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Digital Operational Resilience Act: How to
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Runtime security for financial institutions: Insight into the core benefits
Financial services face a growing threat landscape, with a 50% rise in zero-day exploits and a 180% increase in data breaches from vulnerabilities. Adversaries target infrastructure and applications to attack customers and partners, known as "island hopping." Current security tools like SAST and DAST often lack context and runtime visibility. To protect applications and cloud environments, financial institutions must evolve their cybersecurity strategies. Runtime security, which continuously monitors for behavioral anomalies at the application layer, offers the detection and response needed against sophisticated threats.
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Explore AI trends and strategies in financial services
The use of artificial intelligence (AI) and generative AI is growing in financial services, with applications from algorithmic trading to customer service. This research report examines AI adoption, including top challenges and priorities for financial institutions.
Key findings include:
- Data quality, security, and management are major hurdles
- Regulatory compliance, culture, and ethical considerations are barriers to AI implementation
- Financial institutions use AI for cybersecurity and credit decisioning
The report also offers insights on overcoming these challenges and integrating AI into operations. Read on now to learn how your organization can leverage AI to drive innovation and sustainability.
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Extracting actionable data from banking malware
This article will open the door on modern banking malware, giving readers an understanding of what this kind of malware can do and how it works.
We will help the reader gain a deeper understanding of banking malware based on the forensic artefacts left behind after execution, so that network defenders can better protect against future infections and thoroughly understand the consequences of a compromise.
We will define actionable data, demonstrate how it can be extracted from banking malware, and describe how the reader can use this data to help defend against highly damaging cyber attacks from organised criminal gangs.
