Now, there’s a loaded question. With so many preceding it: What do we mean by AI? Which aspects of what data are we referring to When it comes to AI? Are ethical practices universal? So, here are a few things to consider.

In the world of cybersecurity, artificial intelligence (AI) has changed the way we discover, respond, and recover from cyberattacks. But despite the several advancements of AI in cybersecurity, cyberattacks are becoming more and more dangerous because of AI. Cybercriminals are now leveraging existing artificial intelligence tools and AI-based technologies for use in their own attacks, and as a result, cyber threats and attacks are becoming harder to prevent.

I am excited to share that Lookout has been named a Visionary in the 2022 Gartner Magic Quadrant for Security Service Edge (SSE). We believe our strong position in the “Completeness of Vision” axis demonstrates the alignment of the Lookout Platform with the market direction. This achievement would not have been possible without the hard work and passion of the entire Lookout family who have embraced the opportunity to support our customers on their digital transformation journey.

As security operations leaders, we are burdened with a large responsibility. The expectation is that we can respond to alerts as soon as possible and be able to investigate immediately. It sounds simple, but in today’s cyber threat landscape we are faced with growing threat vectors and a sheer volume increase in overall alerts or notifications. Failure to respond quickly enough or investigate the right areas could result in huge impacts to the organizations we are responsible for.

During the pandemic, collaboration apps such as Microsoft Teams and Zoom have played an important role in connecting the distributed workforce and helping organizations to cope with the so-called “new normal.” Even if we are finally starting to see the light at the end of the tunnel (and this time it’s a real light), the world won’t be exactly the same as it was before.

As organizations deploy more and more cloud native workloads, the ability to protect them in a secure and cost-effective manner is becoming increasingly important. Data access is also more widely spread, making it even more critical to meet this protection need with a secure, logically air-gapped copy of that data.

IoT has rapidly moved from a fringe technology to a mainstream collection of techniques, protocols, and applications that better enable you to support and monitor a highly distributed, complex system. One of the most critical challenges to overcome is processing an ever-growing stream of analytics data, from IoT security data to business insights, coming from each device. Many protocols have been implemented for this, but could logs provide a powerful option for IoT data and IoT monitoring?

It is rare nowadays to hear of a business strategy that doesn’t entail a cloud strategy. So it comes as no surprise that 85% of organizations are expected to embrace a cloud-first principle by 2025, as estimated by Gartner. But migrating all your organization’s data, applications, and business processes to a new environment can be daunting.

It is rare nowadays to hear of a business strategy that doesn’t entail a cloud strategy. So it comes as no surprise that 85% of organizations are expected to embrace a cloud-first principle by 2025, as estimated by Gartner. But migrating all your organization’s data, applications, and business processes to a new environment can be daunting.