This Fact File examines trends in the detection and treatment of acute myocardial infarctions, or heart attacks, in two distinct groups:
STEMI—ST segment elevation myocardial infarction, with the ST segment referring to a specific part of an electrocardiogram tracing. In STEMI, the coronary artery is completely blocked and cardiac muscle dies.
NSTEMI—Non-ST segment elevation myocardial infarction. In NSTEMI, a coronary artery is partially blocked.
What if defenders could see the future? If they knew an attack was coming, they could stop it, or at least mitigate its impact and help ensure what they need to protect most is safe. The fact is, defenders
can see what’s on the horizon.
Many clues are out there—and obvious.
The Cisco 2018 Annual Cybersecurity Report presents our latest security industry advances designed to help organizations and
users defend against attacks. We also look at the techniques and strategies that adversaries use to break through those defenses
and evade detection.
The report also highlights major findings from the Cisco 2018 Security Capabilities Benchmark Study, which examines the security posture of enterprises and their perceptions of their preparedness to defend against attacks.
Published By: Sauce Labs
Published Date: May 30, 2018
If you work in DevOps or software QA, you likely already know why
automated software testing is essential for quality control to keep
pace with continuous delivery. Automated testing delivers faster
results and more thorough coverage, and enables shift-left testing
for earlier detection of bugs.
Yet the issue of how to approach automated testing remains difficult
for many QA teams to solve. A range of obstacles makes it challenging to begin automating software tests, or to increase the extent of test automation beyond the basics.
Published By: Datastax
Published Date: May 14, 2018
"What’s In The Report?
The Forrester Graph Database Vendor Landscape discusses the expanding graph uses cases, new and emerging graph solutions, the two approaches to graph, how graph databases are able to provide penetrating insights using deep data relationships, and the top 10 graph vendors in the market today
Download The Report If You:
-Want to know how graph databases work to provide quick, deep, actionable insights that help with everything from fraud to personalization to go-to-market acceleration, without having to write code or spend operating budget on data scientists.
-Learn the new graph uses cases, including 360-degree views, fraud detection, recommendation engines, and social networking.
-Learn about the top 10 graph databases and why DSE Graph continues to gain momentum with customers who like its ability to scale out in multi-data-center, multi-cloud, and hybrid environments, as well as visual operations, search, and advanced security."
Security and risk management leaders are implementing and expanding SIEM to improve early targeted attack detection and response. Advanced users seek SIEM with advanced profiling, analytics and response features.
Since the early days of the Gartner Magic Quadrant for this category, there have been successive waves of innovation. Back in 2002, integrated firewalls captured the market’s (and Gartner’s) attention. Over the years, we’ve seen technologies, such as full disk encryption, data loss prevention (DLP), behavioral detection, application control, and more recently, machine learning, as effective new ways to protect endpoints, detect threats and give security teams peace of mind. Trend Micro has consistently been part of these innovation waves.
It’s clear that the market is excited about Endpoint Detection & Response (EDR). There are two drivers for this, and we are committed to delivering effective solutions in both areas.
NSS Labs performed an independent test of the Trend Micro Deep Discovery Inspector Model 4000 (Hardware model 4100) v3.8 SP5 and OfficeScan (OSCE) v12.0.1807. The product was subjected to thorough testing at the NSS facility in Austin, Texas, based on the Breach Detection Systems (BDS) Test Methodology v4.0 available at www.nsslabs.com. This test was conducted free of charge and NSS did not receive any compensation in return for Trend Micro’s participation.
While the companion Comparative Reports on security, performance, and total cost of ownership (TCO) will provide information about all tested products, this Test Report provides detailed information not available elsewhere.
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas.
Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.”
From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud.
Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the proverbial “needle in the haystack” – the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack.
In this context, detecting attacks is often difficult, and sometimes impossible. This white paper describes how CrowdStrike solved this challenge by building its own graph data model – the CrowdStrike Threat Graph? – to collect and analyze extremely large volumes of security-related data, and ultimately, to stop breaches. This revolutionary approach applies massive graph-based technologies, similar to the ones developed by Facebook and Google, to detect k
As business models have become increasingly digital, high-profile, reputation-damaging security breaches are grabbing more news media headlines. Leading companies have ramped up their investments in cybersecurity, yet that spending is often not well aligned with actual threats. Studies have shown that server-focused solutions such as network anti-virus, malware detection and website firewalls attract the biggest investments, ignoring the fact that misuse of privileged credentials is by far the most common cause of breaches. The reasons for this disconnect are not well understood, in part because it sits at the intersection of the people and technology domains. This survey, conducted by WSJ Custom Studios with sponsorship from Centrify, seeks insights into senior-level thinking on this issue, including current cybersecurity priorities and the perceived degree of alignment between threats and solutions.
Botnets are based on similar principles as legitimate clouds, but serve malicious business interests. Find out more about how botnets work and the right steps after having detected infected machines within your own network.
Encryption technology has enabled much greater privacy and security for enterprises that use the Internet to communicate and transact business online. Mobile, cloud and web applications rely on well-implemented encryption mechanisms, using keys and certificates to ensure security and trust. However, businesses are not the only ones to benefit from encryption.
