Resilient Digital Infrastructure in the EU

23:02 Opportunities for Builders and Developers in the EU

25:07 The Role of Automation and Scripting in Security Governance

26:58 Best Practices for Managing Production Server Access

28:34 Understanding Servers and Backend Systems

30:27 The Importance of Technology Literacy in Modern Life

32:20 The Document Object Model and Front-End Development

34:04 Security Considerations for Front-End Applications

35:53 The Impact of Technology on Daily Life and Society

37:43 The Future of AI Hardware and Human-Technology Interfaces

38:55 Legal and Ethical Issues in AI and Data Privacy

40:42 The Significance of Digital Infrastructure Investment

42:15 Cybersecurity and Data Privacy Risks in a Global Context

44:21 Practical Tips for Enhancing Digital Security

45:51 Automation and Efficiency in Security Management

48:03 The Value of Boredom and Mindfulness in Decision-Making

49:44 Final Thoughts and Personal Reflections

Join BLI University: https://discord.gg/jpJHGq6kgS

Connect with Build Learn Impact:

• Instagram →  https://www.instagram.com/build.learn.impact
• Substack → https://buildlearnimpact.substack.com

Connect with Kevin Dowdy:

• Instagram → https://www.instagram.com/mrkevindowdy
• LinkedIn →  https://www.linkedin.com/in/kevinldowdy
• Substack → https://substack.com/@kevinldowdy
• GitHub → https://github.com/kevindowdy

DISCLAIMER: This episode is for informational purposes only and should not be considered legal, financial, business, or tax advice. The opinions expressed are KD's own or those of referenced sources. Always consult qualified professionals before making important decisions.

Build Learn Impact exists to help our community create wealth and opportunity through technology.

Subscribe if you're ready to build the future.

#SoftwareSundays #ArtificialIntelligence #CyberSecurity #CloudComputing #OpenAI #Apple #EuropeanUnion #TechSovereignty #Privacy #SoftwareEngineering #Technology #Infrastructure #AIHardware #Cloud #BuildLearnImpact

This week on Software Sundays, KD breaks down how the AI infrastructure race is entering a new phase.

Meta is exploring ways to monetize its massive AI infrastructure by selling excess compute, following a strategy similar to the major cloud providers. We discuss why compute, memory, energy, and data centers have become some of the most valuable assets in technology and what this means for startups and AI companies.

We also examine expanding export controls on advanced AI models, why governments are beginning to treat frontier models as strategic assets, and how sovereign AI is becoming increasingly important as countries look to reduce dependence on foreign technology providers.

KD also explores why Meta now believes AI agents are progressing more slowly than expected, what companies overlooked during the recent wave of AI-driven layoffs, and why experienced engineers remain essential for building reliable systems.

In this week's Q&A, we cover what it means to be diligent as an engineer, why depth matters more than chasing every new framework, designing systems that can safely roll back changes, SSH fundamentals, and how Virtual Private Clouds work inside AWS.

We close with a reminder that every system naturally trends toward disorder, and why builders must consistently invest in organization if they want to scale.

Timestamps:

00:00 Meta's Strategic Shift in AI Infrastructure
07:41 Government Regulations and AI Model Control
16:05 The Reality of AI Automation and Workforce Dynamics
24:06 Diligence in Building and Development
31:42 Deep Understanding of Tools and Technologies
41:02 Database Migration Strategies
46:38 Understanding SSH and Remote Connections
52:47 Exploring Virtual Private Clouds (VPCs)
58:19 The Importance of Organization in Systems
01:03:45 Celebrating Milestones and Announcements

Join BLI University:
https://discord.gg/jpJHGq6kgS

Connect with Build Learn Impact:
- Instagram → https://www.instagram.com/build.learn.impact
- Substack → https://buildlearnimpact.substack.com

Connect with Kevin Dowdy:
- Instagram → https://www.instagram.com/mrkevindowdy
- LinkedIn → https://www.linkedin.com/in/kevinldowdy
- Substack → https://substack.com/@kevinldowdy
- GitHub → https://github.com/kevindowdy

Build Learn Impact is on a mission to help you create wealth and opportunity through technology.

