---
title: "International Conference on AI, Blockchain and"
description: "2nd International Conference on AI, Blockchain and Cybersecurity is a professional conference in Osaka, Japan, May 17–19, 2027."
url: "https://modeldiplomat.com/conferences/professional/2nd-international-conference-on-ai-blockchain-and-cybersecurity-2027"
---

# 2nd International Conference on AI, Blockchain and Cybersecurity

May 17–19, 2027[Osaka, Japan](https://www.google.com/maps/search/?api=1\&query=Osaka%2C%20Japan)In-person

[Registration open](https://cognitionconferences.com/cybersecurity/)

The 2nd International Conference on AI, Blockchain and Cybersecurity, held in Osaka, JPN, serves as a crucial forum for experts to discuss the convergence of artificial intelligence, blockchain technology, and cybersecurity. This event brings together researchers, industry professionals, and policymakers to explore advancements, challenges, and future directions in these rapidly evolving fields. The conference aims to foster collaboration and knowledge exchange, addressing the complex interplay between these technologies and their implications for global security and innovation.

## Committees & topics

- Topics

  Artificial Intelligence in Cyber Threat Detection · Machine Learning for Cyber Defense Systems · Blockchain Technology and Secure Architectures · Cryptography and Secure Communication Protocols · Network Security and Intrusion Detection · Cloud Security and Secure Virtualization · Internet of Things Security and Privacy · Cybersecurity for Smart Cities and Critical Infrastructure

## Why it matters

The intersection of AI, blockchain, and cybersecurity represents a frontier in technological development with profound implications for international relations, economic stability, and national security. AI offers unprecedented capabilities for threat detection and response, but also introduces new attack vectors and ethical dilemmas. Blockchain technology, while promising for secure data management and decentralized systems, presents its own set of vulnerabilities and regulatory challenges. Cybersecurity, as the overarching discipline, must adapt to these innovations, developing robust defenses against increasingly sophisticated threats.

Understanding these dynamics is critical for policymakers and strategists. The discussions at this conference will likely touch upon the development of \<glossary-link slug="adaptive-cyber-defense">[adaptive cyber defense](https://modeldiplomat.com/learn/glossary/adaptive-cyber-defense)\</glossary-link> mechanisms, the implications of an \<glossary-link slug="artificial-intelligence-arms-race">[artificial intelligence arms race](https://modeldiplomat.com/learn/glossary/artificial-intelligence-arms-race)\</glossary-link>, and the potential for \<glossary-link slug="autonomous-weapons-systems">autonomous weapons systems\</glossary-link>. The insights shared can inform national strategies for protecting \<glossary-link slug="critical-information-infrastructure">critical information infrastructure\</glossary-link> and shaping international norms around cyber warfare and technological governance. The conference provides a platform to address these complex issues, contributing to a more secure and resilient digital future.

## How to prepare

For those attending, preparing for this conference involves more than just understanding the technical aspects of AI, blockchain, and cybersecurity. It requires a strategic approach to engagement, recognizing the diverse perspectives and interests that will be present. Consider the geopolitical implications of these technologies, particularly how different nations, such as USA, CHN, and RUS, are investing in and leveraging them for strategic advantage. Understanding these broader contexts will enrich your participation and allow for more nuanced discussions.

Attendees should also consider the ethical and regulatory frameworks surrounding these technologies. Discussions will likely delve into the challenges of establishing \<glossary-link slug="cyber-deterrence">[cyber deterrence](https://modeldiplomat.com/learn/glossary/cyber-deterrence)\</glossary-link> in an era of advanced AI threats and the role of international cooperation in preventing cyber conflicts. Reflect on how your own work or research fits into these larger narratives and be prepared to articulate your perspective. Engaging with the diverse viewpoints presented at the conference, from technical experts to policy advisors, will be key to maximizing the learning and networking opportunities.

## Country perspectives

Where the most-relevant 4 countries stand on the core issues in play. Click through for the full country profile.

