Artificial intelligence security solution verified by real-world application
Clumit Security is an NDR solution powered by machine learning. It ingests and processes diverse data from nearly all network components, encompassing network devices and pre-existing security apparatus. At its core, it relies on Clumit, the machine learning engine meticulously crafted by ClumL.
The digital era has witnessed an exponential surge in both wired and wireless network traffic. This upswing, however, has not been without challenges: security vulnerabilities have grown in tandem, and sophisticated cyber-attacks have become the norm. Against this backdrop, Clumit Security is an excellent countermeasure.
Unmasking hidden threats
At Clumit Security, our focus sharpens on pivotal threats across every facet of the cyber kill chain. This ensures we can pinpoint and neutralize covert threats with precision. By scrutinizing inbound, outbound, and even intra-network traffic, we're poised to identify novel threats either in their nascent stages or as they traverse the cyber kill chain.
Automate responses to familiar threats using playbooks
Recognizing the demands on security administrators, we've integrated a playbook functionality within Clumit Security. In instances where certain threat detections become recurrent, our playbook empowers users to respond en masse. And when a situation demands a deeper dive, we have a cadre of security experts on standby to provide incisive analysis and guidance.
Detection of Specialized Threats, Auto-Labeling, and Novel Threat Identification
High-Interest Specific Threats that evade traditional security mechanisms, including covert communication channels and ransomware
Threats that camouflage within legitimate communications pose serious risks when they manifest into real attacks. For such concealed threats, Clumit Security employs a specialized threat-detection model. This allows these threats to operate under the radar for extended periods. Beyond harnessing Clumit’s unsupervised learning capabilities, the system heavily integrates supervised learning methodologies, drawing on a rich knowledge base and datasets curated by experts.
Automatically Labeled Anomalies through Clustering
ClumL's auto-labeling technology hinges on avant-garde pattern recognition algorithms. The auto-labeling function within Clumit Security translates numerical outputs, born from AI computations, into strings. These strings can then be cross-referenced with pre-existing knowledge databases. This intricate procedure stems from the generation of regular expressions, crafted from vast data streams in real-time, all based on automata theory principles.
Once these threats are labeled vis-à-vis existing threat intelligence, not only does it validate the detection's credibility, but it also paves the way for appropriate responsive actions.
Anomalies Detected via Clustering that Remain Unlabeled – a precursor to potential new threat vectors!
Those threats that remain unlabeled post the auto-labeling process are potential harbingers of novel threats. This embodies the true prowess of ClumL's Clumit Security. When an anomaly is flagged by the AI without human intervention and proves elusive to label, it often indicates the threat is either novel or a nuanced variant of a known threat.
Dynamic Signature Generation and Threat Intelligence (TI)
Clumit's ability to autonomously craft regular expressions from user data translates to a potent mechanism for signature detection. Given that these dynamically generated expressions perfectly encapsulate the patterns observed in the data, their precision stands in stark contrast to manually curated rules. While human-derived rules grapple with rapid updating, the regular expressions produced by Clumit seamlessly evolve in real-time, keeping pace with incoming data streams.
When elements like signatures can be deployed as instrumental threat markers, their integration across diverse systems becomes crucial. These instrumental markers are termed as TI (Threat Intelligence).
A perennial challenge for security overseers is the extraction of actionable TIs that can be applied to successive stages of threat analysis or detection. With threats growing in intricacy and their lifecycles condensing, securing robust TIs becomes an uphill battle. Even those TIs that are identified often have fleeting relevance, leading to a persistent quest for contemporary TIs.
Clumit, fortified with ClumL's patented innovations, streamlines the arduous process of identifying elusive TIs. Whereas in the days of rule-centric protocols, a single potent rule could suffice as TI over extended durations, today’s landscape reveals the inadequacy of rule-based detections. TIs, too, cannot rely solely on human discretion. The dynamic evolution of TIs, facilitated by AI, is the way forward.
Seamless Adaptation Across Diverse Networks
Clumit security can be adapted to the situation of different networks: closed networks, large networks, and small networks. It provides a solid security solution for any type of network.
