Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

protecto

Data De-identification: Definition, Methods & Why it is Important

Dec 16, 2024 By Rahul Sharma In Protecto
Data is essential. Businesses, researchers, and healthcare providers rely on it. However, this data often contains sensitive personal information, creating privacy risks. Data de-identification helps mitigate these risks by removing or altering identifiers. This makes it harder to link data back to specific individuals. This process is vital for protecting sensitive information and allowing safe data use. Privacy is a growing concern. Regulations like HIPAA set strict rules.
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securitysenses

The Evolution of Cyber Attacks: Lessons for Staying Safe in 2025

Dec 16, 2024 By SecuritySenses In SecuritySenses
The pace at which cyberattacks are evolving has accelerated in recent years, driven by technological advances, particularly artificial intelligence (AI) and machine learning. The sophistication of cybercriminals' tactics has reached unprecedented levels, posing new challenges for traditional cybersecurity defenses. In this article, we will explore the key developments in cyber threats, identify emerging risks, and offer practical lessons on how businesses and individuals can stay safe in 2025.
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Arctic Wolf

Understanding Shadow IT in the Age of AI

Dec 13, 2024 By Madeline Chantry In Arctic Wolf
With the emergence of artificial intelligence (AI), there has been a flurry of new terms to describe an increasing variety of new problems. Some of those problems have been around for decades but are now more difficult to manage due to the versatility of AI-based tools and applications. One of those ongoing challenges is shadow IT with a new class of problems classified as shadow AI.
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knowbe4

94% of U.K. Businesses Aren't Adequately Prepared for AI-Driven Phishing Scams

Dec 13, 2024 By Stu Sjouwerman In KnowBe4
A new report makes it clear that U.K. organizations need to do more security awareness training to ensure their employees don’t fall victim to the evolving use of AI. Here at KnowBe4, we’ve long known that AI is going to be a growing problem, with phishing attacks and the social engineering they employ far more believable and effective.
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cyberark

Cybersecurity in 2025: Converging Identities, Private AIs and Autonomous APTs

Dec 13, 2024 By Len Noe In CyberArk
2024 has proved historic for technology and cybersecurity—and we still have some distance from the finish line. We’ve witnessed everything from advancements in artificial intelligence (AI) and large language models (LLMs) to brain-computer interfaces (BCIs) and humanoid robots. Alongside these innovations, new attack vectors like AI model jailbreaking and prompt hacking have emerged. And we also experienced the single largest IT outage the world has ever seen.
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Spectral

The Essential LLM Security Checklist

Dec 12, 2024 By Eyal Katz In Spectral
Large language models (LLMs) are transforming how we work and are quickly becoming a core part of how businesses operate. But as these powerful models become more embedded, they also become prime targets for cybercriminals. The risk of exploitation is growing by the day. More than 67% of organizations have already incorporated LLMs into their operations in some way – and over half of all data engineers are planning to deploy an LLM to production within the next year.
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tanium

Introducing Tanium Ask: Using AI to Get Questions Answered

Dec 12, 2024 By Tanium In Tanium
How many questions does your organization need to answer about your endpoints every day, and how long does it typically take to get the answer? How often do these questions require an operator with great expertise to provide accurate answers? Do the questions feel like they are resulting in fire drills for your teams?
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