With increased reliance on cloud and data centers, providers are under more pressure to maintain real-time network visibility to reduce potential threats to their service offerings. That’s why provider Immedion chose Kentik. Read the case study.
Kentik’s VP of Channels Jim Frey takes a look back at RSA 2018. After walking the show floor, in this post he highlights how the event has grown over the years as the security vendor landscape has gotten more complex and bloated. He also explains why good technology alone is not the answer.
Network performance and network security are increasingly becoming two sides of the same coin. Consequently, enterprise network operations teams are stepping up collaboration with their counterparts in the security group. In this post, EMA analyst Shamus McGillicuddy outlines these efforts based on his latest research.
Modern enterprise networks are becoming more dynamic and complex, which poses significant challenges for today’s IT leaders. In this post, data center and IT service provider phoenixNAP discusses how Kentik Detect helps overcome network visibility challenges.
Applying AI and machine learning to network infrastructure monitoring allows for closed-loop automation. In this post, ACG analyst Stephen Collins discusses the benefits, including how real-time insights derived from streaming telemetry data are fed back into the orchestration stack to automatically reconfigure the network without operator intervention.
News broke last week that attackers attempted to steal cryptocurrencies from users of MyEtherWallet.com by using a BGP route hijack attack. Numerous Kentik Detect customers saw changes in their traffic patterns, allowing them to detect this attack. In this post, we look at how the attack worked and the visibility that Kentik Detect provided our customers.
The Internet is the wild wild west — and the pace of DDoS attacks is not letting up. But thanks to recent advances in streaming telemetry, network visibility, and Big Data, the good guys are armed with the weapons they need to maintain the peace.
Attackers are using memcached to launch DDoS attacks. Multiple Kentik customers have reported experiencing the attack activity. It started over the weekend, with several external sources and mailing lists reporting increased spikes on Tuesday. In this blog post, we look at what our platform reveals about these attacks.
IoT represents a massive threat to network infrastructure, as seen in widely publicized IoT-based DDoS attacks like Mirai. So what needs to happen to safeguard our devices and networks from participating in these botnet attacks? And how can IoT device originated attacks get quickly identified and stopped by network operators? In this post, we discuss scalable IoT DDoS protection.
Domain Name Server (DNS) is often overlooked, but it’s one of the most critical pieces of Internet infrastructure. As driven home by last October’s crippling DDoS attack against Dyn, the Web can’t function unless DNS resolves hostnames to their underlying IP addresses. In this post we look at how combining Kentik’s software host agent with Dashboards in Kentik Detect gives you the tools you need to ensure DNS availability and performance.
Operating a network means staying on top of constant changes in traffic patterns. With legacy network monitoring tools, you often can’t see these changes as they happen. Instead you need a comprehensive visibility solution that includes real-time anomaly detection. Kentik Detect fits the bill with a policy-based alerting system that continuously evaluates incoming flow data. This post provides an overview of system features and configuration.
Today’s increased reliance on cloud and distributed application architectures means that denial of just a single critical dependency can shut down Web availability and revenue. In this post we look at what that means for large, complex enterprises. Do legacy tools protect sufficiently against new and different vulnerabilities? If not, what constitutes a modern approach to DDoS protection, and why is it so crucial to business resilience?
DDoS attacks constitute a very significant and growing portion of the overall cybersecurity threat. In this post we recap highlights of a recent Webinar jointly presented by Kentik’s VP of Product Marketing, Alex Henthorn-Iwane, and Forrester Senior Analyst Joseph Blankenship. The Webinar focused on three areas: attack trends, the state of defense techniques, and key recommendations that organizations can implement to improve their protective posture.
Avi Freedman recently spoke with Ethan Banks and Greg Ferro of PacketPushers about Kentik’s latest updates, which focus primarily on features that enhance network performance monitoring and DDoS protection. This post includes excerpts from that conversation as well as a link to the full podcast. Avi discusses his vision of appliance-free network monitoring, explains how host monitoring expands Kentik’s functionality, and gives an overview of how we detect and respond to anomalies and attacks.
Destination-based Remotely Triggered Black-Hole routing (RTBH) is an incredibly effective and very cost-effective method of protecting your network during a DDoS attack. And with Kentik Detect’s new advanced Alerting system, automated RTBH is also relatively simple to configure. In this post, Kentik Customer Success Engineer Dan Rohan guides us through the process step by step.
As organizations increasingly rely on digital operations there’s no end in sight to the DDoS epidemic. That aggravates the headaches for service providers, who stand between attackers and their targets, but it also creates the opportunity to offer effective protection services. Done right, these services can deepen customer relationships while expanding revenue and profits. But to succeed, providers will need to embrace big data as a key element of DDoS protection.
The source of DDoS attacks is typically depicted as a hoodie-wearing amateur. But the more serious threat is actually a well-developed marketplace for exploits, with vendors whose state-of-the-art technology can easily overwhelm legacy detection systems. In this post we look why you need the firepower of big data to fend off this new breed of commercial attackers.
Whether its 70s variety shows or today’s DDoS attacks, high-profile success begets replication. So the recent attack on Dyn by Mirai-marshalled IoT botnets won’t be the last severe disruption of Internet access and commerce. Until infrastructure stakeholders come together around meaningful, enforceable standards for network protection, the security and prosperity of our connected world remains at risk.
DDoS attacks pose a serious and growing threat, but traditional DDoS protection tools demand a plus-size capital budget. So many operators rely instead on manually-triggered RTBH, which is stressful, time-consuming, and error-prone. The solution is Kentik Detect: automated RTBH triggering, based on the industry’s most accurate DDoS detection, that sets up in under an hour with no hardware or software install.
Can legacy DDoS detection keep up with today’s attacks, or do inherent constraints limit network protection? In this post Jim Frey, Kentik VP Strategic Alliances, looks at how the limits of appliance-based detection systems contribute to inaccuracy — both false negatives and false positives — while the distributed big data architecture of Kentik Detect significantly enhances DDoS defense.
In our second post related to BrightTalk videos recorded with Kentik at Cisco Live 2016, Kentik CEO Avi Freedman talks about the increasing threats that digital businesses face from DDoS and other forms of attacks and service interruptions. Avi also discusses the attributes that are required or desirable in a network visibility solution in order to effectively protect a network.
Network security depends on comprehensive, timely understanding of what’s happening on your network. As explained by information security executive and analyst David Monahan, among the key value-adds of Kentik Detect are the ways in which it enables network data to be applied — without add-ons or additional charges — to identify and resolve security issues. Monahan provides two use cases that illustrate how the ability to filter out and/or drill-down on dimensions such as GeoIP and protocol can tip you off to security threats.
This guest post brings a security perspective to bear on network visibility and analysis. Information security executive and analyst David Monahan underscores the importance of being able to collect and contextualize information in order to protect the network from malicious activity. Monahan explores the capabilities needed to support numerous network and security operations use cases, and describes Kentik Detect as a next-generation flow analytics solution with high performance, scalability, and flexibility.
With massive data capacity and analytical flexibility, Kentik Detect makes it easy to actively explore network traffic. In this post we look at how to use this capability to rapidly discover and analyze interesting and potentially important DDoS and other attack vectors. We start with filtering by source geo, then zoom in on a time-span with anomalous traffic. By looking at unique source IPs and grouping traffic by destination IP we find both the source and the target of an attack.
If your network visibility tool lets you query only those flow details that you’ve specified in advance then you’re likely vulnerable to threats that you haven’t anticipated. In this post we’ll explore how SQL querying of Kentik Detect’s unified, full-resolution datastore enables you to drill into traffic anomalies, to identify threats, and to define alerts that notify you when similar issues recur.
DDoS attacks impact profits by interrupting revenue and undermining customer satisfaction. To minimize damage, operators must be able to rapidly determine if a traffic spike is a true attack and then to quickly gather the key information required for mitigation. Kentik Detect’s Data Explorer is ideal for precisely that sort of drill-down.