[Japan](https://modeldiplomat.com/country/japan)

[A key player in technological innovation, JPN is focused on leveraging AI and blockchain for economic growth and societal benefit, while also prioritizing robust cybersecurity measures.](https://modeldiplomat.com/country/japan)

[Role in topic](https://modeldiplomat.com/country/japan)

[As the host nation, JPN is a significant contributor to advancements in AI, blockchain, and cybersecurity. The country has a strong emphasis on technological development and is actively exploring how these technologies can enhance its industrial competitiveness and national security. JPN's perspective often involves balancing innovation with regulatory oversight and international cooperation to ensure responsible technological deployment.](https://modeldiplomat.com/country/japan)

[United States](https://modeldiplomat.com/country/united-states)

[A global leader in technology, the USA views AI, blockchain, and cybersecurity as critical for national security, economic prosperity, and maintaining a competitive edge.](https://modeldiplomat.com/country/united-states)

[Role in topic](https://modeldiplomat.com/country/united-states)

[The USA is at the forefront of research and development in AI, blockchain, and cybersecurity. Its approach is often characterized by significant investment in defense and intelligence applications, alongside efforts to foster private sector innovation. The USA's perspective includes concerns about foreign technological competition, the protection of intellectual property, and the establishment of international norms for cyberspace.](https://modeldiplomat.com/country/united-states)

[China](https://modeldiplomat.com/country/china)

[A rapidly advancing technological power, CHN sees AI, blockchain, and cybersecurity as central to its national strategy, aiming for global leadership in these fields.](https://modeldiplomat.com/country/china)

[Role in topic](https://modeldiplomat.com/country/china)

[CHN has made substantial investments in AI, blockchain, and cybersecurity, viewing them as essential for its economic development, social governance, and military modernization. CHN's perspective often emphasizes state-led innovation, data sovereignty, and the development of indigenous technological capabilities. Its approach can raise concerns among other nations regarding data privacy and the potential for technological authoritarianism.](https://modeldiplomat.com/country/china)

[Russia](https://modeldiplomat.com/country/russia)

[A significant actor in cyber warfare, RUS focuses on leveraging AI and cybersecurity for strategic advantage and national defense, often with an emphasis on information security.](https://modeldiplomat.com/country/russia)

[Role in topic](https://modeldiplomat.com/country/russia)

[RUS has a well-documented history of engagement in cyberspace, particularly in areas related to information security and cyber operations. Its perspective on AI and cybersecurity is heavily influenced by national security considerations, including the development of advanced cyber capabilities for defense and intelligence purposes. RUS often advocates for state control over internet infrastructure and emphasizes the importance of digital sovereignty.](https://modeldiplomat.com/country/russia)

## Topics & background

The background behind each topic and the actors that shape it.

1

### Artificial Intelligence in Cyber Threat Detection

The use of artificial intelligence to detect cyber threats has evolved from early signature-based intrusion detection in the 1990s into today's machine-learning-driven security operations. As attack surfaces expanded with cloud adoption, mobile computing, and remote work, the volume and velocity of telemetry outpaced human analysts, prompting vendors and governments to integrate AI into security information and event management (SIEM), endpoint detection and response (EDR), and managed detection services. High-profile incidents such as SolarWinds (2020) and the Colonial Pipeline ransomware attack (2021) accelerated adoption by demonstrating how stealthy, polymorphic threats could evade traditional rule-based defenses. The core dispute centers on reliability, explainability, and dual-use risk. AI detection models can surface novel threats but also generate false positives, suffer from adversarial evasion, and be repurposed offensively. National strategies diverge: the United States and United Kingdom emphasize public-private threat intelligence sharing and frameworks like NIST's AI Risk Management Framework; the European Union has folded high-risk security AI into the AI Act; China has issued generative AI rules tying detection capabilities to state oversight. Coordination at the UN Open-Ended Working Group on ICTs remains the principal multilateral forum, though consensus on norms for AI-enabled defensive and offensive cyber operations is limited. Today the field is shifting toward large-model-assisted security analytics, autonomous response, and the defense of AI systems themselves against data poisoning and model theft. Debate continues over standards for evaluating detection efficacy, mandatory incident reporting, and the legitimacy of AI-driven 'active defense' across borders.

