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AI

The Mega Impact of AI-Driven Disinformation Campaigns

The amount of money to run an AI-based disinformation campaign is miniscule compared to the influence the campaign can have on society. As I noted in my recent SecurityWeek piece “Preparing Society for AI-Based Disinformation Campaigns in the 2024 US Elections”, there are four common steps in these efforts: Reconnaissance, content creation, amplification and actualization.

Unveiling the AI Threat: Trustwave SpiderLabs Exposes the Rise of AI in BEC and Phishing Attacks - 2024 Technology Threat Landscape Report

Criminals have always been among the first to adopt the latest technology to benefit themselves financially. Famed bank robbers Bonnie and Clyde used high-powered V-8 engine-equipped Ford cars to outrun local police. Other gangs used the telephone to help coordinate their activities, and some realized they could gain an edge by outgunning security and police by toting Thomson submachine guns.

Harnessing the Power of Artificial Intelligence: A closer look at the European Union's new landmark legislation

Artificial intelligence (AI) has become one of the most transformative forces of our time. From the mundane tasks of everyday life to the complexities of global industries, artificial intelligence continues to permeate every aspect of society, reshaping how we live, work, and interact. The growing importance of AI is not just a trend but a fundamental shift in the way we perceive and leverage technology. This is particularly true in the cybersecurity industry.

Trustwave SpiderLabs: Artificial Intelligence Playing a Prime Role in BEC and Phishing Attacks

Criminals have historically been quick to embrace cutting-edge technology for their financial gain. For instance, the notorious bank robbers Bonnie and Clyde utilized high-powered V-8 engine-equipped Ford cars to outpace local law enforcement. Other criminal groups leveraged telephones to coordinate their activities, while some recognized the advantage of wielding Thomson submachine guns to outgun security personnel and police.

Strategies for Living with Undetectable AI Content Proliferation

The relentless march of Artificial Intelligence (AI) has brought us to the precipice of a new era in content creation. AI-powered language models are now capable of generating human-quality text, blurring the lines between machine and human-made content. This proliferation of undetectable AI content presents a unique challenge - how do we navigate a world where information authenticity is increasingly difficult to discern? While some may view undetectable AI content with apprehension, it has the potential to revolutionize various fields.

New Era of Tech: How Generative AI Is Transforming Data Science Tools

In recent years, generative AI has been a great asset to the world at large. The impact of generative AI is apparent in many industries and functions, where there is substantial evidence of how it has buttressed daily operations. Generative AI is fuelled by the availability of large language models (LLMs) powered by 3rd party data. LLMs are machine learning models trained on significantly large amounts of data.

The Inevitable Threat: AI-Generated Email Attacks Delivered to Mailboxes

Generative AI exploded in popularity not too long ago but its influence on text and media creation is already undeniable. AI content is becoming ubiquitous on the internet, and this technology is slowly seeping into real life, impacting sectors such as healthcare, finance, agriculture, and education. In a previous blog post, we discussed the rise of malicious AI chatbots and how they can be leveraged in cyberattacks. Now, we are seeing these potentially AI-written spam being distributed via email.

Bipartisan AI Task Force and More - This Month in AI

In a significant move to address the complexities of regulating artificial intelligence (AI), Speaker Mike Johnson (R-La.) and Minority Leader Hakeem Jeffries (D-N.Y.) declared the formation of a bipartisan task force dedicated to exploring AI innovation and devising safeguards against potential threats. This initiative comes as lawmakers grapple with the rapid evolution of AI technology and its implications for various sectors.

Nightfall was built on AI. Here's how we're advancing our mission to scale data protection in the enterprise.

Back in 2018, Rohan and I founded Nightfall on the belief that AI could make data leak prevention (DLP) better, faster, and more accessible to every enterprise. At the time, Rohan was a founding engineer at Uber Eats, and I was an investor at Venrock specializing in SaaS and security. From these respective vantage points, we could see that legacy solutions weren’t working, and could never keep up with the evolving threat landscape.