Closed networks
Closed networks
Offline updates
Offline Threat Intelligence
Deploy multiple sensors
Monitor threats across all your IT assets
Long-term storage of raw data
Large networks
Large networks
Automatic online updates
Threat Intelligence
Segmented tenant management by affiliate
Inbound/Outbound threat monitoring
Monitor threats to key assets such as servers
Short-term storage of raw data
Automatic online updates
Threat Intelligence
Segmented tenant management by affiliate
Inbound/Outbound threat monitoring
Monitor threats to key assets such as servers
Short-term storage of raw data
Small networks
Small networks
Automatic online updates
Threat Intelligence
Inbound/Outbound threat monitoring
Automatic online updates
Threat Intelligence
Inbound/Outbound threat monitoring
Stay Abreast with Cutting-Edge Security Paradigms
Clumit Security embodies a vanguard in security solutions, offering holistic AI-driven security measures for every byte of data and traffic traversing the network.
Data collected
Traffic analyzed
Correlation analysis
Machine learning
Network traffic analysis
Cyber Kill Chain
TI (Threat Intelligence)
Automated Response
Threat Hunting
Benefits
Challenges
Clumit
Security
Network traffic, server logs, device logs, metadata, etc.
Inbound/ Outbound
by Playbook
Automated response by automated detection rules, automated labeling, and playbooks
-
EDR
From limited devices only
limited
Difficult to correlate across devices
Detailed analytics by process
Need an expert for analysis & problems with the agent approach
NDR / NTA
Network traffic w/o payload
Outbound only
Anomaly alerts only
Easy installation & lateral movement analysis
No detailed analysis
SIEM
From limited devices only
Works with a variety of devices
Dependent on integrated solutions
High-Caliber AI Security Anchored in ClumL’s Big Data Platform
Artificial intelligence security solution verified by real-world application
Clumit Security is an NDR solution powered by machine learning. It ingests and processes diverse data from nearly all network components, encompassing network devices and pre-existing security apparatus. At its core, it relies on Clumit, the machine learning engine meticulously crafted by ClumL.
The digital era has witnessed an exponential surge in both wired and wireless network traffic. This upswing, however, has not been without challenges: security vulnerabilities have grown in tandem, and sophisticated cyber-attacks have become the norm. Against this backdrop, Clumit Security is an excellent countermeasure.
Unmasking hidden threats
At Clumit Security, our focus sharpens on pivotal threats across every facet of the cyber kill chain. This ensures we can pinpoint and neutralize covert threats with precision. By scrutinizing inbound, outbound, and even intra-network traffic, we're poised to identify novel threats either in their nascent stages or as they traverse the cyber kill chain.
Automate responses to familiar threats using playbooks
Recognizing the demands on security administrators, we've integrated a playbook functionality within Clumit Security. In instances where certain threat detections become recurrent, our playbook empowers users to respond en masse. And when a situation demands a deeper dive, we have a cadre of security experts on standby to provide incisive analysis and guidance.
Detection of Specialized Threats, Auto-Labeling, and Novel Threat Identification
High-Interest Specific Threats that evade traditional security mechanisms, including covert communication channels and ransomware
Threats that camouflage within legitimate communications pose serious risks when they manifest into real attacks. For such concealed threats, Clumit Security employs a specialized threat-detection model. This allows these threats to operate under the radar for extended periods. Beyond harnessing Clumit’s unsupervised learning capabilities, the system heavily integrates supervised learning methodologies, drawing on a rich knowledge base and datasets curated by experts.
Automatically Labeled Anomalies through Clustering
ClumL's auto-labeling technology hinges on avant-garde pattern recognition algorithms. The auto-labeling function within Clumit Security translates numerical outputs, born from AI computations, into strings. These strings can then be cross-referenced with pre-existing knowledge databases. This intricate procedure stems from the generation of regular expressions, crafted from vast data streams in real-time, all based on automata theory principles.
Once these threats are labeled vis-à-vis existing threat intelligence, not only does it validate the detection's credibility, but it also paves the way for appropriate responsive actions.
