An interactive white paper describing how to get smart about insider threat prevention - including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third-party collaboration.
Security breaches are all over the news, and it can be easy to think that all the enemies are outside your organization. But the harsh reality is that more than half of all attacks are caused by either malicious insiders or inadvertent actors.1 In other words, the attacks are instigated by people you’d be likely to trust. And the threats can result in significant financial or reputational losses.
The headlines are ablaze with the latest stories of cyberattacks and data breaches. New malware and viruses are revealed nearly every day. The modern cyberthreat evolves on a daily basis, always seeming to stay one step ahead of our most capable defenses. Every time there is a cyberattack, government agencies gather massive amounts of data. To keep pace with the continuously evolving landscape of cyberthreats, agencies are increasingly turning toward applying advanced data analytics to look at attack data and try to gain a deeper understanding of the nature of the attacks. Applying modern data analytics can help derive some defensive value from the data gathered in the aftermath of an attack, and ideally avert or mitigate the damage from any future attacks.
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
Published By: Neustar
Published Date: Aug 20, 2012
Attendees will learn how Arnold Worldwide combined advertising acumen with laser-like analytics to help a big brand build a comprehensive marketing strategy, refine its tactics, and help them understand not only who, within their industry are the best customers but also how to identify growth potential in key segments that are aligned with its business goals.
Published By: Workday
Published Date: Mar 02, 2018
Providing all employees with easy, timely access to information is critical in today’s
business landscape. Discover how a cloud-based system gives you a single source of truth, across the
entire business, so you get data that’s trustworthy, actionable, and available in real time.
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.
Leveraging analytics to drive business growth is top-of-mind for corporate (C-Suite) leaders, prompting HR executives to take a more strategic, data-driven approach to workforce management. Learn the art and science of combining workforce data, business data and IT expertise together to allow HR departments to make more effective and efficient decisions about people.
As the threat landscape continues to evolve, you need a practical and robust way to protect privileged access in your enterprise. Analytics that detect new threats and automatically mitigate them are a great way to achieve this.
By following these four key steps as you build a PAM threat analytics solution, you’ll be able to establish a more comprehensive and effective approach for addressing internal and external security threats.
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively.
So how can financial institutions respond to this growing threat?
Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs.
Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
Published By: Spredfast
Published Date: Nov 15, 2018
Can chatbots provide a great customer experience? Watch how top brands automate social customer service practices. You'll learn how to enhance agent workflows and use AI to better connect with the people you care about most.
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions.
Published By: Teradata
Published Date: May 02, 2017
To understand the challenges and opportunities with the Internet of Things, MIT Sloan Management Review’s 2016 Global Executive Study conducted a comprehensive study with business executives, managers, and IT professionals globally. Through the survey results and interviews with subject matter and industry experts, MIT Sloan Management Review was able to reveal the business value and competitive issues from the Internet of Things (IoT). This comprehensive report dives into data sharing with competitors, analytic talent management, and the intersection with governing the data. Analytics is unsurprisingly is shown as the key to IoT success.
Published By: Forcepoint
Published Date: Mar 14, 2019
We are only beginning to see the impact of predictive analytics upon cybersecurity – especially for insider threat detection and prevention. Watch this webcast where we examine the technologies which make predictive analytics valuable, along with ethically minded guidance to strike the balance between vigilance and privacy.
In the face of an overabundance of numbers, knowing which metrics are most important can be a real challenge for Human Resource (HR) leaders and hiring managers. Fortunately, new analyses from the IBM Smarter Workforce Institute can provide some guidance.
RSA White Paper: As organizations rebalance their security defenses to combat today's sophisticated threats, they're recognizing that centralized incident response capabilities are key. This white paper discusses how organizations can assess and improve their incident response maturity. It also introduces RSA products and services, including RSA Security Analytics, that can help accelerate the maturity journey.
Published By: Teradata
Published Date: Jun 12, 2013
In March of 2011, CFO Research Services conducted a survey among more than 200 senior finance executives primarily in the United States to explore how well companies' information systems are supporting finance executives' ongoing efforts to transform the finance function into a value-added partner to the business. Especially in the aftermath of a worldwide recession, do CFOs and their staffs have the information they need to deliver real business value throughout the organization? How well equipped are they to provide the kinds of critical and useful business analytics that can drive the company forward?
Download this paper to learn the findings of our research.
Published By: Teradata
Published Date: Jun 12, 2013
Health plans and insurers know that to thrive over the next 3-5 years, they must dramatically improve their ability to engage with individual consumers.
The combination of Teradata products; an integrated data warehouse, Aster big data analytics and Aprimo integrated communication management, creates actionable analytic capabilities unparalleled in its ability to help companies achieve these goals. this white paper details how health plans and insurers can use Teradata to succeed in today’s healthcare environment.
Published By: Teradata
Published Date: Jun 14, 2013
This paper explains how customer relationships can be threatened by lack of insight into their behaviors and preferences and how financial services organizations can use data analytics and customer-centric marketing to improve these relationships and drive business.
To develop the visibility, agility and speed to deal with advanced threats, security information and event management (SIEM) systems need to evolve into a central nervous system for large-scale security analytics.
Mid-size enterprises face the challenges of managing advanced threats plus staff and budget constraints. This on-demand webcast explains how RSA Security Analytics provides visibility, threat intelligence, and analytics – and how you can start small.
Global competition for talent, outsourcing labor, compliance legislation, remote workers, aging populations – these are just a few of the daunting challenges faced by HR organizations today. Yet the most commonly monitored workforce metrics do very little to deliver true insight into these topics. Leaders need to graduate from metrics to analytics, surfacing the important connections and patterns in their data to make better workforce decisions.