Key players

- [United States](https://modeldiplomat.com/country/united-states)

  [Leading market for AI security tooling and host of NIST AI RMF and CISA threat-sharing programs](https://modeldiplomat.com/country/united-states)
- [China](https://modeldiplomat.com/country/china)

  [Major investor in AI cyber capabilities with state-led detection and content-monitoring regimes](https://modeldiplomat.com/country/china)
- [United Kingdom](https://modeldiplomat.com/country/united-kingdom)

  [Operates NCSC and pioneers AI-augmented national threat intelligence](https://modeldiplomat.com/country/united-kingdom)
- [Israel](https://modeldiplomat.com/country/israel)

  [Hub for AI-driven cybersecurity firms and offensive-defensive research](https://modeldiplomat.com/country/israel)
- [Russia](https://modeldiplomat.com/country/russia)

  [Significant state cyber actor shaping the threat landscape AI tools are built to detect](https://modeldiplomat.com/country/russia)
- [Germany](https://modeldiplomat.com/country/germany)

  [EU anchor implementing AI Act provisions on high-risk security systems](https://modeldiplomat.com/country/germany)

2

### Machine Learning for Cyber Defense Systems

Machine learning has moved from experimental anomaly detection in the 2000s to a core component of cyber defense architectures across governments and enterprises. Early supervised classifiers for spam and malware gave way to deep learning for binary analysis, user and entity behavior analytics, and automated triage in security operations centers. The proliferation of ransomware-as-a-service, supply-chain compromises, and nation-state APTs has pushed defenders to embrace ML for scale, while attackers increasingly leverage the same techniques for phishing generation, password cracking, and evasion. The central policy questions concern adversarial robustness, model governance, and international cooperation. Adversarial ML attacks—evasion, poisoning, and model inversion—are well documented in research, yet operational standards lag. MITRE's ATLAS framework, ENISA guidance, and NIST's adversarial ML taxonomy have emerged as reference points, but binding rules are scarce. Export controls on advanced AI compute, notably U.S. measures targeting frontier chips, have intersected with cyber defense by shaping which states can train and deploy large defensive models domestically. Current debate focuses on the autonomy of defensive systems—how far ML should be permitted to act without human authorization—on data-sharing constraints that limit cross-border model training, and on whether multilateral confidence-building measures should cover defensive AI as well as offensive cyber tools.

Key players

- [United States](https://modeldiplomat.com/country/united-states)

  [Sets technical baselines through NIST and deploys ML defense at federal scale via CISA](https://modeldiplomat.com/country/united-states)
- [China](https://modeldiplomat.com/country/china)

  [Builds sovereign ML defense stack and competes in frontier AI capability](https://modeldiplomat.com/country/china)
- [United Kingdom](https://modeldiplomat.com/country/united-kingdom)

  [Advances AI safety and security research through the AI Safety Institute and NCSC](https://modeldiplomat.com/country/united-kingdom)
- [France](https://modeldiplomat.com/country/france)

  [Drives EU positions through ANSSI and supports sovereign ML cyber tooling](https://modeldiplomat.com/country/france)
- [South Korea](https://modeldiplomat.com/country/south-korea)

  [Major operator of ML-driven defense for highly digitized critical sectors](https://modeldiplomat.com/country/south-korea)
- [Israel](https://modeldiplomat.com/country/israel)

  [Leading exporter of ML-based cyber defense products](https://modeldiplomat.com/country/israel)

3

### Blockchain Technology and Secure Architectures

Blockchain emerged with Bitcoin in 2009 as a decentralized ledger securing transactions through cryptographic hashing and distributed consensus. Subsequent platforms—Ethereum, permissioned ledgers like Hyperledger, and enterprise variants—extended the model to smart contracts, supply chain provenance, identity, and central bank digital currencies. Governments initially treated the technology with skepticism due to its association with illicit finance, but have progressively recognized its potential for tamper-evident records, secure data exchange, and resilient infrastructure. The core disputes involve security assumptions, regulation, and sovereignty. High-value exploits of bridges and DeFi protocols, the collapse of FTX, and persistent ransomware payment flows have driven the FATF travel rule, the EU's MiCA regulation, and U.S. enforcement actions. Meanwhile, China has banned public cryptocurrencies but invested heavily in permissioned blockchain infrastructure and the digital yuan; the EU is piloting wholesale CBDC settlement; the United States is debating stablecoin legislation. Quantum computing poses a longer-term threat to the elliptic-curve cryptography underpinning most chains, prompting research into post-quantum blockchain designs. Today's agenda includes standardizing secure smart-contract development, formal verification, key management for institutional custody, and interoperability between permissioned and public networks while preserving auditability and privacy.