Anomalies Detected via Clustering that Remain Unlabeled – a precursor to potential new threat vectors!
Those threats that remain unlabeled post the auto-labeling process are potential harbingers of novel threats. This embodies the true prowess of ClumL's Clumit Security. When an anomaly is flagged by the AI without human intervention and proves elusive to label, it often indicates the threat is either novel or a nuanced variant of a known threat.
Dynamic Signature Generation and Threat Intelligence (TI)
Clumit's ability to autonomously craft regular expressions from user data translates to a potent mechanism for signature detection. Given that these dynamically generated expressions perfectly encapsulate the patterns observed in the data, their precision stands in stark contrast to manually curated rules. While human-derived rules grapple with rapid updating, the regular expressions produced by Clumit seamlessly evolve in real-time, keeping pace with incoming data streams.
When elements like signatures can be deployed as instrumental threat markers, their integration across diverse systems becomes crucial. These instrumental markers are termed as TI (Threat Intelligence).
A perennial challenge for security overseers is the extraction of actionable TIs that can be applied to successive stages of threat analysis or detection. With threats growing in intricacy and their lifecycles condensing, securing robust TIs becomes an uphill battle. Even those TIs that are identified often have fleeting relevance, leading to a persistent quest for contemporary TIs.
Clumit, fortified with ClumL's patented innovations, streamlines the arduous process of identifying elusive TIs. Whereas in the days of rule-centric protocols, a single potent rule could suffice as TI over extended durations, today’s landscape reveals the inadequacy of rule-based detections. TIs, too, cannot rely solely on human discretion. The dynamic evolution of TIs, facilitated by AI, is the way forward.
Seamless Adaptation Across Diverse Networks
Clumit security can be adapted to the situation of different networks: closed networks, large networks, and small networks. It provides a solid security solution for any type of network.
Closed networks
Offline updates
Offline Threat Intelligence
Deploy multiple sensors
Monitor threats across all your IT assets
Long-term storage of raw data
Large networks
Automatic online updates
Threat Intelligence
Segmented tenant management by affiliate
Inbound/Outbound threat monitoring
Monitor threats to key assets such as servers
Short-term storage of raw data
Small networks
Automatic online updates
Threat Intelligence
Inbound/Outbound threat monitoring
Stay Abreast with Cutting-Edge Security Paradigms
Clumit Security embodies a vanguard in security solutions, offering holistic AI-driven security measures for every byte of data and traffic traversing the network.
Data collected
Traffic analyzed
Correlation analysis
Machine learning
Network traffic analysis
Cyber Kill Chain
TI (Threat Intelligence)
Automated Response
Threat Hunting
Benefits
Challenges
Clumit
Security
네트워크, 서버로그, 장비로그, 메타 데이터 등
Inbound/ Outbound
by Playbook
Automated response by automated detection rules, automated labeling, and playbooks
-
EDR
From limited devices only
limited
Difficult to correlate across devices
Detailed analytics by process
Need an expert for analysis & problems with the agent approach
NDR /
NTA
Network traffic w/o payload
Outbound only
Anomaly alerts only
Easy installation & lateral movement analysis
No detailed analysis
SIEM
From limited devices only
Works with a variety of devices
Dependent on integrated solutions
High-Caliber AI Security Anchored in ClumL’s Big Data Platform
AI-powered trading solution
Clumit Quant optimizes the selection of financial instruments, including stocks, options, and futures. By leveraging Clumit's unsupervised and semi-supervised machine learning, it analyzes historical data and current market conditions. Beyond machine learning, Clumit Quant uses various mathematical models to predict instrument values. The integration of our in-house machine learning engine ensures adaptability and precision.
Clumit's machine learning engine selectively traded call/put options on US equities and achieved a cumulative return of 68.1%.
Cumulative return of 68.1% from October 1, 2020 to April 30, 2021
(vs. 24.6% for a third-party ETF indexed to the S&P 500 and 23.1% for an AI-powered third-party ETF)