SOLUTION BRIEF. An ArcSight Management Solution
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1 SOLUTION BRIEF TIBCO LogLogic An Management Solution
2 Table of Contents 3 State of Affairs 3 The Challenges 5 The Solution 6 How it Works 7 Solution Benefits
3 TIBCO LogLogic An Management Solution State of Affairs Every successful enterprise requires a myriad of information technologies to function. Whether these are applications, networks, or security devices, every platform is generating a continuous stream of log data. This log data contains vital information about your business, but most of it will go unnoticed. The sheer amount of data makes it difficult to use. This problem, machine big data, can lead to unnecessary spending, complexity, and risk. As with every form of vital information, machine big data needs to be collected, stored, and distributed to the systems and people who need it. These systems or people have a variety of uses for this data such as security, operational intelligence, compliance, development, and business needs. One such consumer is the Security Event Manager () platform. As with most security event manager products, consumes machine data and uses complex rules to correlate multiple pieces of realtime data into a security event. For example, if you visit a company s corporate web page, at a minimum, a firewall, IDS/IPS, and a web server will log your access attempt. A security event manager has the ability to consume the logs from those three devices and by means of a rule, correlate it into a single event. That event is then analyzed and categorized as either normal behavior or something potentially malicious. Anything potentially malicious would in turn be alerted on so the event could be verified or dismissed by a security professional. The Challenges One of the main challenges with using, and most security event manager platforms, is scalability. The problem of scalability arises from the complexity and processing requirements that are inherent to security event correlation. At a high level, first the data must be consumed, then parsed and normalized, matched against a list of complex rules stored in-memory, categorized as an event, and alerted on, if applicable. Time becomes a variable in this process as well, because not all data being consumed that may help classify an event will be generated simultaneously or even in rapid succession. Additionally, statistical correlation may be used, which establishes baselines and looks for anomalies and deviations from the baselines. Because of the processing and storage load generated, has created other solutions to offload some of the processing. The first is, which can be deployed as software or an appliance, and acts as an initial consumer of machine data. This product performs some parsing and normalization of the data to a proprietary format known as Common Event Format (CEF). then forward the normalized data to for correlation. Because cannot retain the data for historical analysis or compliance requirements, the data is usually also forwarded to a third platform known as Logger. Logger can act as an intermediary between and. Finally, Threat Response Manager is needed to manage the events generated by multiple platforms. A typical enterprise deployment is depicted below. 3
4 TRM Security Logger Compliance Logger Operations Logger Development Finance As pictured, the deployment can become quite complex and difficult to manage. Even more management overhead is generated by the full-time employees (FTEs) needed to manage the complex correlation rules. Such complex correlation rules need constant fine-tuning to lessen the amount of false positive alerts that are sure to be generated in any environment. Storage will also be a major factor to consider. As mentioned, normalize machine data into CEF, greatly increasing the size of messages. Some messages are increased 10 times in size, which means that even if an excellent storage compression ratio of 10:1 is achieved, it is of negligible benefit. Also, if there are compliance requirements in the enterprise, most likely a copy of the raw or native message must be kept as well. This means that each message will be stored twice, once in native format and once in CEF. An additional challenge arises because the solution is licensed based on how much data it ingests. The challenge of volume-based licensing is that a fixed cost can rarely be established. As the deployment expands and the enterprise grows with the Internet of Things continuing to generate more machine data, the licensing cost grows as well. Many times unforeseen events, such as a denial of service (DOS) attack, can cause these costs to increase rapidly. These unknown costs and unforeseen events can pose a real challenge to managing an deployment in the enterprise. Also, as pictured above, is mainly a security tool with some limited compliance applications. Yet the information contained in an enterprise s machine big data can have benefit for a variety of use cases across all departments. These concerns can add to the budgetary challenge of managing an deployment because in most instances other departments will have their own solution for analyzing the machine data that they need. 4