Key players

- [United States](https://modeldiplomat.com/country/united-states)

  [Largest market for blockchain firms and primary regulator of global stablecoin flows](https://modeldiplomat.com/country/united-states)
- [China](https://modeldiplomat.com/country/china)

  [Leader in permissioned blockchain infrastructure and CBDC deployment](https://modeldiplomat.com/country/china)
- [Singapore](https://modeldiplomat.com/country/singapore)

  [Hub for regulated digital asset architectures and tokenization pilots](https://modeldiplomat.com/country/singapore)
- [Switzerland](https://modeldiplomat.com/country/switzerland)

  [Pioneer of crypto-friendly regulation through 'Crypto Valley' and FINMA guidance](https://modeldiplomat.com/country/switzerland)
- [Japan](https://modeldiplomat.com/country/japan)

  [Early adopter of licensed exchanges and stablecoin rules under the FSA](https://modeldiplomat.com/country/japan)
- [United Arab Emirates](https://modeldiplomat.com/country/united-arab-emirates)

  [Builds regulatory free zones (VARA, ADGM) to anchor secure blockchain architectures](https://modeldiplomat.com/country/united-arab-emirates)

4

### Cryptography and Secure Communication Protocols

Modern cryptography underpins virtually all digital communication, from TLS and HTTPS to end-to-end-encrypted messaging, VPNs, and military command-and-control. Standardization has historically been led by NIST in coordination with academic cryptographers and bodies like the IETF and ISO. The Snowden disclosures in 2013 catalyzed mass adoption of encryption across the public internet, while subsequent years saw protocol modernization through TLS 1.3, QUIC, and the rise of Signal-protocol-based messaging. Two issues now dominate. First, the transition to post-quantum cryptography: NIST finalized initial PQC standards (ML-KEM, ML-DSA, SLH-DSA) in 2024, and 'harvest now, decrypt later' concerns are driving governments to mandate migration timelines for critical systems. Second, the long-running 'crypto wars' over lawful access—exemplified by debates around the EU's CSAM-scanning proposal, the UK Online Safety Act, and U.S. legislative efforts—pit law enforcement and child-safety arguments against the cryptographic consensus that exceptional access weakens security for all users. State practice is fragmenting: some jurisdictions restrict or license cryptography (e.g., China's Commercial Cryptography Law), others mandate strong defaults (e.g., NIS2 in the EU). Multilateral coordination on PQC migration, secure messaging interoperability, and export controls under the Wassenaar Arrangement remains the central forum for managing these tensions.

Key players

- [United States](https://modeldiplomat.com/country/united-states)

  [Sets global cryptographic standards through NIST and leads PQC standardization](https://modeldiplomat.com/country/united-states)
- [China](https://modeldiplomat.com/country/china)

  [Maintains separate commercial cryptography regime and invests in quantum communications](https://modeldiplomat.com/country/china)
- [United Kingdom](https://modeldiplomat.com/country/united-kingdom)

  [Pushes lawful-access requirements via the Online Safety Act and Investigatory Powers Act](https://modeldiplomat.com/country/united-kingdom)
- [Germany](https://modeldiplomat.com/country/germany)

  [Advocates strong encryption defaults through BSI and shapes EU positions](https://modeldiplomat.com/country/germany)
- [Russia](https://modeldiplomat.com/country/russia)

  [Mandates domestic cryptographic standards (GOST) and restricts foreign protocols](https://modeldiplomat.com/country/russia)
- [Netherlands](https://modeldiplomat.com/country/netherlands)

  [Home to leading PQC research and IETF protocol standardization contributors](https://modeldiplomat.com/country/netherlands)