Subscribe if you're ready to build the future.

DISCLAIMER: This episode is for informational purposes only and should not be considered legal, financial, tax, or professional advice. Always consult qualified professionals regarding your specific situation.

This week on Software Sundays, KD explores the global race to build AI infrastructure and why sovereign AI is becoming one of the biggest technology trends of the decade.

We begin with NVIDIA’s partnership to help build AI data centers in Indonesia and what it says about the growing demand for sovereign AI, digital infrastructure, and national technology independence. KD explains why today’s AI boom is really an infrastructure story involving chips, networking, power, and massive capital investment.

Next, we examine Google’s AI capacity crunch and why even the world’s largest cloud providers are struggling to keep up with demand. As AI adoption accelerates, engineers will increasingly need to think about AI cost optimization, token efficiency, and the business value behind every inference.

We also discuss Anthropic’s export restrictions on its newest AI models and why those decisions are pushing governments and allies to invest in domestic AI capabilities rather than relying on foreign providers.

In this week’s Q&A, KD answers questions about application logging, why individuals may benefit more than large corporations from AI, how to review pull requests effectively, common engineering habits that slow developers down, and why firewalls remain one of the most important security controls in modern systems.

CHAPTERS:
00:00 Introduction to Software Sundays
00:30 NVIDIA's Global AI Expansion
04:04 The Evolution of Data Centers
07:03 AI Infrastructure Challenges
11:19 The Token Economy in AI
16:06 Sovereign AI and Global Policies
22:14 The Importance of Digital Sovereignty
25:59 Q&A: Application Logging Best Practices
32:25 Opportunities for Individuals in the AI Era
38:31 Best Practices for Reviewing Pull Requests
45:00 Bad Engineering Habits
52:02 The Role of Firewalls in Network Security


Join BLI University:
https://discord.gg/jpJHGq6kgS

Connect with Build Learn Impact:
Instagram → https://www.instagram.com/build.learn.impact 
Substack → https://buildlearnimpact.substack.com

Connect with Kevin Dowdy:
Instagram → https://www.instagram.com/mrkevindowdy 
LinkedIn → https://www.linkedin.com/in/kevinldowdy 
Substack → https://substack.com/@kevinldowdy 
GitHub → https://github.com/kevindowdy

Build Learn Impact is on a mission to help you create wealth and opportunity through technology.

#SoftwareSundays #AI #NVIDIA #SovereignAI #Anthropic #CloudComputing #CyberSecurity #SoftwareEngineering #DataCenters #Cloud #Firewalls #Engineering #BuildLearnImpact

DISCLAIMER: This is not professional advice. The views expressed are my own. Consult your own legal, financial, tax, or business advisers before making decisions based on information discussed in this episode.

This week on Software Sundays, KD breaks down three major stories shaping the future of technology, cybersecurity, and business. We start with growing antitrust pressure on cloud providers like Microsoft, Amazon, and other infrastructure giants, and what it means when cloud computing begins to look more like a utility than a traditional technology service.

Next, we examine the cybersecurity implications of a hack that allowed fake government emergency alerts to be sent to millions of people in Brazil. KD explains why trust in digital infrastructure matters, how attacks against critical systems can create national security concerns, and why cybersecurity skills are becoming more important than ever.

We also explore the changing economics of artificial intelligence as AI companies move away from flat subscription pricing toward usage-based models. What happens when organizations are forced to measure the real value generated by AI systems? And what opportunities could emerge for engineers, operators, and future FinOps professionals?

In this episode’s Q&A, KD covers pass-by-reference versus pass-by-value, who should define security policies, why undocumented processes create operational risk, lessons learned from debugging a production issue, and how to build software that people actually want to use.

We close with a reminder that uphill battles require stronger teams, better preparation, and the right people around you to keep moving forward.

