Convergence of Chaos Engineering and Revolutionary Technologies

Transcript

2. Convergence of Chaos Engineering and Revolutionary Technologies Yury Niño Roa
3. The future 60 years ago ...
4. We are living in there ...
5. Topics to COVER CHAOS ENGINEERING • Internet of Things • Artificial Intelligence • Human Augmentation • Cybersecurity • Conceptual Model
6. Internet of Things
7. Internet of Things Connecting people and objects. It is a network of physical and virtual objects with identities, attributes, personalities and interfaces that are integrated in a transparent way. Kevin Ahston
8. Challenge 1: Resilience A key aspect that has to be addressed is the possibility to recover the network and its services in case of faults, without human intervention.
9. Challenge 2: Security With current IoT architectures, once a single device in a network is compromised, it can be used to disrupt the behavior of other devices on the same network. https://ieeexplore.ieee.org/document/9093828
10. Challenge 3: Reliability The reliability and availability of the IoT is not only a matter of a failure rate of things, but also protocols, standardization, logistics support and other influences.
11. Use Chaos Engineering to protect networks and allow to have personalized data. What do we control? We need all pieces are resilient, secure and reliable ...
12. Attack! Devices & Networks Generate Slow Responses Create Cascade Failures Intercept the Integration Points Test with Users
13. Artificial Intelligence
14. Artificial Intelligence Intelligence demonstrated by machines. Area of computer science that studies how machines can perform tasks that would normally require a sentient agent.
15. Artificial intelligence is being used for providing resilience and reliability but is AI reliable a resilient?
16. Challenge 1: Data Big Data is a form of AI. Organizations are using it to manage the customer experience, transform their products and deliver digital services. This data must be reliable!
17. Challenge 2: Machine Learning Robust ML systems and hardware architectures are required to generate reliable and trustworthy results in the presence of hardware-level faults while also preserving security and privacy.
18. Challenge 3: Natural Language Processing Since computers exist people have tried to teach them how to process human language, however, the inconsistency and volatility of human language turns NLP into a complex task susceptible to fail.
19. Attack! Architectures & Models Test models injecting failures. Chaos as functions. Use Artificial Intelligence to classify post mortems!
20. Tulp Classify Postmortems with smart techniques.
21. Cybersecurity
22. Cybersecurity Security and Reliability are often hidden in customers expectations. Cyberattacks are more about manipulating vulnerabilities in human psychology than the adversary's technological sophistication.
23. Challenge 1: Virus Evolution Computer Viruses are evolving! It is hard to recognize relevant patterns that have been seen previously. The theory behind Chaos Engineering could be useful here.
24. Challenge 2: Fuzz Testing Reliability is a core pillar of security testing and offensive security testers (Red Teams) will often try to exploit reliability failures to penetrate systems.
25. Challenge 3: Human Factors Human Factors in cybersecurity are perhaps the biggest challenge when building an effective threat prevention strategy. Humans operate differently when they expect things to fail.
26. Security Chaos Engineering It is the identification of security control failures through proactive experimentation to build confidence in the system’s ability to defend against malicious conditions in production.
27. Attack! Security Controls Latency on security controls. Collisions in a shared IAM role policy. Shutdown an API gateway. Disable MFA.
28. Human Augmentation
29. Human Augmentation Advanced human augmentation provides a human-centred perspective on technology design. It builds upon earlier technological concepts such as ubiquitous computing, wearable computing, autonomous systems and ambient intelligence. https://www.researchgate.ne
30. Disclaimer: Automation Distinguish between automation which is defined as using science and technology to improve the performance of a task, and human augmentation as using science and technology to improve a human.
31. Challenge 1: Reliability Augments go beyond what a user is capable of doing on their own. An exoskeleton that can lift 200 pounds must not fail while someone is wearing it.
32. Challenge 2: Safety If someone will work closely and frequently with a device (or potentially wear or implant it), safety is an important concern. Augments need to be tested with rigorous safety standards in all facets.
33. Attack! Biology & Technology Study the consequences of a wrong design. Establish resilience patterns for human-centric attacks.
34. Thank you! @yurynino https://www.yurynino.dev/