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New White Paper!

"Applying Neural Technology to Network Security"


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Current firewall, anti-virus, intrusion detection, and security information management solutions make efficient and creative use of signature, rule, and policy-based techniques to help prevent, detect, and mitigate the potential for internal and external network misuse. As a group these solutions have become vital to securing the enterprise in what is becoming an increasingly volatile business environment. 

While the leading players are working hard to fill the gaps in their offerings and further enhance their current products, the technologies themselves remain inherently limited in their ability to detect new types of threats. A further complication for these companies is that while they strive to achieve their product development milestones, the typical product development cycle means they are forever trailing the rapidly evolving needs of their clients. As a result, the enterprise remains exposed to unavoidable network vulnerabilities and the next inevitable system-breaking worm, virus or hack. 

To help security technology companies address this challenge, PWI has developed the Adaptive Security Engine (ASE), a breakthrough technology for expert security information analysis.

                                                                                       
            
PDF version

Adaptive Security Engine

ASE is the security intelligence power plant that is fueling the next generation of IT security products. 

ASE overcomes the limitations of policy, signature and rules-based approaches and represents a major advancement in anomaly detection that surmounts the two most commonly cited limitations of today’s anomaly detection solutions: accuracy and adaptivity.

ASE generates more accurate results and reduces the number of false alerts by doing a better job of distinguishing between threatening and non-threatening security events.  As it formulates more precise event categorizations, ASE simultaneously adapts its perspective of normal and suspicious events as it takes into account the dynamic nature of the environment being monitored.


Key Benefits
Accelerates time to market and achievement of revenue objectives while decreasing product management and maintenance costs. 
Creates a first mover advantage and competitive differentiation in an increasingly competitive market.
Complements existing product offerings and enhances the value of the overall product suite.
 · Key Features

Protection 
Products powered by ASE deliver unprecedented detection of new, hybrid, and variant strains of viruses, intrusion techniques, and other misuse originating from inside and outside the network. Organizations that utilize these products experience improved efficiency and effectiveness of their security staff as key functions become automated and intelligence is embedded in the system. Products enabled by ASE produce higher ROI/EVAs by making the information they produce work harder to reduce the time it takes to prioritize and respond to new threats and vulnerabilities.

ASE is invaluable in the identification of documented threats, but also recognizes, quantifies, and advises security staff of any unusual activity that could foretell of the next attack technique.

Breakthrough Technology and Approach 
ASE leverages a breakthrough combination of applied mathematic and cybernetic approaches that enable machine analysis of network security information similar to that of an experienced system administrator. ASE organizes security-related information generated by any combination of data aggregation tools, appliances and applications, and also supports import of vulnerability knowledge-bases from third-party vendors. This information is formed into rich multi-dimensional "event vectors" consisting of variable sets that can range from packet-level data sourced from firewalls to server and application-level information. Automatically or as directed by an administrator, these variables are defined, then weighted and configured based on the specific analysis requirements and the unique attributes that reflect a particular environment.

Applying special fuzzy clustering algorithms, like-events are organically arranged into logical, multi-dimensional groups to form a baseline of normal and suspicious events (the meta-base). Although fully automated, ASE enables system administrators to pre-define event classifications and filters, or apply them on the fly. New events and event sequences are considered as they occur and then compared to the dynamic content of the meta-base. On the basis of this comparative analysis and considering past experiences, each event is classified, an appropriate mitigation policy is triggered and the meta-base can be updated.

New events with coordinates outside the boundaries of existing clusters are automatically categorized utilizing kernel mode classifiers. In response to alerts or as required, the system administrator can override the automated classification of single or multiple events and manually initiate retraining and re-querying of the meta-base. Over time, these interactions will lead to a reduction, and ultimate elimination, of false positives. The meta-base can also be configured to retrain and refresh automatically.



 · Key Facts


>>
  Open analysis model – overcomes limitations and operational burden of correlation, rules, signatures and policy based systems

>>  Open data model – accepts security event data from all manner of devices and systems

>>  Anomaly and behavioral analysis – proven to be more effective at detecting attacks than rules-based and hard-coded solutions 

>>  Ease of integration – snap and configure integration lowers the cost of ongoing product support & maintenance  

>>  Unsupervised learning technology – teaches itself, adapts and reacts as new events are analyzed and classified 

 

 · System Requirements 


Hardware

• 1 GHz processor or faster
• 1 GB RAM or greater
• 5 MB of free disk space (for ASA software)
 
Software
• One of the following operating systems:
Windows® Server 2000 (Service Pack 3 or later)
Windows® Server 2003
Windows XP Pro
Windows Vista

Supported Data Formats
Adaptive Security Analyzer supports syslog, XML, CSV, ASCII, MDB, SQL, MySQL, Oracle, and any ODBC compliant data source.
 

 · PWI - Complete Solutions   · For More Information 


PWI provides end-to-end product development and integration services for ASE-powered solutions.


PWI, Inc. (
http://www.pwicorp.com/)
68 White Street, 2nd floor
Red Bank, NJ 07701
Email:
info@pwicorp.com
Phone: (732) 212-8110


Contact PWI today to learn about a complementary assessment or to schedule a demonstration.  

info@pwicorp.com