Facebook Scams Impersonate AI Tools
Fraudsters are spreading scams on Facebook that pose as ads for legitimate AI tools, according to researchers at Check Point. The Facebook pages impersonate ChatGPT, Google Bard, Midjourney, Jasper, and more.
Fraudsters are spreading scams on Facebook that pose as ads for legitimate AI tools, according to researchers at Check Point. The Facebook pages impersonate ChatGPT, Google Bard, Midjourney, Jasper, and more.
The 2021 Log4Shell incident cast a bright light on open source software security — and especially on supply chain security. The 18 months following the incident brought a greater focus on open source software security than at any time in history. Organizations like the OpenSSF, AlphaOmega, and large technology companies are putting considerable resources towards tooling and education. But is open source software security actually improving? And where are efforts still falling short?
For nearly a decade, Egnyte has been applying AI to help customers protect and manage large volumes of unstructured data. The outputs of these models were historically focused on a relatively narrow set of IT security, privacy, and compliance applications. Today, we’re announcing the next generation of AI-powered solutions at Egnyte, unleashing content intelligence for every user on our platform!
Generative AI is the big trending topic right now, and understandably is featuring prominently in the news. The popularity of platforms such as Open AI’s ChatGPT, which set a record for the fastest-growing user base by reaching 100 million monthly active users just two months after launching is unquestionably on the minds of businesses globally.
Generative AI, the transformative technology causing a stir in the global tech sphere, is akin to an enthralling narrative with its charming allure and consequential dark underbelly. Its most notable impact is forecasted in the realm of identity proofing, creating ripples of change that demand our immediate attention.
In the modern, cloud-first era, traditional data protection technology approaches struggle to keep up. Data is rapidly growing in volume, variety, and velocity. It is becoming more and more unstructured, and therefore, harder to detect, and consequently, to protect.