Egnyte has been developing and using AI technology with Machine Learning (ML) for quite some time. We use it internally to detect sensitive information for our customers so that policies can be put in place to protect that information, and we continue to find new ways to implement these models to better support our customers.
Digital transformation has driven the rapid adoption of cloud-delivered services like SaaS/IaaS/PaaS in enterprises. This, in turn, has resulted in the migration of digital assets (aka data) from the confines of enterprise data centers to the cloud data centers that are not under the control of the enterprises. Additionally, the onset of the COVID-19 pandemic has resulted in remote work becoming the norm.
CrowdStrike today unveiled the next evolution of CrowdStrike’s industry-first IOAs: artificial intelligence (AI)-powered IOAs.
During the last few years, we have witnessed an increase in advanced cyber attacks. Cybercriminals utilize advanced technology to breach the digital boundary and exploit enterprises’ security vulnerabilities. No industry feels secure; security professionals do their utmost to close security gaps and strengthen their cyber defense.
This is the fifth in a series of articles focused on AI/ML. Source code is a critical part of an organization’s intellectual property and digital assets. As more and more centralized source code repositories are moving to the cloud, it is imperative for organizations to use the right security tools to safeguard their source code.
When it comes to how truly intelligent Artificial Intelligence (AI) is, it’s a polarizing debate. Either AI will solve the world’s woes or robots will rule us all – Matrix-style. But it’s all a little more complicated than Hollywood makes it seem… For a deep dive, do listen to our Beyond the Data podcast hosted by Sophie Chase-Borthwick (Calligo’s Global Data & Governance Lead) and Tessa Jones (VP of Data Science Research & Development).
Artificial Intelligence (AI) is rapidly becoming ubiquitous in supporting key business decisions, and for many organisations it is critical for their digital transformation and new business models. With organisations quickly driving forward to identify new ways to extract competitive value from their data, the regulators are preparing to step in.
As artificial intelligence (AI) becomes more and more prevalent in society, it is also making its way into the world of cyber security. AI can be used in a number of ways to help improve cyber security, including by automatically detecting and responding to threats, improving network efficiency, and helping to identify vulnerabilities. In this blog post, we will discuss some of the ways that AI is changing cyber security and how it can help your business stay safe online.
The National Crime Record Bureau (NCRB), in its report, recorded 50,035 cybercrime cases in 2020, and it is alarming to see that the numbers have surged exponentially ever since the pandemic. This opened the gates to remote onboarding and the use of facial recognition algorithms to distinguish users’ unique features, enhancing their onboarding experience. On the flip side, this has also given scamsters and fraudsters ample opportunities to manipulate and employ technologies for wrongful gains.
