ai in web3 cybesecurity

AI in Web3: Strategic Cybersecurity for Leaders

AI adoption across Web3 organisations is outpacing the cybersecurity frameworks meant to govern it. Development teams are generating smart contract code with AI assistants, operations teams are deploying AI agents to automate trading and wallet management, and compliance functions are integrating AI-powered monitoring, often without coordinated oversight of the security implications. The risks this creates […]

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blockchain regulartory vasp ccss

CCSS as a Regulatory Tool: A Framework for VASP Cybersecurity Supervision

When a bank applies for a licence, regulators know exactly what to look for. Capital reserves, liquidity ratios, governance structures, AML programmes, credit risk management, operational resilience: decades of supervisory practice have produced detailed assessment methodologies for each of these areas. The examiner arrives with a well-defined list of evidence to collect. However, when a

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zero trust ccss environment

Applying Zero Trust Architecture to CCSS Trusted Environments

Zero Trust Architecture (ZTA) has gained significant traction across cybersecurity since NIST formalised the concept in SP 800-207 in 2020. The principle of “never trust, always verify” has been widely adopted in government, financial services, and critical infrastructure as a replacement for the traditional perimeter-based model, which extends implicit trust to anything within the network

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cybersecurity

CCSS v9 Threat Modelling and Risk Management

Every virtual asset service provider (VASP), whether operating as a custodian, an exchange, or a wallet infrastructure provider, holds cryptographic key material that adversaries actively seek to compromise. The threat actors range from organised criminal groups and state-sponsored operatives to malicious insiders and supply chain intermediaries. Acknowledging that these threats exist is insufficient; what matters

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