Your customers are saturated with cybersecurity information.
It’s likely one of the reasons they’re using your MSS.
Here’s the problem: with so much information, there’s not normally one clear, definitive source of truth. Two scans of the same network can give a different answer every time. Every platform has a different idea of what’s a priority, and how your attention should be focused. Information often conflicts and contradicts between products across a number of different factors– including vendor analysis, timestamp, and given recommendations.
So what’s the answer?
How do you make sense of the multi-layered cyber security tech stacks for your customers?
How do you help them clarify their cyber situations from a ground level?
And ultimately: how do you bolster your MSS offering in a way that consolidates and maximizes the efficiency of the existing systems, while providing the increased clarity and answers your customers need?
No two products are the same.
Within a cybersecurity ecosystem, each product has its own competing layers of the network and stack. And each product has its own built-in system for prioritization of analysis.
What signals a 4 on the priority scale for one product, might register as a 10 on another product.
This poses a huge challenge for your customers: how do they know which information is the most accurate, or which next steps to take?
We know that two scans of the same network will return a different answer each time, no matter the product or timeframe used. Because of this, it’s essential for MSS organizations to equip their service offerings with a tool that enables customers to evaluate these comparisons side by side.
Ultimately, this enables higher degrees of confidence in assessing an accurate state of the network.
Comparing scans and system data allows operators to fully comprehend and “see” a cyber situation.
Like night-vision goggles.
A completed MSS offering gives its operators the ability to compare every scan from every device, and fully visualize all existing datasets.
Obviously, SIEM and VMS never meet.
But did you know there’s a way to compare these two datasets against each other?
Combining these two views, and contrasting the information they provide, is possible…and game-changing.
Contrasting the information provided by SIEM, VMS, EDR, and more, ensures that the products that are in place are both useful and provide valuable intelligence.
By shifting the lenses across the entire data stack as it relates to the existing cybersecurity information, customers can:
- Gain deeper insights into what is working,
- Discover where things are weak,
- Detect duplicate information leading to added friction amongst teams.
How is all of this possible?
How can you pull the data from all of your existing systems, and compare them against each other to create the most accurate and real-time report of what’s happening in your network?
CLAW 4.0, a military-grade attack surface analysis platform, enables cyber security teams to get full visibility of networks, bullet-proofing their MSS service offering. Comparing the information from within existing systems and platforms, and contrasting the datasets against each other, CLAW maximizes the use of a tech stack, while giving you the edge to catch the threats others miss.
We’ll do you one better.
Give us 15 minutes of your time for a quick walk-through, and we’ll give a two-week trial, to use CLAW for yourself, and see how it works in real time with your own data…totally free.