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Cyber Signals Feb 2024
While AI can empower companies to protect against cyber threats, it also is helping cyberattackers hone their tactics. Social engineering, for instance, is much more effective with help from AI. Deepfakes and voice cloning, for example, can easily trick employees into divulging credentials and other information.
In this eBook, you'll learn four key ways to prevent cyber threats and strengthen your defenses, both traditional defenses as well as AI-enabled security.
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AI enhances cybersecurity by enabling organizations to detect anomalies instantly, respond swiftly to neutralize risks, and tailor defenses to specific organizational needs. It empowers security analysts to be more productive, as evidenced by a study showing that users of Microsoft Copilot for Security were 44% more accurate and 26% faster in their tasks.
What are the risks associated with AI in cybersecurity?
Adversaries are increasingly using AI to enhance their attack techniques, including reconnaissance, coding, and social engineering. They leverage AI technologies like large language models (LLMs) to improve their productivity and sophistication in executing cyber operations, making it essential for defenders to understand and counter these AI-driven threats.
How can organizations prepare for AI-driven cyber threats?
Organizations can prepare for AI-driven cyber threats by adopting Zero Trust principles, implementing multifactor authentication, and educating employees about social engineering tactics. Additionally, leveraging AI tools like Microsoft Copilot for Security can enhance their security posture and help detect and respond to threats more effectively.
Cyber Signals Feb 2024
published by High Performance Systems Inc
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