5

### Network Security and Intrusion Detection

Network security as a discipline emerged with the commercialization of the internet in the 1990s, when firewalls and signature-based intrusion detection systems (IDS) became standard. Worms like Code Red and Slammer, and later targeted intrusions such as Operation Aurora and the Mandiant APT1 disclosures, pushed organizations beyond perimeter defense to layered architectures including IPS, network detection and response (NDR), and zero-trust segmentation. The U.S. Executive Order 14028 (2021) on improving cybersecurity formalized zero trust as federal policy, and the EU's NIS2 Directive extended similar obligations across essential and important entities. Core disputes involve cross-border monitoring, encrypted traffic inspection, and the security of network equipment supply chains. Restrictions on Huawei and ZTE in 5G core networks across the United States, United Kingdom, and several EU members illustrate the geopolitical dimension. Encrypted DNS (DoH, DoT) and QUIC complicate traditional intrusion detection, sparking debate between privacy advocates and enterprise defenders. Meanwhile, ransomware operators routinely exploit edge devices—VPNs, firewalls, and routers—highlighting that intrusion detection must extend to the security tools themselves. Current priorities include software bills of materials (SBOMs), coordinated vulnerability disclosure, and multilateral norms against attacks on critical infrastructure being negotiated at the UN OEWG on ICTs.

Key players

- [United States](https://modeldiplomat.com/country/united-states)

  [Drives zero-trust adoption and leads attribution of state-sponsored network intrusions](https://modeldiplomat.com/country/united-states)
- [China](https://modeldiplomat.com/country/china)

  [Central to debates over network equipment supply-chain trust and attribution](https://modeldiplomat.com/country/china)
- [Russia](https://modeldiplomat.com/country/russia)

  [Persistent source of intrusions targeting government and infrastructure networks](https://modeldiplomat.com/country/russia)
- [United Kingdom](https://modeldiplomat.com/country/united-kingdom)

  [Operates NCSC's Active Cyber Defence and shaped Huawei restrictions](https://modeldiplomat.com/country/united-kingdom)
- [Germany](https://modeldiplomat.com/country/germany)

  [Implements NIS2 across the EU's largest industrial base via BSI](https://modeldiplomat.com/country/germany)
- [North Korea](https://modeldiplomat.com/country/north-korea)

  [State actor responsible for financially motivated network intrusions worldwide](https://modeldiplomat.com/country/north-korea)

6

### Cloud Security and Secure Virtualization

The migration of government and enterprise workloads to cloud platforms—dominated by AWS, Microsoft Azure, Google Cloud, and regional providers like Alibaba Cloud—has reshaped cybersecurity. Virtualization, containerization (Docker, Kubernetes), and serverless computing introduced new isolation boundaries and new classes of vulnerabilities, including hypervisor escapes, side-channel attacks like Spectre and Meltdown (2018), and misconfigured storage exposing massive data troves. The shared-responsibility model places infrastructure security on providers while leaving configuration and identity management to customers, a division that continues to produce high-impact incidents. Policy debate centers on data sovereignty, lawful access, and concentration risk. The EU's GAIA-X initiative, France's SecNumCloud and 'cloud de confiance' label, and India's data localization rules reflect concerns about extraterritorial reach of U.S. law (notably the CLOUD Act). China requires foreign cloud services to operate via domestic joint ventures. At the same time, FedRAMP in the United States and the EU Cybersecurity Certification Scheme for Cloud Services (EUCS) aim to standardize assurance levels, with disagreement over sovereignty requirements stalling EUCS finalization. Current issues include confidential computing and trusted execution environments, post-quantum readiness of cloud cryptography, secure-by-design Kubernetes deployments, and the security implications of AI workloads concentrated on a small number of hyperscale platforms.

Key players

- [United States](https://modeldiplomat.com/country/united-states)

  [Home to the three dominant hyperscalers and sets FedRAMP baseline](https://modeldiplomat.com/country/united-states)
- [China](https://modeldiplomat.com/country/china)

  [Hosts major sovereign cloud providers and enforces domestic data rules](https://modeldiplomat.com/country/china)
- [France](https://modeldiplomat.com/country/france)

  [Champions European cloud sovereignty via SecNumCloud and EUCS debates](https://modeldiplomat.com/country/france)
- [Germany](https://modeldiplomat.com/country/germany)

  [Largest EU cloud market and key voice on BSI C5 standards](https://modeldiplomat.com/country/germany)
- [India](https://modeldiplomat.com/country/india)

