In this conversation, Mehmet is joined by Gerald Beuchelt and Subu Rao, two cybersecurity leaders from Acronis, to unpack the evolving threat landscape, the rise of AI in both offense and defense, and why cyber resilience has become a board-level priority.

They break down what CISOs need to know, how MSPs can create new value, and what frameworks actually work in the real world. If you want a clear and practical blueprint for building resilience, this episode is for you.

👤 About the Guests

Gerald Beuchelt

Chief Information Security Officer at Acronis, with more than 14 years of experience securing global environments across multiple industries. Gerald leads cybersecurity, IT infrastructure, and corporate security strategy, with deep knowledge in AI-driven defense, risk management, and enterprise resilience.

https://www.linkedin.com/in/beuchelt/

Subu Rao

Senior Manager of Cybersecurity Solutions Strategy at Acronis, focused on cyber resilience for MSPs and mid-market organizations. Subu brings over 15 years of experience in identity security, cloud security, and resilience engineering across global security vendors.

https://www.linkedin.com/in/raos/

https://www.acronis.com/en/

💡 Key Takeaways

• Cyber resilience and cybersecurity are not the same. One focuses on protection, the other on recovery and adaptation.

• AI is already used by attackers and defenders. Ignoring it increases risk.

• MSPs have a major opportunity to monetize resilience, not just protection.

• Most breaches still start with basic failures like weak passwords and unpatched systems.

• Boards do not want CVE numbers. They want business risk in plain language.

• The right balance between risk appetite and risk tolerance shapes the entire security program.

• Backups alone are not enough. Tested, measurable recovery plans are essential.

• Availability is often the forgotten piece of the CIA triad.

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🎧 What Listeners Will Learn

• The current global threat landscape

• How AI is changing cyber offense and defense

• The difference between cybersecurity and cyber resilience

• What MSPs should do today to serve customers better

• How CISOs can communicate risk to non-technical boards

• Practical frameworks for resilience and business continuity

• Why regional exposure influences risk strategy

• The most common mistakes companies still make in 2025

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⏱️ Episode Highlights & Timestamps

00:00 Introduction and welcome

01:00 Meet Gerald and Subu

04:00 The real state of cyber threats today

05:30 Why basic hygiene failures still cause most breaches

08:30 How attackers are using AI

10:00 The future of automated SOCs

12:00 Are threat patterns different by geography

15:00 Why every company is a target

16:00 Cybersecurity vs cyber resilience explained in simple terms

18:00 How to build resilience without enterprise budgets

21:00 MSPs and the opportunity to lead resilience consulting

24:30 Understanding crown jewels and business impact

26:00 How Acronis-style failover models change the game

29:00 Where boards should start with security frameworks

32:00 Risk appetite vs risk tolerance

36:00 Why security cannot decide in isolation

40:00 Compliance, mandates, and real world frameworks

45:00 How MSPs can craft resilience offerings

48:00 Final advice for CISOs and MSPs

51:00 Closing thoughts and wrap up

In this episode, Mehmet sits down with Radhika Dutt, author of Radical Product Thinking, to explore why OKRs and traditional performance frameworks often collapse under the realities of modern work. Radhika introduces OLA, a new approach built on puzzle-solving, continuous learning, and adaptability — designed for today’s fast-moving product, engineering, and startup environments.

Together, they break down the hidden “product diseases,” the dangers of vanity metrics, the myth of extrinsic motivation, and why teams need clarity instead of big, fluffy vision statements. This conversation is a mindset reset for anyone leading teams, building products, or trying to scale sustainably.

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👤 About Radhika Dutt

Radhika Dutt is the author of Radical Product Thinking, an engineer by training, and a two-time founder. She built her first startup out of her MIT dorm room and has since become a leading voice on vision-driven product development. Radhika works with organizations around the world to help them escape the trap of short-term targets and build meaningful, world-changing products.

Find more about Radhika’s work here:

https://rdutt.com/

https://www.linkedin.com/in/radhika-dutt/

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✨ Key Takeaways

• Why OKRs work in theory but fail in most modern organizations

• How goal-driven cultures create “performance theater” instead of real progress

• The difference between extrinsic and intrinsic motivation

• Why fluffy vision statements confuse teams instead of inspiring them

• How to define real problems before jumping into solutions

• The OLA framework: objectives, hypotheses, learnings, adaptations

• How OLA drives alignment, clarity, and honest learning

• Why founders should stop copying big-company playbooks

• How to communicate results to investors without vanity metrics

• Why adaptation speed is the true competitive advantage

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🎧 What You’ll Learn

• How to replace rigid goal-setting with dynamic puzzle-solving

• How to build a product culture that values curiosity and experimentation

• How to avoid the biggest traps that kill innovation

• How AI hype influences bad decision-making and how to course-correct

• How leaders can create clarity without micromanaging

• How to apply OLA even if your company still uses OKRs

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⏱️ Episode Highlights & Timestamps

