Share On

Automated Processing

A Method for Detecting Domain Generation Algorithms (DGAs) Using Deep Learning and Signal Processing Techniques

White Paper: ENSIGN

Background Domain Generation Algorithm, otherwise known as DGA, remains a potent technique used by cyber actors in their malware attacks. It begins with an automation programme designed to generate names of domains in a specific fashion, providing instructions and receiving information from malware. The use of DGAs allow attackers to quickly switch domains during malware attacks and circumvent traditional rule/signature-based security appliances aimed at blacklisting such malicious domains. Since DGAs are built and designed to generate thousands of domains, and remain active only for a limited period of time, efforts to tackle them could at times prove futile. Blacklisting a static list of malicious domains is no longer sufficient, given the unpredictable/non-static nature of a DGA, and the sheer volume of domains it uses. To address such attacks, we infuse machine learning and deep learning approaches into our advanced cyber analytics capabilities. These techniques facilitate the detection of elusive random domains generated by the malware when it attempts to connect to the attacker from a compromised host. Our proprietary DGA detection model possesses the ability to sieve through large traffic to ascertain the presence of DGA traits. It also determines if successful communications to malicious domains were made.

Discover How Companies Increase Performance and Profits through Purchasing Automation

White Paper: Bellwether Software

Purchasing automation eliminates bottlenecks, increases buying power, reduces cycle time, improves inventory management & reduces rouge spending. If your purchasing cycle is automated, the company can expect an improved bottom line, positive impact on corporate spend and purchasing decisions. This whitepaper discusses about how and why to assess purchasing automation savings & solutions. It highlights: Purchasing process flow quickly reveals inefficiencies Boost profits by automating your purchasing functions Guidelines for evaluating software options The future of purchasing and supply Purchasing, a vital company function Within the purchasing function, business has a great opportunity to implement cost reduction in a major spend area and move into the 21st century. If you have not yet automated your purchasing function, now is really the time.

Creating Tests with AscentialTest

White Paper: Zeenyx Software

Earlier creating a test was as easy as navigating through the application under test (AUT), but testing groups quickly discovered that the tests were of no use once the target application changed. Organizations can significantly reduce the duration of testing cycles by adopting the step-based approach to build manual and automated tests. This whitepaper provides insights on how AscentialTest automatically generates the test framework, enabling domain experts to design and create automated tests that are ready to execute without recording or scripting. It highlights: Step-based approach: Next evolution in test development Building Steps with AscentialTest Action types that are standard to the step-based approach Different ways to access test data from within steps and tests

Testing Legacy Application Modernization

White Paper: Zeenyx Software

When a legacy application is modernized, transaction flow may be changed to adjust to the standards and capabilities of the new platform. If tests are automated using a traditional testing tool, those user interface changes would require a significant amount of test maintenance to get tests running on the new platform. AscentialTest provides a short-cut by allowing users to develop tests against the legacy application as a baseline and then converting them to the new user interface. This whitepaper on “Testing Legacy Application Modernization,” highlights: High level overview of how tests are created in AscentialTest Ways to convert the legacy objects to the new platform Components of Object definition How to ensure that the modernized version of the application produces the same results

Predictive Insights: Automated Call & Lead Scoring for Today's Call Center

White Paper: VoiceBase, Inc

Today’s call center is not lacking data. But the manual process of analyzing voice recordings in search of business opportunities is labor intensive and costly. And it takes time— time that could be better spent exploiting new-found insights to improve business processes. By replacing human call scoring with an automated call solution offered by contact centers, call-tracking services and hosted PBXs can save a considerable amount of time and money. Your clients will be interested in a solution that accelerates the call-scoring process, saves money, and enables a new level of intelligence to be gleaned from customer calls. VoiceBase Predictive Analytic is just such a solution. Automatically mining the rich data in spoken interactions opens the door to a wealth of possibilities. Read this whitepaper for predictive insight on automated call & scoring leads for today's call center systems.

follow on linkedin follow on twitter follow on facebook 2024 All Rights Reserved | by: