The underdefense mdr company has a large team of global experts who monitor threats in real-time and communicate this information to MDR. The Underdefense platform is designed to provide an adequate level of security, which means management tools reside in the data center without additional server hardware or software. Underdefense also supports cloud workloads, endpoints, and identity monitoring.
Responding to cyber threats
The most exciting feature of Underdefense is the protection technology. This technology allows you to understand the entire life cycle of a cyber attack and see how the event affects your business processes. Underdefense complements the SOC with security experts who can help with incident response, digital forensics, and even malware analysis. In addition, Underdefense offers expert security services opportunities to provide in-house team personal training on the company’s security posture and potential threats. Custom appointments or recurring appointments are available depending on service level.
Underdefense managed to detect and respond to various types of cyberattacks.
Provider Underdefense has enhanced its MDR anomaly detection service by expanding its security event dataset. You can use it to create analytical models. In addition, Underdefense uses system protection technologies to generate detailed investigative reports and recommendations to improve alert response.
MDR solution warning logic
Underdefense has invested in expanding the database of its MDR service. Global SOC analyzes billions of log events every day. Underdefense monitors cloud platforms, various SaaS applications, containers, and internal resources. In addition, the vendor offers compliance reports that address industry-specific requirements. Another similarity is that Underdefense runs on cloud storage, so you can expand and scale your deployment as threats diminish. Integration with popular collaboration platforms simplifies messaging, and custom lockers help formalize incident response.
MDR’s cyber capabilities
The advantage of Underdefense MDR is the response time of the security expert. The company promises to detect threats in less than a minute, classify them in less than 5 minutes and fix a data leak in 30 minutes. Underdefense uses a severity score to improve the connections between action priorities, context, and threat. It also helps quantify the risk to critical business services. In addition, MDR provides an easy way to view threats and initiate a response from anywhere.
Targeted detection and response for dual protection
Underdefense offers controlled detection and response services. Like its competitors, the team provides 24/7 service and guarantees a minimum response time. On average, customers wait several minutes for a vendor’s security experts to respond to cyber threats. Identify threats in your network with behavioral detection and threat detection chains. Proactive threat scanning is also available for improved detection.
Safe concept
Cyber incidents are automatically assigned to the response team with the highest escalation level. According to the company, experts spend half of their time researching vulnerabilities and developing detection and response strategies. In addition, Underdefense says that, like other vendors, they continuously monitor their customers’ infrastructure and report on system hardening.
MDR, security in critical situations
Underdefense MDR promises a 90% reduction in false alarms and less than 0.01% increase in threats in the field within the first day of use. In addition, the MDR service has extensive digital forensics capabilities. It easily integrates with other security platforms that you already have in your company. Underdefense tools easily integrate with your existing infrastructure through API connectivity, enabling more effective threat identification and response. Full integration with IaaS and SaaS systems is also possible, increasing protection against identity threats, unusual user behavior, or abuse of access rights in your infrastructure. A particular advantage is the detailed reporting of security events and malicious activity. Context includes analysis based on the individual data of each user, as well as the overall threat level of the database/
Machine learning – types of cyber attacks
Attacks aimed at compromising machine learning solutions can be divided into four categories: During the attack, cybercriminals manipulate data sets used by artificial intelligence for research. The AI model is already trained in stealth attacks, but the attack changes the input data slightly. During attacks, your opponent will create a copy of your AI system. An attacker can derive a pattern simply by providing information and seeing its results. They tune into the AI model and observe its response. In 2019, a vulnerability in Proofpoint’s email security system was exploited. Email solutions have created headers that indicate incoming messages may be spam. Cybercriminals used these classifications to train artificial intelligence systems to create phishing emails that would not be detected as spam.
If a company uses a commercial AI product, cybercriminals can obtain it by buying a copy or hiring other hackers. Cyber attackers may have platforms for testing malware against antivirus modules. During attacks, attackers find training data sets to train your systems and exploit vulnerabilities or anomalies in the data.
Understand the main threat scenarios. As part of Underdefense services, specialists organize special seminars to help you understand the most likely threat scenarios for your business and make the right decisions about security investments. To do this, we determine the possible impact of damage on a company and the frequency of possible threat scenarios. We then use the combination to identify the necessary details of each threat scenario. Potential threats, tactics and techniques, data sources, and response requirements. This gives you a clear map for your threat detection and response needs.
Continuous improvement of system efficiency
To ensure that the detection system targets the right threats and reduces false positives, a team of engineers and developers continuously identifies gaps in detection and response, tests the framework, and closes those gaps. In addition, the Use Case Management Service continues to develop and test discovery rules and corresponding response guides and integrate third-party APIs to improve enrichment and automation. It is expanding SIEM, EDR, and XDR use cases. This enhances the quality of alerts generated by security scanning platforms, as only enabled alerts are developed for specific use cases—consolidation and regulation of security operations. The SOC services platform uses orchestration and automation to integrate existing technologies into a single, fully transparent platform. It allows you to track all security operations and activities, including alerts, events, investigations, and analyst responses. The platform includes a built-in channel enabling teams to send real-time messages to analysts to resolve issues and ensure a proper incident response. Reporting capabilities also provide senior management and operations personnel with up-to-date metrics on the performance of security operations and SLAs. This includes threat use case coverage and false positives, random alert recognition, and average response time.