Timestamps:

00:00 Introduction to Software Sundays and Antitrust Laws

09:34 Cybersecurity Threats and National Security

16:59 The Economics of AI and Value Testing

24:13 Future Skills in Tech and Professionalism

29:09 Memory Management in Programming

33:49 Defining Security Policies in Organizations

39:57 The Importance of Documentation

44:15 Lessons from Debugging Production Issues

49:05 Creating User-Friendly Software

53:23 Overcoming Life's Uphill Battles

55:00 Announcements

Build Learn Impact is on a mission to help people create wealth and opportunity through technology.

Subscribe if you're ready to build, learn, and lead.

#SoftwareSundays #CyberSecurity #AI #CloudComputing #AWS #Microsoft #Amazon #CloudInfrastructure #Antitrust #BrazilHack #Technology #SoftwareEngineering #FinOps #Leadership #BuildLearnImpact #ArtificialIntelligence #TechNews #SecurityEngineering #Git #Programming #Developers

DISCLAIMER: This is not professional advice. The views expressed are my own. Consult your own legal, business, financial, or tax advisors before making decisions based on information discussed in this episode.

This week on Software Sundays, KD breaks down one of the biggest questions in technology today: will AI actually replace skilled professionals, or are we dramatically underestimating the value of human accountability, trust, and judgment?

We start with new claims that millions of workers are at risk from AI-driven automation and why software engineers, accountants, and legal professionals may be far more resilient than many headlines suggest. KD explains why trust-based professions could require even more human oversight as AI adoption grows. 

Next, we dive into Anthropic’s controversial decision to quietly route certain requests to less capable models without informing users. What does this mean for trust, transparency, research, software development, finance, and other industries that rely on AI-generated insights?

We also explore proposals for governments to take ownership stakes in major AI companies, what that could mean for citizens, universal capital, national security, and why AI is increasingly being treated as a strategic national asset.

In this episode’s Q&A, we cover the skills every entry-level software engineer should have in 2026, how organizations can secure open-source software, the differences between SaaS, PaaS, and IaaS, why one-on-one meetings matter, and what data centers actually do beyond powering AI.

We close with a reminder that the bar is constantly rising and that long-term success belongs to the people who continue learning, adapting, and improving.

CHAPTERS: 

00:00 Introduction to Software Sundays

00:43 AI and Job Automation Concerns

08:01 The Role of Humans in AI-Driven Fields

13:42 Government Involvement in AI Companies

18:55 The Risks of Over-Reliance on AI

21:00 Entry-Level Software Engineering Skills for 2026

24:31 Securing Open Source Software

28:00 Understanding SaaS, PaaS, and IaaS

31:03 The Importance of One-on-Ones in Organizations

32:50 The Importance of Data Centers

37:44 Continuous Growth and Improvement

Build Learn Impact is on a mission to help our community create wealth and opportunity through technology.

Join BLI University - https://discord.gg/jpJHGq6kgS

#SoftwareSundays #AI #Anthropic #ArtificialIntelligence #SoftwareEngineering #FutureOfWork #CyberSecurity #OpenSource #DataCenters #CloudComputing #Technology #Leadership #BuildLearnImpact #TechEducation #AIJobs #NationalSecurity #CareerGrowth #TrustInAI

This week on Software Sundays, KD explores three major shifts shaping the future of technology, society, and power.

We begin with Anthropic’s call for AI non-proliferation and what increased regulation could mean for innovation, competition, and the future of open-source AI. Then we examine the growing push for sovereign AI as governments invest in domestic chips, data centers, energy infrastructure, and national AI capabilities.

We also break down a milestone moment for the internet: bots now generating more traffic than humans. KD explains what this means for trust, influence, social media, AI agents, and the future of online interactions.

In this episode’s Q&A, we cover how to move quickly without making mistakes, budgeting a software engineering salary, the difference between the cloud and a home computer, what it really means to be agile, and why every engineer should be using GitHub.

We close with a reminder that sometimes growth requires changing environments and placing yourself where your goals have the best opportunity to thrive. 

