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The Evolving Landscape of Cybersecurity: Trends and Challenges

CyberSecurity Insiders

Artificial Intelligence (AI) and Machine Learning (ML) in Cybersecurity: AI and ML are transforming the way we approach cybersecurity. Employing encryption, multi-factor authentication, and continuous monitoring are some essential steps to safeguard cloud environments.

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NIST Report Highlights Rising Tide of Threats Facing AI Systems

SecureWorld News

Artificial intelligence (AI) promises to transform major sectors like healthcare, transportation, finance, and government over the coming years. Continuous risk assessment and governance throughout the AI system lifecycle remains essential. As adoption accelerates, so too do emerging cybersecurity risks.

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Exploring Cybersecurity Research Topics for Master’s Degree Studies

CyberSecurity Insiders

Explore topics such as authentication protocols, encryption mechanisms, and anomaly detection techniques to enhance the security and privacy of IoT ecosystems. Cybersecurity Governance and Risk Management: Analyze frameworks and methodologies for effective governance and risk management in cybersecurity.

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Advancing Trust in a Digital World

Thales Cloud Protection & Licensing

As new technologies, like artificial intelligence, cloud computing, blockchain, and the Internet of Things (IoT), become increasingly prominent in the workplace, digital trust practitioners will need to adapt responsibly and safely. Advance Trust with Awareness and Culture.

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Why are you ignoring NIST, NSA and the NCSC?

IT Security Guru

A ZT architecture model as defined by the agencies is to help tilt the advantage of security authorisation, access and policy protection in favour of the business rather than the cyber adversary. Kevin is a judge for the 2021 GSMA Global Mobile Awards (GloMo’s) for Authentication & Security. Tilt the advantage to the business.

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Cybersecurity Predictions for 2023: My Reflections

Jane Frankland

As such there will be pressure to simplify technologies, re-architecture environments, and ditch single point products which become costly and as a result can negatively impact the planet. Sustainability. More companies will be focused on sustainability. Approaches. Automated technologies.

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Guiding Secure AI: NCSC’s Framework for AI System Security

LRQA Nettitude Labs

Select AI models considering security and functionality trade-offs: Balance model architecture, configuration, training data, algorithms, and hyperparameters. Ensure processes for asset tracking, authentication, version control, and restoration to a secure state post-compromise.

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