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We cover the key benefits of adopting ATT&CK, best practices for utilization, how it can aid threat hunting and investigations, and how it’s integrated into The MixMode Platform.
MixMode announce today the availability of its quarterly Generative AI Platform update. Continuing to innovate with new features that drive threat detection and response capabilities in large data environments, the latest updates include expanded cloud data ingestion capabilities, including support for the ingestion of Identity Data, integrations with the MITRE ATT&CK Framework, and expanded deployments across cloud environments.
The MixMode Executive Summary Dashboard provides the necessary information and continuous access to critical details that CISO’s and other cybersecurity leaders need to see on a weekly and monthly basis to understand the health of their cybersecurity program.
MixMode is proud to release our platform sensor for Google Cloud! With this capability, customers can now monitor their Google Cloud infrastructure for security anomalies and zero-day attacks, using the same industry-recognized MixMode platform enterprises already use for on-premise security monitoring, Amazon Web Services monitoring, and Microsoft Azure monitoring.
Companies of all shapes and sizes are under siege from a cybersecurity perspective as we navigate the waters of the Covid-19 crisis. As enterprises adjust to a work-from-home population that grew from 20% to greater than 80% of employees almost overnight, CISOs must navigate a radical change in the shape of their corporate networks, and …
Supporting Cybersecurity Programs throughout the Covid-19 Crisis Read More →
As enterprises establish their custom hybrid environments, many security departments are realizing that while they have many sophisticated tools on the on-premise corporate traffic side, they don’t have the same level of visibility of their cloud traffic.
Today we announced the completion of our Series A round of funding, raising a total of $4 million led by Entrada Ventures. The round included participation from existing investors including Keshif Ventures and Blu Venture Investors. The new funding will be used to expand MixMode’s AI-powered network traffic analytics platform and to fuel the growth of our worldwide network of customers and partners.
Our engineering team has been working hard to deliver on the promise that MixMode offers a heterogeneous, “single pane of glass” view and analysis into multiple kinds of workloads.
One of the biggest challenges facing enterprise security teams today is information overload created by massive tool sprawl. Many security teams are forced to utilize upwards of 40-50 security tools to monitor their environment which is leading to an overabundance of alerts. Recent reports showed that security analysts on average ignore up to 30% of …
We’re excited to announce the general availability of support for Amazon Web Services’ VPC Flow Logs, in the MixMode platform! MixMode prides itself in offering a heterogeneous, “single pane of glass” view and analysis into multiple kinds of workloads, including both On-Premise and Cloud workloads.
Integrating MixMode with Splunk provides immediate AI based decision making to your organization. This results in fewer alerts, and more actionable data for analysts to consume.
The cybersecurity provider landscape is cluttered with impossible claims, misrepresentations, and a confusing mix of inconsistent terminology. Worse, every minute you delay making a decision is another minute hackers have to gain access and knowledge about your network.
Today we announced a small but exciting update to MixMode’s Network Traffic Analysis platform! We have made performance and usability updates to the indicators page below: The Indicators page has been completely re-architected for a tremendous improvement in speed and performance. I urge you to go and try it for yourself right now – you …
The most popular form of in house deployment of MixMode is to deploy our OVA virtual appliance on an existing internal VMware ESXi infrastructure.
We ingest your CloudTrail logs into our platform, apply a layer of our Proprietary Artificial Intelligence to give you advanced anomaly detection and alerting, correlate those anomalies with your underlying network data and give you access to forensic search and investigation of these logs.
When revisiting Mixmode API eliminating data over-fetching was one of the key areas that we focused on for our 6.1.8 release.
Packetsled Query Language (PQL) addresses the need of analysts to ask questions from large amounts of data without being forced to learn a complicated query language. It is a simple, intuitive expression language that lets users focus on finding what they need quickly.