5 To summarize the challenges being faced by enterprises trying to deploy, it mainly comes down to cost. In addition to the cost of a volume-based license and its unpredictable growth are factors like procurement, maintenance, and storage. There s also the cost of FTEs that deploy the platforms and continuously fine-tune the correlation rules. On top of these costs is the chance for unforeseen events that create huge spikes in the amount of machine data being generated. With this in mind, the need for volume management solution becomes clear. The Solution Just as normal Internet traffic needs to be routed, filtered, and secured, the same is true for machine big data. Similar to a proxy server, load balancer, or any other network device, a true machine big data solution needs to not only collect this data, but also filter and securely forward it to its destination. The TIBCO LogLogic solution is unique in its filtering and forwarding functionality as well as its enterprise scalability. These features are some of the reasons why many companies choose LogLogic for enterprise logging as a service (LaaS). How can TIBCO LogLogic s LaaS solution manage an deployment? By using LogLogic as the collection and storage layer for machine big data, you can securely and transparently filter and forward the machine data that consumers, such as, receive. This approach will help reduce the costs of an deployment. By filtering and limiting the required data that needs to meet your enterprise s security use cases, you no longer need to use Logger as a machine data management solution, creating a fixed cost surrounding your license and TCO. As depicted in the following graphic, this tactic means less maintenance and a much smaller footprint. Connections Security Connections Operations TIBCO LogLogic Compliance Development Finance 5
6 How it Works The TIBCO LogLogic platform can securely collect machine big data via a variety of methods as required by the log source. For example, data may be transmitted through a secure shell (SSH) connection or retrieved via a secure copy (SCP) file transfer. Once the machine big data is collected, the LogLogic system performs a secure hash algorithm (SHA-256) of the data to prove integrity. Additionally, granular data retention policies allow for custom retention periods for different sets of log data so that only the data your enterprise needs is retained. This data can be retained on the LogLogic system for up to 10 years, as well as searched, reported, and alerted on. Most enterprises will also need this data filtered and forwarded in real time to a variety of destinations or consumers, including. Some other examples of machine data consumers include: Security operations centers (SOC) Managed security service providers (MSSPs) Governance, risk, and compliance (GRC) applications Data analytics software such as Splunk Network monitoring solutions Software development tools The TIBCO LogLogic filtering and forwarding functionality allows for the creation of rules to securelyroute the machine big data to any destination in real time. Now anyone within the enterprise has the capability to access the data they need when they need it, and without a large deployment that only benefits security and compliance. Mar 7 04:20:00 avas CROND[11372]: (cronjob) CMD (/usr/bin Mar 7 04:15:00 avas CROND[11352]: (mailman) CMD (/usr/local/bi Mar 7 04:15:00 avas CROND[11351]: (cronjob) CMD (/usr/bin/mrtg /et Mar 7 04:10:00 avas CROND[11255]: (mailman) CMD (/usr/local/bin/pytho Mar 7 04:10:00 avas CROND[11257]: (cronjob) CMD (/sbin/dcccollect.sh) Mar 7 04:10:00 avas CROND[11254]: (cronjob) CMD (/usr/lib/sa/sa1 1 1) Mar 7 04:10:00 avas CROND[11253]: (cronjob) CMD (/usr/bin/mrtg /etc/mrtg/mrtg.cfg) Mar 7 04:05:00 avas CROND[11234]: (mailma Mar 7 04:05:00 avas CROND[11234]: (mailman) CMD (/usr/local/b Mar 7 04:05:00 avas CROND[11233]: (cronjob) CMD (/usr/bin/mrtg /etc/mrtg/mrtg.cfg) n) CMD [21/Feb/ :45:59] "GET /search_by_subject?search_learn_e [21/Feb/ :45:21] "GET /course/19/detail HTTP/1.1" [21/Feb/ :44:39] "GET /search_by_author?search_le [21/Feb/ :44:11] "GET /course/1894/detail HTTP/1.1 Mar 7 04:20:00 avas CROND[11372]: (cronjob) CMD (/usr/bin/c Mar 7 04:15:00 avas CROND[11352]: (mailman) CMD (/usr/local/bin/p Mar 7 04:15:00 avas CROND[11351]: (cronjob) CMD (/usr/bin/mrtg /et) Mar 7 04:10:00 avas CROND[11255]: (mailman) CMD (/usr/local/bin/python -S Mar 7 04:10:00 avas CROND[11257]: (cronjob) CMD (/sbin/dcccollect.sh) Mar 7 04:10:00 avas CROND[11254]: (cronjob) CMD (/usr/lib/sa/sa1 1 1) Mar 7 04:05:00 avas CROND[11234]: (mailman) CMD (/usr/local/bin/python -S /usr/local/mailman/cro Mar 7 04:05:00 avas CROND[11234]: (mailma Mar 7 04:10:00 avas CROND[11253]: (cronjob) CMD (/usr/bin/mrtg /etc/mrtg/mrtg.cfg) Mar 7 04:05:00 avas CROND[11233]: (cronjob) CMD (/usr/bin/mrtg /etc/mrtg/mrtg.cfg) n) CMD [21/Feb/ :45:59] "GET /search_by_subject?search_learn_exp=al [21/Feb/ :45:21] "GET /course/19/detail HTTP/1.1" [21/Feb/ :44:39] "GET /search_by_author?search_lear [21/Feb/ :44:11] "GET /course/1894/detail HTTP/ Mar :54:39: %PIX : Built UDP connection for Mar :54:33: %PIX : Deny TCP (no connectio Mar 7 04:10:00 avas CROND[11255]: (mailman) CMD (/usr/local/bi8.2 Mar 7 04:10:00 avas CROND[11257]: (cronjob) CMD (/sbin/dcccollect.sh) Compliance Mar 7 04:10:00 avas CROND[11254]: (cronjob) CMD (/usr/lib/sa/sa1 1 1) Mar 7 04:10:00 avas CROND[11253]: (cronjob) CMD (/usr/bin/mrtg /etc/mrtg/mr Mar 7 04:05:00 avas CROND[11234]: (mailman) CMD (/usr/local/bin/python -S /usr/loca [21/Feb/ :45:59] "GET /search_by_subject?search_learn_exp=algebra-ii-examples HT Mar 7 04:05:00 avas CROND[11234]: (mailma Mar 7 04:05:00 avas CROND[11233]: (cronjob) CMD (/usr/bin/mrtg /etc/mrtg/mrtg.cfg) [21/Feb/ :45:21] "GET /course/19/detail HTTP/1.1" n) CMD [21/Feb/ :44:39] "GET /search_by_author?search_learn_exp=my [21/Feb/ :44:11] "GET /course/1894/detail HTTP/1.1" Mar :54:39: %PIX : Built UDP connection for faddr 194. Mar :54:39: %PIX : Deny TCP (no connection) fro SEM Mar :54:38: %PIX : Built UDP connection f Additionally, each destination will only receive the data it needs, helping to avoid overloading the consumer or over-extending its licensing. The end result is a streamlined LaaS architecture that reduces enterprise costs in many ways including by affecting management overhead, network congestion, storage requirements, data security, and licensing needs. 6
7 Solution Benefits TIBCO LogLogic s LaaS platform does not have any volume-based licensing so you never have to worry about unpredictable costs. The LogLogic LaaS solution has a fixed cost that in most cases provides proven savings and ROI in under two years, especially when used to manage your deployment. In many scenarios, a single LogLogic appliance can ingest machine data at a rate that requires three to six loggers. The following value model shows this scenario. TIBCO LogLogic & Cost Cost ($) Lower Higher Low GBs of Indexed Data per Day High Only with LogLogic Since LogLogic is now managing your machine big data, you no longer have to worry about massive storage requirements driven by the explosive size of the CEF and the need to store every message twice. Your data retention policies are now quickly and easily managed using LogLogic granular retention rules. Additionally, indexed machine data retention policies can be separated from raw machine data retention policies. This separation means improved use of storage resources and the ability to search through compressed raw machine data during time periods outside of your index retention period. The TIBCO LogLogic LaaS platform offers an effortless lifecycle and is truly plug and play. Setup of the solution is quick and easy, and it does not require an FTE to manage it. With this ease and flexibility, it is never too late to put the brakes on an deployment that is growing too rapidly or becoming too costly to scale. A TIBCO LogLogic appliance can be inserted into your environment in front of machine data sources to immediately stem the flow of too much data being sent to. Additionally, while the TIBCO LogLogic solution can parse and normalize machine data, it always stores 100 percent of the raw machine data, so it can act as your machine big data system of record. Furthermore, any data modification can occur at the machine data consumer, in this case. LogLogic also contains many enterprise features such as high availability so you never have to worry about losing machine data. Look to TIBCO LogLogic as a true LaaS platform that will provide an management solution while managing all of your machine big data, making sure it is delivered to your machine data consumers in real time. TIBCO Software Inc. (NASDAQ: TIBX) is a global leader in infrastructure and business intelligence software. Whether it s optimizing inventory, cross-selling products, or averting crisis before it happens, TIBCO uniquely delivers the Two-Second Advantage the ability to capture the right information at the right time and act on it preemptively for a competitive advantage. With a broad mix of innovative products and services, customers around the world trust TIBCO as their strategic technology partner. Learn more about TIBCO at Global Headquarters 3307 Hillview Avenue Palo Alto, CA Tel: Fax: , TIBCO Software Inc. All rights reserved. TIBCO, the TIBCO logo, TIBCO Software, and TIBCO LogLogic are trademarks or registered trademarks of TIBCO Software Inc. or its subsidiaries in the United States and/or other countries. All other product and company names and marks in this document are the property of their respective owners and mentioned for identification purposes only. 7 exported29apr2014
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