00:00 — Welcome and intro

01:00 — Radhika’s early story and the mistakes that inspired Radical Product Thinking

06:00 — Why motivation systems today actually kill motivation

08:00 — The problem with fluffy, generic vision statements

11:00 — Why OKRs create the wrong incentives

14:00 — How OKRs evolved from 1940s manufacturing

18:00 — Why modern work requires a different approach

23:00 — Introduction to OLA and how puzzle-setting works

26:00 — How to apply OLA in sales, product, and engineering

34:00 — Using OLA to bring clarity and innovation

39:00 — Speed, experimentation, and continuous learning

44:00 — How to communicate progress to boards and investors

49:00 — Why founders must drop ego and embrace honesty

54:00 — Final advice and how to connect with Radhika

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📚 Resources Mentioned

• Radical Product Thinking — Radhika’s book

• Free toolkits https://www.radicalproduct.com/

• OLA Toolkit (formerly OHL)

In this conversation, Jonathan breaks down the real state of AI adoption in GTM, why most revenue teams are still “stuck in the basics,” and how leaders can shift from dashboards to intelligence. He explains why CRM data hygiene is dead, how operational AI works behind the scenes, and what it truly means to run an AI native revenue team.

From first principles thinking to reinvented GTM playbooks, this is a roadmap for founders, CROs, RevOps leaders, and anyone building modern revenue organizations.

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👤 About Jonathan Kvarfordt

Jonathan Kvarfordt is the VP of GTM Strategy & Marketing at Momentum.io. Known as “Coach” across the industry, he is the creator of GTM AI Academy with more than 10,000 participants, a university instructor, a strategic advisor, and a practitioner at the intersection of GTM, AI, and automation.

He works hands-on with leaders to operationalize AI, eliminate friction in revenue processes, and build next generation GTM systems.

https://www.linkedin.com/in/jmkmba/

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💡 Key Takeaways

• AI adoption is overstated

Despite hype, only about 7 percent of companies operate with real “operational AI.”

• CRM data entry is the most underrated automation

AI driven CRM automation unlocks insights for reps, managers, and executives.

• The new GTM OS lives in tools like Slack

Revenue teams are moving away from 20 tabs into one unified operating layer.

• First principles thinking matters more than tools

Start with initiatives and gaps, not buying random AI tools.

• Human skills become more important, not less

The future seller is a strategist, negotiator, and relationship builder.

• Small teams have the biggest advantage

Fewer processes mean faster reinvention and cleaner AI powered workflows.

• AI native pipeline reviews are strategic

Not data entry sessions. Think signals, intelligence, and deal momentum.

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🎧 What You Will Learn

• Why GTM fundamentals are still broken despite AI hype

• How AI changes forecasting, deal reviews, and revenue leadership

• The difference between “time saving AI” and “amplification AI”

• How to build AI native workflows inside your GTM stack

• Why founders should start automating earlier than they think

• Which sales skills matter most in the AI era

• Why CRM systems might look completely different in the future

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⏱ Episode Highlights (Timestamps)

00:00 – Welcome and intro

01:00 – Jonathan’s journey and new VP role

03:00 – The truth about AI adoption in GTM

05:00 – Where companies struggle most with AI

07:00 – From dashboards to intelligence

10:00 – Why AI tools fail without clear initiatives

12:00 – Slack as the new operating system for GTM

15:00 – Why RevOps teams over engineer tech stacks

17:00 – CRM hygiene vs operational AI

19:00 – Time as the highest leverage automation area

21:00 – How AI shifts GTM playbooks

24:00 – The rise of AI powered buyer research

26:00 – The new pipeline review

29:00 – The most underrated automation in GTM

31:00 – Real win/loss data and bias removal

33:00 – What skills sellers need in the AI era

36:00 – “Let us go sell” culture and eliminating busywork

37:00 – When founders should start automating

39:00 – Reinvent vs optimize vs amplify

41:00 – The idea behind Jonathan’s book Ignite

44:00 – Will CRM even exist in the future?

48:00 – Which parts of sales AI might fully replace

50:00 – First principles thinking and GTM

52:00 – Final advice and where to find Jonathan

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📚 Resources Mentioned

• Momentum.io

• GTM AI Academy

• The book Ignite your GTM With AI: https://www.amazon.com/dp/B0FRXGSDSN