With all the focus on remote working, we’ve been investigating what a truly comprehensive cybersecurity solution should have.
First and foremost, you need a fast-big-data streaming platform, right? Ingesting data from a variety of sources is key to comprehensive visibility.
But how can you, as an MSP, dynamically and automatically adapt to the changing threats?
How do you consume, compute and correlate all the data coming into your chosen platform to do the only job your customer wants – PROTECT their organisation?
Machine Learning (ML) and Artificial Intelligence (AI) based behavioural science plays a critical role in finding all sorts of anomalies in application, devices and users’ behaviour, but it could lead to massive alert fatigue. Most Security Information and Event Management (SIEM) solutions have tried to retrofit ML algorithms into existing platforms. It leads to one thing: alert fatigue for the end user.
That’s why we’ve partnered with Seceon to include their award-winning platform in our MSP offering for the Remote End-user Environment Management (REEM).
As an advanced correlation engine that correlates the anomalies with situational context and historical context, Seceon reduces false positives and eliminates alert fatigue. Using built-in threat models and ML/AI based engines, it dynamically adapts to dynamic thresholds, changing with global threat intelligence from a periodic feed.
It doesn’t only proactively detect. It contains or eliminate attacks by providing actionable intelligence and automated infrastructure to orchestrate and apply the right set of policies.
If you’d like to explore how Seceon fits into our REEM solution for MSPs, contact us on sales@bluelabeltech.com
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