The operation of your organization depends, at least in part, on its data.
You can avoid fines and remediation costs, protect your organization’s reputation and employee morale, and maintain business continuity by building a capability to detect and respond to incidents effectively.
The simplicity of the incident response process can be misleading. We recommend tabletop exercises as an important step in pressure-testing your program.
Security is a looming issue for businesses. The threat landscape is increasing, and attacks are becoming more sophisticated. Emerging technologies like IoT, mobility, and hybrid IT environments now open new business opportunity, but they also introduce new risk. Protecting servers at the software level is no longer enough. Businesses need to reach down into the physical system level to stay ahead of threats. With today’s increasing regulatory landscape, compliance is more critical for both increasing security and reducing the cost of compliance failures. With these pieces being so critical, it is important to bring new levels of hardware protection and drive security all the way down to the supply chain level. Hewlett Packard Enterprise (HPE) has a strategy to deliver this through its unique server firmware protection, detection, and recovery capabilities, as well as its HPE Security Assurance.
Security is a looming issue for organizations. The threat landscape is increasing, and attacks are becoming more sophisticated. Emerging technologies like IoT, mobility, and hybrid IT environments now open new organization opportunity, but they also introduce new risk. Protecting servers at the software level is no longer enough. Organizations need to reach down into the physical system level to stay ahead of threats. With today’s increasing regulatory landscape, compliance is more critical for both increasing security and reducing the cost of compliance failures. With these pieces being so critical, it is important to bring new levels of hardware protection and drive security all the way down to the supply chain level. Hewlett Packard Enterprise (HPE) has a strategy to deliver this through its unique server firmware protection, detection, and recovery capabilities, as well as its HPE Security Assurance.
Published By: Genesys
Published Date: Jun 06, 2017
In this ebook, learn:
- Five trends will have the biggest impact on customer experience
- How to use machine learning to detect patterns and trends to deliver the next great customer experiences
- How to future-proof your contact center and adapt to changing customer needs
Today’s threat landscape is nothing like that of just 10 years ago. Simple attacks that caused containable damage have given way to modern cybercrime operations that are sophisticated, well-funded, and capable of causing major disruptions to organizations and the national infrastructure. Not only are these advanced attacks difficult to detect, but they also remain in networks for long periods of time and amass network resources to launch attacks elsewhere.
Traditional defenses that rely exclusively on detection and blocking for protection are no longer adequate. It’s time for a new security model that addresses the full attack continuum—before, during, and after an attack.
This white paper can help you confirm that your small business or distributed enterprise needs to invest in an effective next-generation firewalls (NGFW) solution. For small businesses, the
NGFW should provide an affordable and manageable entrée to advanced threat protection. In branch offices and the distributed enterprise, NGFWs should provide a detection and enforcement point, analyzing real-time threats and network traffic at scale and benefiting from an integrated and holistic view of the network of which it is a part. In both use scenarios, the NGFW should help your organization defend against targeted and persistent malware attacks, including emerging threats.
First, today’s digitally oriented customers expect banks to provide an ever-higher quality experience defined by speed and the flexibility to conduct business across many channels. They’ve grown accustomed to going online and transferring money between accounts, for example, and using their mobile device to make payments and check their account balance. These kinds of experiences have raised the bar in terms of customer expectations – and banks need to keep up, or risk losing customers. This is particularly true of millennial customers, as they have little regard for loyalty, which banks have traditionally relied on to build their business. Once frustrated by inconvenience, they don’t hesitate to switch banks – and thanks to the internet, this is now a fast, painless process.
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and
analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
MIT Technology Review Survey: Executive Summary
Are you prepared for the next breach? Only 6% of leaders say yes.
Information security—or, the lack of it—is firmly on the radar for business and IT leaders in organizations of all sizes and in every sector. Many fear that their companies are ill-prepared to prevent, detect, and effectively respond to various types of cyberattacks, and a shortage of in-house security expertise remains of widespread concern.
Those are among the initial findings of the Cybersecurity Challenges, Risks, Trends, and Impacts Survey, conducted by MIT Technology Review of approx. 225 business and IT executives, in partnership with Hewlett Packard Enterprise Security Services and FireEye Inc.
Cyberattacks are now a fact of life. Yet detection still lags. In 2015, the median amount of time attackers spent inside organizations before detection was 146 days. Why are we so vulnerable?
MIT Technology Review asks Andrzej Kawalec, chief technology officer for HPE Security Services and Marshall Heilman, vice-president and executive director at Mandiant, a FireEye company, what we can do to make our systems more secure.
While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? A new white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology —what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution,it dramatically increases your ability to detect attacks that use unknown malware.
Download this white paper to learn:?How different types of ML are applied in various industries and why it’s such an effective tool against unknown malware?Why ML technologies differ and what factors can increase the accuracy and effectiveness of ML ?How CrowdStrike’s ML-based technology works as part of the Falcon platform’s next-generation AV