As malware becomes ever more sophisticated and evasive, new technologies are emerging to uncover threats no matter how well they’re camouflaged. This paper proposes a logical design strategy for dynamic malware analysis that optimizes detection effectiveness, efficiency, and economics.
Overwhelmed by the volume of security intelligence and alerts, human analysts need machine learning to augment and accelerate efforts. Machine learning moves security analytics from diagnostic and descriptive to prescriptive and proactive, leading to faster and more accurate detection.
Machine learning offers the depth, creative problem-solving capabilities, and automation to help security organizations gain significant ground against attackers. It’s a powerful tool for processing massive amounts of data for the purpose of malware classification and analysis, especially for unknown threats. Through supervised learning, human researchers can continually develop new training models that expand the understanding and competency of machine learning systems.
Based on our interviews with customers that are leveraging advanced analytics to drive more predictive outcomes for their companies, we found the following conclusions were consistent across all customers.
Analytics has moved from the specialty of a dedicated few to a necessity for broad groups of business professionals to do their job. This white paper considers the use of analytics and business intelligence in the banking industry for improving decision making and the benefits of prebuilt analytic applications for achieving this objective across many functions in a banking organization.
What You Will Learn:
This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques:
• Advanced analytics
• Collective global security threat intelligence
• Enforcement across multiple form factors (networks, endpoints, mobile devices, secure gateways, and virtual systems)
• Continuous analysis and retrospective security
This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques.
Published By: DataFlux
Published Date: Jan 07, 2011
This white paper, the first in a sequence, addresses the question, "who, specifically, are those right groups and right people?" on several different levels. It also highlights underlying principles that, properly applied, lead to solid answers to the "who" questions for a wide variety of scenarios.
Malicious botnets present multiple challenges to enterprises — some threaten security, and others merely impact performance or web analytics. A growing concern in the bot environment is the practice of credential stuffing, which capitalizes on both a bot’s ability to automate repeat attempts and the growing number of online accounts held by a single user. As bot technologies have evolved, so have their methods of evading detection. This report explains how the credential stuffing exploit challenges typical bot management strategies, and calls for a more comprehensive approach.
Location analytics is the process of
integrating geographical data into business intelligence (BI) and analytics-led decision
making. Location analytics creates meaningful insight from relationships found in
geospatial data to solve a broad variety of business and social problems.
Location data is found everywhere – with an item or a device, in a conversation or
behavior, in machines or sensors, tied to a customer or competitor, attached to a
database record or recorded from vehicles or other moving objects. Organizations
want to take advantage of location data to improve decisions, create better customer
engagement and experiences, reduce risks and automate business processes.
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
Deep-dive analytics tools have completely transformed the way many organizations do business—helping remove the guesswork from major areas of operations, and provide everybody with the clear, actionable answers they need to make informed business decisions.
The benefits of sophisticated analytics are being reaped across the business. But according to Deloitte, HR is lagging behind— with only 14 percent of companies using analytics in HR, compared to 77 percent using these tools in Operations1.
Everybody’s talking about big data. Huge promises
have been made about its role in driving enterprises
forward. But few organizations are realizing its
For those able to put data to good use, there’s
much to be excited about. Data is transforming
not only businesses, but entire industries, and
the world as we know it. Today organizations are
harnessing big data to do things like transform
healthcare, provide eyesight for the visually impaired,
and bringing us closer to autonomous cars
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits.
For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars