Adoption & integration of AI and data analytics in financial institutions

Adoption & integration of AI and data analytics in financial institutions

The financial sector is one of the most demanding in terms of cybersecurity. With the constant increase in system complexities and channels of engagement, it has become evident that the sector is in need of a better way to provide security and visibility while preventing cybersecurity breaches before they happen.

Threat actors are keeping pace as companies ramp up their cybersecurity measures, leaning on new tools and techniques to improve the efficiency of their attacks. Real-time behavioural threat detection that can operate and cover the scale of modern corporate networks has long been a need. Thankfully, with advancements in the field of artificial intelligence and machine learning, this reality is now within reach. With attacks increasing in speed, agility, and sophistication, companies must maximise AI/ML-driven approaches to remain secure in a high-threat environment.

• How has the cyber threat landscape developed over the last year? How has this resulted in cybersecurity challenges for your organisation today?
• What strategies and technologies are companies utilising to protect against attacks?
• How can AI and ML bolster an organisation’s cybersecurity posture? What challenges do companies face in adopting the appropriate technologies?