  [Imposes data localization shaping global cloud architectures](https://modeldiplomat.com/country/india)
- [United Kingdom](https://modeldiplomat.com/country/united-kingdom)

  [Operates G-Cloud framework and influences cloud assurance standards](https://modeldiplomat.com/country/united-kingdom)

7

### Internet of Things Security and Privacy

The Internet of Things expanded rapidly in the 2010s as consumer devices, industrial sensors, medical equipment, and vehicles became network-connected. Security weaknesses—default credentials, unpatched firmware, and minimal hardening—were demonstrated dramatically by the Mirai botnet in 2016, which weaponized IoT devices to take down major internet services. Subsequent incidents involving connected cameras, smart locks, and industrial control systems reinforced concerns that IoT security lags far behind the pace of deployment. Regulatory responses have multiplied. The U.S. IoT Cybersecurity Improvement Act (2020) and the FCC's Cyber Trust Mark, the UK's Product Security and Telecommunications Infrastructure Act (PSTI, 2024), the EU's Cyber Resilience Act (2024) and Radio Equipment Directive delegated act, and Singapore's Cybersecurity Labelling Scheme all impose security baselines on connected products. Privacy frameworks—GDPR, India's DPDP Act, China's PIPL—govern the data IoT devices collect. Yet enforcement and cross-border harmonization remain weak, and many low-cost devices ship from jurisdictions outside these regimes. Key unresolved questions include mandatory vulnerability disclosure, support-lifetime obligations, secure-by-default requirements, and how to manage end-of-life devices that remain online but unpatched. Industrial IoT and medical IoT raise additional safety-of-life concerns.

Key players

- [United States](https://modeldiplomat.com/country/united-states)

  [Implements IoT labeling and federal procurement security requirements](https://modeldiplomat.com/country/united-states)
- [China](https://modeldiplomat.com/country/china)

  [World's largest manufacturer of consumer IoT devices](https://modeldiplomat.com/country/china)
- [United Kingdom](https://modeldiplomat.com/country/united-kingdom)

  [First major jurisdiction to enforce baseline consumer IoT security via PSTI](https://modeldiplomat.com/country/united-kingdom)
- [Germany](https://modeldiplomat.com/country/germany)

  [Anchors EU Cyber Resilience Act implementation and industrial IoT standards](https://modeldiplomat.com/country/germany)
- [Japan](https://modeldiplomat.com/country/japan)

  [Pioneered active IoT scanning (NOTICE) to identify insecure devices](https://modeldiplomat.com/country/japan)
- [Singapore](https://modeldiplomat.com/country/singapore)

  [Operates the Cybersecurity Labelling Scheme adopted as a regional model](https://modeldiplomat.com/country/singapore)

8

### Cybersecurity for Smart Cities and Critical Infrastructure

Smart-city initiatives integrating traffic systems, utilities, public safety sensors, and citizen services with cloud and AI platforms accelerated in the 2010s, paralleling the digitization of critical infrastructure in energy, water, transport, and health. The 2015 and 2016 attacks on Ukraine's power grid, the 2021 Colonial Pipeline ransomware incident, the Oldsmar water-treatment intrusion, and repeated attacks on hospitals during the COVID-19 pandemic illustrated the systemic risks of converging operational technology (OT) with IT networks. Governments have responded with sector-specific mandates: U.S. TSA pipeline directives and CIRCIA reporting requirements, the EU's NIS2 and CER Directives, Japan's Economic Security Promotion Act, and Singapore's Cybersecurity Act covering critical information infrastructure. The UN Open-Ended Working Group on ICTs has reaffirmed that international law applies in cyberspace and that states should not knowingly allow attacks on critical infrastructure from their territory, though attribution and enforcement remain contested. Smart-city deployments raise additional concerns about mass surveillance, vendor lock-in, and the security of foreign-supplied components, particularly camera and networking equipment. Current debates focus on OT-specific intrusion detection, secure-by-design procurement for municipal systems, resilience and recovery planning, public-private threat sharing, and human-rights safeguards for sensor-rich urban environments.

