Cybersecurity Risks and Solutions in Outsourcing

Q: How can generative AI be leveraged to enhance defensive capabilities and support the work of cybersecurity professionals?

A: AI and related features such as machine learning, natural language processing, data mining, predictive analytics, behavioral analytics, and automated decision-making can be used to recognize patterns and learn from past incidents, interpreting human language and democratizing security decision-making across relevant teams, extracting valuable patterns and insights from large datasets, forecasting potential threats based on historical data, monitoring and analyzing user behavior to detect anomalies, and enabling quicker, data-driven responses to identified threats.

Still, AI has become a buzzword recently and is by no means a panacea or replacement for good security practices. Cybersecurity professionals must still develop competencies in delivering the core basics of day-to-day operations—risk assessment, asset management, vulnerability management, security architecture, secure software development, identity and access management, audit logging and monitoring, etc.”


I very much enjoyed this interview with Hugo on third-party risk management (TPRM), especially around clarifying how strong TPRM controls can allow businesses to reap significant benefits from outsourcing key business processes (e.g., cost savings, leveraging specialised talent, productivity, scalability, optimisation of of advanced technologies, strengthening data security, increased global footprint, etc.).

You can view the full interview at this link.

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