Using our world wide sensor network, Avira sees cyber threats as they emerge in real-time. The Avira Protection Cloud develops the intelligence associated with the threats we identify and makes it immediately available to our technology partners.
From the edge to the core of the Internet, Avira sees cyber threats as they emerge in real-time. We take the data collected by our 500 million consumer and business customers, supplement it with the investigative work done by the experts in Avira Protection Labs, add in specialist external data, and develop it into intelligence within the Avira Protection Cloud.
The Avira Protection Cloud uses powerful Advanced Heuristic Engines, Machine Learning and Dynamic File Analysis systems to develop intelligence. Sophisticated contextual analysis techniques correlate the huge amount of data gathered and extracted from our sources. We present this as file and classification information, and static, dynamic, infection, and operational intelligence.
The developed threat intelligence is delivered to our partners through a portfolio of cybersecurity solutions. Intelligence is delivered as a continuous threat feed or on demand using APIs. We develop it into powerful rules and heuristics for our SDKs and build it into complete packaged products that can be easily integrated within an existing product portfolio.
The Avira Protection Cloud delivers >99.99% detection of malware on devices, appliances and services. It can be used as a primary or secondary opinion within a technology partner’s or service provider’s security cloud.
Dynamic File Analysis combines multiple sandbox approaches for behavioral profiling to cluster and reveal similarity in the behavior of malware and identify advanced threats. Powerful rules allow the identification of behavior patterns that are specific to malware families and strains, or reveal the exact malicious intent of malware itself.
Dynamic File Analysis uses an ensemble of techniques to develop intelligence, including probability prediction, feature extraction, and context generation.
Machine learning massively scales and automates the detection and prevention of cyber threats. Advanced machine learning models help us identify new forms of malware, prevent zero-day attacks, detect targeted malware and deliver the highest detection rates in the cyber-security industry.
Avira applies machine learning both within the cloud and locally within the client to detect and classify advanced threats.
Avira’s extended scanning engine is an extremely efficient way of identifying families of known malware. It uses proprietary definitions and heuristic algorithms as well as powerful content extraction and de-obfuscation techniques to identify malware. This powerful scanning engine is capable of analyzing files far more thoroughly than any endpoint scanning tool and quickly reaches a conclusion whether code is part of a known malware family.
The engine also utilizes highly advanced decomposition techniques that extract and reveal all the compressed and obfuscated data within the malicious file in real-time.
Avira uses contextual analysis to correlate and develop intelligence. Correlation identifies novel families of malware, reveals hidden threat patterns, and delivers highly sophisticated behavioral profiling of malware. Intelligence is created from the information developed by our analysis engines. The intelligence is maintained within our contextual databases and delivered to our partners through our APIs and machine-readable threat feeds. We also develop it into sophisticated heuristics, generics, and models for our SDKs and on-premise security solutions.
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