Key players

- [United States](https://modeldiplomat.com/country/united-states)

  [Coordinates national critical infrastructure protection through CISA and sectoral agencies](https://modeldiplomat.com/country/united-states)
- [China](https://modeldiplomat.com/country/china)

  [Largest exporter of smart-city platforms and surveillance infrastructure](https://modeldiplomat.com/country/china)
- [Russia](https://modeldiplomat.com/country/russia)

  [Linked to high-profile attacks on energy and industrial infrastructure](https://modeldiplomat.com/country/russia)
- [Ukraine](https://modeldiplomat.com/country/ukraine)

  [Frontline case study for defending critical infrastructure under sustained cyberattack](https://modeldiplomat.com/country/ukraine)
- [Singapore](https://modeldiplomat.com/country/singapore)

  [Model jurisdiction for smart-nation security governance under the Cybersecurity Act](https://modeldiplomat.com/country/singapore)
- [Israel](https://modeldiplomat.com/country/israel)

  [Leader in OT and industrial-control-system security technology](https://modeldiplomat.com/country/israel)

## Resources

News, lessons, and country profiles to prep for 2nd International Conference on AI, Blockchain and Cybersecurity.

Recent reporting to ground your prep

[Arming an archipelago: Is time running out for Europe's oldest DMZ? | Euronews](https://modeldiplomat.com/story/ala-arming-an-archipelago-is-time-running-out-for-europes-oldest-dmz-euronews)

[Comprehensive approach to security: Federal Council launches consultation on Switzerland's security policy strategy](https://modeldiplomat.com/story/che-comprehensive-approach-to-security-federal-council-launches-consultation-on)

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Lessons

Bite-sized lessons to build the basics

[Engagement Strategies](https://modeldiplomat.com/learn/lessons/engagement-strategies)

[Hidden Stakeholders](https://modeldiplomat.com/learn/lessons/hidden-stakeholders)

[Dynamic Analysis](https://modeldiplomat.com/learn/lessons/dynamic-analysis)

[Stakeholder Mapping Workshop](https://modeldiplomat.com/learn/lessons/stakeholder-workshop)

Courses

Guided courses that go deeper on the topic

[Media & Press Relations](https://modeldiplomat.com/learn/courses/media-press)

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[Advanced Negotiation](https://modeldiplomat.com/learn/courses/advanced-negotiation)

The states in play, with the data that shapes their stance

[Japan](https://modeldiplomat.com/country/japan)

[Country dossier](https://modeldiplomat.com/country/japan)

[United States](https://modeldiplomat.com/country/united-states)

[Country dossier](https://modeldiplomat.com/country/united-states)

[China](https://modeldiplomat.com/country/china)

[Country dossier](https://modeldiplomat.com/country/china)

[United Kingdom](https://modeldiplomat.com/country/united-kingdom)

[Country dossier](https://modeldiplomat.com/country/united-kingdom)

[Israel](https://modeldiplomat.com/country/israel)

[Country dossier](https://modeldiplomat.com/country/israel)

[Russia](https://modeldiplomat.com/country/russia)

[Country dossier](https://modeldiplomat.com/country/russia)

[Germany](https://modeldiplomat.com/country/germany)

[Country dossier](https://modeldiplomat.com/country/germany)

[France](https://modeldiplomat.com/country/france)

[Country dossier](https://modeldiplomat.com/country/france)

[South Korea](https://modeldiplomat.com/country/south-korea)

[Country dossier](https://modeldiplomat.com/country/south-korea)

[Singapore](https://modeldiplomat.com/country/singapore)

[Country dossier](https://modeldiplomat.com/country/singapore)

[Switzerland](https://modeldiplomat.com/country/switzerland)

[Country dossier](https://modeldiplomat.com/country/switzerland)

[United Arab Emirates](https://modeldiplomat.com/country/united-arab-emirates)

[Country dossier](https://modeldiplomat.com/country/united-arab-emirates)

[Netherlands](https://modeldiplomat.com/country/netherlands)

[Country dossier](https://modeldiplomat.com/country/netherlands)

[North Korea](https://modeldiplomat.com/country/north-korea)

[Country dossier](https://modeldiplomat.com/country/north-korea)

[India](https://modeldiplomat.com/country/india)

[Country dossier](https://modeldiplomat.com/country/india)

[Ukraine](https://modeldiplomat.com/country/ukraine)

[Country dossier](https://modeldiplomat.com/country/ukraine)

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