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Collective Intelligence - PANDA SECURITY

Collective Intelligence

Maximum Protection. Minimum Impact. Easy to use.

Thanks to our award-winning Collective Intelligence technology, millions of Panda Security users instantly share malware related information, automatically improving protection across all connected computers. By leveraging cumulative community knowledge, our technology provides better, real-time protection with a minimal impact to your computer, leading to faster and more versatile products. To get real-time protection for your online world, join the Panda community!

Panda Security was the first IT security company to harness the power of cloud computing with its Collective Intelligence technology. Collective Intelligence is an innovative security model that receives and analyzes some 63.000 new malware samples a day, millions of users providing the most effective protection against Internet threats with minimal impact on your PC performance.

Based on Collective Intelligence, the new retail 2012 Panda products provide the following benefits: Maximum protection with minimum impact on your PC.

Current malware is invisible, silent and most importantly, financially motivated. Security has moved beyond protecting your computer to protecting your identity. Today it is not only about computer security, it is about identity protection.

Cyber-crime is migrating from amateurs to professionals working for organized crime rings. These criminal enterprises are so efficient and confident that they operate like legitimate businesses.

Panda has replied to the exponential increase in the number and complexity of malware that has happened in recent years by going one step ahead. We are proud of it and of our products which successfully apply our technologies to protect our customers.

Current malware is invisible, silent and most importantly, financially motivated. Security has moved beyond protecting your computer to protecting your identity. Today it is not only about computer security, it is about identity protection.

Cyber-crime is migrating from amateurs to professionals working for organized crime rings. These criminal enterprises are so efficient and confident that they operate like legitimate businesses.

The number of malware variants is growing exponentially while the number of computers infected by each sample is decreasing. The gap between created and detected malware keeps increasing.

 AV-Test.org's Sample Collection Growth
Malware collected per month – AV-Test.org-

As a result of the malware growth illustrated above, security solutions solely based on continuously updated signature files cannot keep up with malware growth. They are no longer sufficient to guarantee users’ security.

For more information, see From Traditional Antivirus to Collective Intelligence, Panda Research.

To disinfect and clean your PC from viruses or Trojans, see Free Antivirus, Panda Security.


  • Collection of data from the community. The system centrally collects and stores behavioral patterns of programs, file traces, new malware samples, etc. This data comes from Panda users and from other organizations. This extensive capacity to collect information provides greater visibility and full traceability of new malware techniques and distribution points.
  • Automatic leverage of data. The system automatically analyzes and classifies the thousands of new samples received every day. To do this, an expert system correlates the data received from the user community with PandaLab’s extensive malware knowledge base. The system automatically returns verdicts (malware or goodware) on the new files received, thereby protecting users faster and better. Additionally, a constantly updated white list of over 10 million files prevents known ‘good’ files from being scanned, improving and speeding up the scanning process and minimizing the resource consumption of protected systems.
  • Making the knowledge and solution available. This knowledge is delivered to users as web services or through signature file updates and real-time queries to the cloud.

The Collective Intelligence approach allows detecting much more malware than the manual detection system that some laboratories use. Also, it can detect even threats not yet identified. Combining Collective Intelligence and TruPrevent technologies. Panda is capable to detect the most sophisticated malware.

The fundamentals of the ‘Collective Intelligence’


 

Panda Cloud Technology

Other antivirus

Improved Detection

Each Panda customer acts as a malware sensor. As soon as a malicious process is detected on a user’s PC by the Collective Intelligence servers, all users worldwide automatically benefit from that specific detection in real-time. This results in close to real-time detection -not only of initial malware outbreaks- but also of targeted attacks aimed at infecting a small number of users to stay below the radar. NOTE that this model does not present any privacy issues, since no personal information is sent from the user’s PC to the Collective Intelligence server. In other words, there is no data transfer; only queries are sent from the user’s PC to the CI server.

Traditional antivirus solutions are architected with a PC-centric philosophy. This means that a PC is treated as a single unit in time and any malware detected within that PC is considered separately from the rest of the malware samples detected in millions of other PCs.

Improved Desinfection

Automated, short-lasting processing and classification. Thanks to the Collective Intelligence infrastructure, the malware collection, classification and remediation processes are automated and performed online for the vast majority of strains.

Semi-manual, long-lasting processing and classification. Each new malware sample needs to be sent to the lab by an affected user, reversed engineered to create a detection signature and disinfection routine, sent to quality assurance for testing, uploaded to production servers, replicated worldwide, and finally downloaded and applied by customers.

Improved Detection & resource consumption

No resource limitation. The scanning power used at the Collective Intelligence servers is only limited by hardware and bandwidth scaling. With Collective Intelligence, the majority of malware samples can be analyzed and classified automatically with the most resource-intensive proactive techniques in a matter of minutes. Most processes are performed ‘in the cloud’ and not on the customers’ PC, where fewer resources are available.

Traditional antivirus solutions perform the scanning processes on the users’ PCs, taking up a lot of their limited resources. This prevents them from being able to use resource-intensive proactive techniques.

Improved Detection & resource consumption

The automated malware remediation module automatically creates detection and disinfection signatures for the samples previously analyzed by the processing and classification module. Most signatures do not need to be downloaded to each customer as they operate from the cloud.

With traditional antivirus solutions, remediation is done semi-manually. Also, all signatures need to be downloaded to the customer, consuming bandwidth and memory resources.

Continuous improvement of protection tools.

The community feature of Collective Intelligence provides full visibility and traceability of the new malware techniques and distribution points. This knowledge allows Panda to continuously improve customer protection, and has some interesting applications and benefits for law enforcement efforts.

Traditional antivirus suppliers have partial visibility and limited traceability of malware and therefore cannot improve their products as quickly as necessary. The protection offered by their products gets worse every day.

Improved Detection & resource consumption

Panda Security’s Collective Intelligence platform includes a white-listing component that complements and improves black-list detection reducing false positives and scanning and processing times.

Traditional antivirus solutions need to scan all files, including ‘good’ ones, and therefore consume more system resources with more false positives.