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Beawre presentation - Risk management

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Beawre pitch

  1. 1. Transforming Risks into Opportunities Victor Muntés-Mulero, CEO Tirant Lo Blanc 35, Sant Feliu de Llobregat, Barcelona, Spain victor.muntes@beawre.com +34 647 471 814
  2. 2. Continuous Risk Control is critical to prevent unwanted incidents July 24th 2013 is the date for the worse railway accident in Spain since 1944 Nuclear fusion at ITER project Self-driven smart vehicles Do you know what all these pictures have in common?
  3. 3. July 24th 2013 is the date for the worse railway accident in Spain since 1944. It could have been prevented with better risk control.
  4. 4. Berlin Brandenburg Airport Original Opening Date: Oct 30th 2011. Original cost: €2.83 billion Last opening date announcement: Oct 31st 2020. Current cost estimation: > €7 billion
  5. 5. ITER nuclear fusion project • Originally foreseen to switch on in 2016 and cost around 5bn euros • Current start-up date pushed back to 2025. Cost around 20bn euros.
  6. 6. TellU: eHeath through IoT: requirements for risk management: • No tools in the market for continuous risk management • No risk management tools connected to DevOps tools • Need to embed privacy into the picture​ (GDPR) • Report for ISO 27001
  7. 7. Systems and processes complexity grows, human control is the new risk
  8. 8. Gap between legal and technical requirements
  9. 9. There are no tools to effectively monitor mitigation efficiency
  10. 10. Risk management is multi-stakeholder and assets need to be understood in context
  11. 11. Industry is more agile and dynamic. Assessing risk at design time only is obsolete. Continuously monitoring risk evolution is the challenge…
  12. 12. Managing risks in complex projects goes beyond human capacity Beyond human skills COMPLEX Decision- making is hard DYNAMIC URGENT Heterogeneous data by contract
  13. 13. Beawre helps your teams be smarter at managing risks, collaboratively and in real time Simplify complexity by automating risk surveillance using AI SIMPLIFY Enhance awareness leveraging data from third-party tools ENABLE Control risks continuously in real time LEARN
  14. 14. Disrupting risk control technology... AI-driven Time-stamped event sequence matching and explainable ML algorithms Continuous Near real-time continuous risk control on evolving business processes Actionable Knowledge bases to support engineers being compliant with legal obligations Awarded two H2020 research projects (~0.5M €) by the European Commission as leading experts on risk management.
  15. 15. Customer Engineer / Client Subcontractors Risk Control SaaS SaaS-based business model TRUSTED BY
  16. 16. We enable your company to execute complex projects that may be too risky otherwise Protect your customers and your organization through early evidence-based detection of security and privacy issues Prioritize work based on risk level, focus on relevant tasks Avoid delays Predict and control business processes performance Avoid, monitor and predict unwanted incidents: law suits, delays, contract violations, quality issues, ... Reduce impact produced by incidents in your system Protect your budget Optimize and reduce your software development process Prove strict compliance with continuous risk management requirements (ISO 27001, GDPR, etc) Facilitate auditing through automatic reports Prove compliance
  17. 17. Challenges
  18. 18. System complexity increases Architectures, DFDs, BPMN, etc Automation becomes more relevant Model-driven approches may facilitate risk control
  19. 19. Multiple ways to describe your system/process Define evolving risks over business processes Automated vulnerability detection for security and privacy threats
  20. 20. Systems are not static, but highly dynamic Evidence-based risk assessment (both to monitor mitigation implementation and effectiveness) DevOps-oriented AI-driven prediction
  21. 21. DevOps Risk Control C O D E BUILD TEST RELEASE & DEPLOY O P E R A T E Continuous Risk Management (business and non-functional risks)
  22. 22. Trustworthiness is a multidimensional concept Security, Privacy, Safety present contradictory requirements too often
  23. 23. Example in the automotive sector
  24. 24. Gap between legal and technical requirements GDPR as an example
  25. 25. Privacy and GDPR GDPR discusses data protection by design and by default Technologies are not consolidated yet and mixing legal requirements with a deep technical understanding is challenging GDPR introduces a risk- based approach An organization may fail to comply with GDPR even if no breach happens, since they must have taken protective measures beforehand
  26. 26. Risk management involves a growing number of stakeholders Kanban approach Risk management in supply chains Federated risk management
  27. 27. S1: TSIS Assets Definition (e.g. DFD, Architecture, etc) S2: Threats Identification S3: Risks Assessment (includes risk analysis and evaluation) S4: Definition of Treatments S5: Residual Risk Assessment S6: Treatment Implementation Control A P R A R P A V R A V R P A O V P O Risk Management Owner P Product Owner A Architect V Developer R Risk Analist (QA dept, CSO, Security Expert)
  28. 28. Victor Muntés-Mulero, CEO victor.muntes@beawre.com +34 647 471 814 @BeawreRisk
  29. 29. TEAM 38 patents (19 granted & 19 pending) (10+ using AI) PATENTS 21 years of combined experience in risk management EXPERIENCE 20+ years of experience managing people to execute IT projects LEADERSHIP Experience supporting an Accelerator for Lean Start Ups (20+) ACCELERATOR
  30. 30. TEAM TEAM Elena • PhD Computer Science (Large Data Management) • Track record with technology companies & start-ups • VP of Research at CA Technologies (2011-2019) • 70+ scientific publications, 1 book, 5 book chapters • Technologist with experience in architecting, supporting and running critical systems and applications • 15+ years of experience in information technology Daniel Ramon Victor CEO & Co-founder Jacek CTO & Co-founder Software Engineer Senior Operations Consultant Project Manager

Beawre presentation - Risk management

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