CHAPTERS: 

00:00 Introduction to Software Sundays
02:32 The Call for AI Regulation
04:51 Sovereignty in AI Infrastructure
07:27 The Rise of Bots and AI Agents
09:39 The Importance of Trust in AI
12:23 Navigating the Technology Industry
14:51 Budgeting Your Software Engineering Salary
17:20 Understanding Cloud vs Home Computing
19:42 Agility in Development
22:30 The Role of GitHub in Development
25:01 Mindset for Growth

Build Learn Impact is on a mission to help our community create wealth and opportunity through technology.
 
Join BLI University - https://discord.gg/jpJHGq6kgS

Connect with Build Learn Impact: 
Instagram → https://www.instagram.com/build.learn.impact
Substack → https://buildlearnimpact.substack.com/

Connect with Kevin Dowdy: 
Instagram → https://www.instagram.com/mrkevindowdy
LinkedIn → https://www.linkedin.com/in/kevinldowdy/
YouTube → https://www.youtube.com/@kevinldowdy
Substack → https://substack.com/@kevinldowdy
GitHub → https://github.com/kevindowdy
 
#SoftwareSundays #AI #Anthropic #SovereignAI #ArtificialIntelligence #CloudComputing #GitHub #SoftwareEngineering #TechEducation #DigitalSovereignty #OpenSource #CareerGrowth #Leadership #BuildLearnImpact

This week on Software Sundays, KD explores how artificial intelligence is reshaping society, economies, and opportunity around the world.

We begin with the Vatican’s growing concerns about AI and the impact advanced technology may have on human dignity, work, and decision-making. As governments, institutions, and global leaders pay closer attention to AI, the conversation is moving beyond innovation and into questions about responsibility and long-term societal impact.

Next, we examine SoftBank’s proposed €75 billion investment in AI infrastructure across France and what it signals about the global race to build sovereign AI capabilities. KD discusses the growing demand for cloud, platform, security, networking, and reliability engineers as countries seek greater control over their technological futures.

We also break down how new wealth generated by the technology sector is contributing to rising housing costs in major markets like San Francisco, and why participation in the technology economy may become increasingly important for individuals and families seeking economic mobility.

In this episode’s Q&A, we cover how to choose the right tool for a project, the differences between dynamic and static testing, why software estimates are often wrong, how Known Exploited Vulnerabilities (KEVs) fit into cybersecurity programs, and why the technology industry creates so much wealth.

We close with a reminder to stay focused on your own mission, avoid distractions, and build the future you want to create.

Join BLI University: https://discord.gg/jRkGnQaDVq

Connect with Kevin Dowdy: https://www.linkedin.com/in/kevinldowdy

RSVP for I Self Express Walk: https://www.eventbrite.com/e/i-self-express-too-10th-annual-self-esteem-awareness-walk-tickets-1982640223279?aff=oddtdtcreator

CHAPTERS:

00:00 Introduction to Software Sundays Builders
00:29 The Pope's Stance on AI and Human Dignity
03:53 The Need for Mindful AI Development
06:35 SoftBank's Investment in AI Infrastructure
09:28 The Future of AI and Infrastructure Development
12:28 Opportunities in Sovereign AI and Global Talent
14:52 The Impact of Tech Wealth on Housing Markets
17:52 The Importance of Competing in Tech
19:09 Choosing the Right Tools for Development
26:30 Dynamic vs. Static Testing in Software
31:46 Challenges in Estimating Software Project Timelines
40:00 Understanding Known Exploited Vulnerabilities
45:05 Wealth Concentration in the Tech Industry
51:02 Mindset for Success in Tech
55:08 Community Announcements and Closing Thoughts

Build Learn Impact is on a mission to help you create wealth, opportunity, and ownership through technology.

#SoftwareSundays #ArtificialIntelligence #AI #Technology #SoftwareEngineering #CyberSecurity #TechCareers #Housing #TechIndustry #Innovation #Leadership #CloudComputing #Engineering #BuildLearnImpact #KEV #ThreatIntelligence #SoftBank #Vatican #FutureOfWork