Into the era of secure remote work

whitePaper | August 16, 2020

Unleash the full potential of your cloud native transformation and accelerate innovation with the confidence that your cloud native applications are secured from start to finish, at any scale. Aqua Platform protects your entire stack, on any cloud, across VMs, containers, and serverless. Accelerate development by detecting security issues in your artifacts early and shortening time to remediate. «Shift left» security into the CI/CD pipeline, get full visibility into the security posture of your pipeline and reduce the attack surface before application deployment.

whitePaper | December 6, 2019

Machine learning (ML)-driven personalization is fast expanding from social media to the wider information space, encompassing legacy media, multinational conglomerates and digital-native publishers: however, this is happening within a regulatory and oversight vacuum that needs to be addressed as a matter of urgency. Mass-scale adoption of personalization in communication has serious implications for human rights, societal resilience and political security. Data protection, privacy and wrongful discrimination, as well as freedom of opinion and of expression, are some of the areas impacted by this technological transformation.

whitePaper | July 28, 2020

The penetration of cloud-based contact center solutions into the contact center market has been growing dramatically as enterprises continue to acquire new customer engagement solutions or replace their existing premises-based contact centers. Cloud solutions are growing in popularity and gaining an increasingly significant share of the market as their feature sets and flexibility begin to match or surpass those of legacy premises-based systems. Cloud contact center vendors are spending R&D dollars to further develop their solution capabilities internally while also making strategic acquisitions in the customer engagement market space to enhance and broaden their offerings.

whitePaper | July 23, 2020

LogicMonitor asked 500 global IT leaders from across the globe how their departments are evolving to maintain SLAs and business continuity amidst the 2020 global pandemic.

whitePaper | July 10, 2020

There’s no arguing that preventing failures and accidents is critical for industry. Unexpected incidents can grind operations to a halt for extended periods of time and necessitate expensive repairs. Just 12 hours of downtime for an oil production platform could cost six to eight million dollars in lost production opportunity alone. A single day of grounding for a plane costs roughly four to five million dollars. Because of these disruptions, industrial sectors are always on the lookout for newer, better maintenance methods, and the approach on everyone’s lips right now is predictive maintenance. While everyone agrees on the name, there is less consensus on what it means or how to implement it. But to truly unlock the potential of predictive maintenance, it needs to be paired with artificial intelligence (AI) and machine learning (ML).

whitePaper | July 31, 2020

The current COVID pandemic has paralyzed large parts of our industry with significant movement limitations, occupancy restrictions, and in some cases complete shutdowns. Now, as the initial threat seems to be subsiding, governments and businesses must determine what is required to get back to some sense of normalcy. The biggest hurdles will be regulatory and/or safety-driven. Although the timelines and requirements for the easing of restrictions vary greatly, there are two common threads: limiting occupancy levels and contact tracing individuals who have tested positive for the virus.