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Tech News > Blog > Latest Tech > Cybersecurity > Data Breaches > Cybersecurity in the Age of AI: Adapting to New Threats
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Cybersecurity in the Age of AI: Adapting to New Threats

Elina Norberg
Last updated: June 13, 2024 12:06 pm
Elina Norberg 11 months ago
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As our world becomes more digital, the rise of AI-powered cyberattacks has made cybersecurity more complex. Organizations must now shift from traditional methods to innovative, data-driven strategies to stay ahead of these threats.

Contents
Breaking Down Silos for Better SecurityAddressing Internal and External ThreatsLeveraging AI and Machine LearningPreparing for Future Challenges

Breaking Down Silos for Better Security

Modern cybersecurity needs to be integrated across all aspects of an organization. Elizabeth Simon, VP of Compliance and Risk at Progress Residential, emphasizes the importance of transparency, communication, and relationship building to create a culture of holistic risk management. By ensuring that everyone, from front-line managers to executives, understands the importance of risk management, organizations can better align their security measures with strategic objectives.

Addressing Internal and External Threats

To combat both known and potential threats, adopting zero-trust models and focusing on identity threat management are crucial steps. Igor Gutierrez, Information Security Officer and DPO at B. GROB do Brasil S.A, highlights the need for collaboration within companies and across industries. Sharing attack information and AI models can help organizations respond more quickly to threats and strengthen their defenses.

Leveraging AI and Machine Learning

Advancements in AI and machine learning have transformed security monitoring. By analyzing large datasets, organizations can identify patterns and predict potential vulnerabilities. Partnering with external service providers can help fill gaps in staff and strategy, embedding a cybersecurity culture throughout the entire IT infrastructure.

However, Stan Yakoff, RegTech Adviser and Law Professor at Fordham Law School, warns against rushing to implement AI solutions without fully understanding the problem. Sometimes, simpler and more cost-effective solutions, such as process automation or incorporating additional contextual data, can be more effective.

Preparing for Future Challenges

By integrating advanced monitoring capabilities, strategic planning, and a deep understanding of business operations, organizations can protect against current threats and anticipate future challenges. Industry leaders will explore these issues at #RISK London in October, focusing on how data-driven strategies, business functionality, and regulatory compliance can build a resilient security posture.

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