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AI

ChatGPT vs Cyber Threats: The REAL Role of AI in Cybersecurity

Sep 18, 2024 By Razorthorn In Razorthorn
Unlock the truth about using Large Language Models (LLMs) in cybersecurity - are they the next big thing or just another trend? In this episode of Razorwire, your host, James Rees, brings together cybersecurity expert Richard Cassidy and data scientist Josh Neil to talk about the use of AI and large language models (LLMs) in cybersecurity and their role in threat detection and security. Join us for a discussion on the capabilities and limitations of these technologies, sparked by a controversial LinkedIn post.
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protecto

Data Security in AI Systems: Key Threats, Mitigation Techniques and Best Practices

Sep 17, 2024 By Rahul Sharma In Protecto
Artificial Intelligence (AI) has evolved into a vital part of modern businesses. Its reliance on large amounts of data drives efficiency and innovation. However, the need for data security in AI systems has grown critical with this increasing dependence on AI. Sensitive data used in AI must be protected to avoid breaches and misuse. This post will explore critical threats to AI data security, discuss mitigation techniques, and present best practices to help organizations safeguard their AI systems.
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boxyhq

Securing AI and LLM: The Critical Role of Access Controls

Sep 16, 2024 By Sama - Carlos Samame In BoxyHQ
As more companies leverage Artificial Intelligence (AI) and Large Language Models (LLMs) to maximize productivity and accelerate growth, the responsibility of safeguarding data has become increasingly critical. In this environment, robust access controls are not just a security measure but a fundamental aspect of responsible AI usage. This article will explore what access controls are, why they are essential for AI and LLM security, and how organizations can implement them effectively.
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cyberark

LLMs Gone Wild: AI Without Guardrails

Sep 13, 2024 By Len Noe In CyberArk
From the moment ChatGPT was released to the public, offensive actors started looking to use this new wealth of knowledge to further nefarious activities. Many of the controls we have become familiar with didn’t exist in its early stages. The ability to request malicious code or the process to execute an advanced attack was there for the asking from an open prompt. This proved that the models could provide adversarial recommendations and new attacks never before seen.
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keeper

How AI Is Making Phishing Attacks More Dangerous

Sep 13, 2024 By Ashley D'Andrea In Keeper
Phishing attacks occur when cybercriminals trick their victims into sharing personal information, such as passwords or credit card numbers, by pretending to be someone they’re not. Artificial Intelligence (AI) has made it easier for cybercriminals to carry out phishing attacks by writing believable phishing messages, mimicking people’s voices, researching targets and creating deepfakes.
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cato networks

The Imperative of Data Loss Prevention in the AI-Driven Enterprise

Sep 12, 2024 By Eyal Webber Zvik In Cato Networks
As organizations increasingly integrate artificial intelligence (AI) into their operations, the nature of data security is undergoing significant transformation. With AI’s ability to process vast amounts of data quickly, the risk of data breaches and leaks has grown exponentially. In this context, Data Loss Prevention (DLP) has (re)emerged as a critical component for IT professionals seeking to safeguard sensitive information.
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protecto

Gen AI Guardrails: 5 Risks to Your Business and How to Avoid Them

Sep 12, 2024 By Amar Kanagaraj In Protecto
As businesses increasingly adopt Generative AI (Gen AI) to enhance operations, customer engagement, and innovation, the need for robust AI guardrails has never been more critical. While Gen AI offers transformative potential, it also introduces significant risks that can jeopardize your business if not properly managed. Below, we explore five critical risks associated with Gen AI and provide strategies to avoid them.
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