This whitepaper discusses the synergies between Application Performance Management (APM) and security monitoring for limiting the time it takes to realize there is a security issue within the environment through the use of a common interface that developers and operations employ on a daily basis. With security looking at the same data, there is a single tool around which discussion and processes can be built to reduce breach detection times to minutes instead of days or months.
Behavioral analytics solutions for retail offer early detection of revenue-impacting events for business operations teams.
When looking at options for behavioral analytics and anomaly detection, you will find that what makes the real difference is the quality of the math or the statistical methods on which a solution is based. The better the math, the more accurate the results, and the more broadly applicable and scalable the solution. This technical brief includes a comparison of Prelert's analytics against the popular Holt-Winters method.
Can drilling into logs tell you whether you have been — or are being — hacked? Yes, if you use advanced math to look for weird variations like Prelert does.
Half of IT Security pros believe they're an unlikely target for an attack - yet 61% lack confidence in their ability to detect advanced threats. The latest Ponemon Institute study exposes this contradiction as well as many other disconnects that IT professionals have between perception and reality.
The latest security research from EMA studied 18 security technologies year over year to determine that 95% of security analytics users are confident they can detect a data breach, security analytics tied for first place in value vs. TCO, and other insights.
This infographic displays at a glance what keeps organizations from being confident on breach detection, the 6 value drivers of advanced analytics, and the top 5 uses of security analytics. All statistics based on the EMA analyst report, Data-Driven Security Reloaded.
Learn how IT Ops and APM professionals use anomaly detection software every day to help them cut through overwhelming false alerts, reduce troubleshooting time, and automatically detect potential problems before they spiral into major user issues.
By leveraging machine learning and behavioral analytics, anomaly detection can quickly determine a "normal" baseline from months of past data, and immediately and automatically identify any abnormalities - more accurately and efficiently than writing alert rules ever could.
These articles provide instruction, and can be used as a guide to test drive use cases for machine learning anomaly detection.
Anomalies are easy to find when they're big and frequent but what do you do when they're small and rare?
Advanced operations analytics is a term for big data as used by IT for a variety of use cases including security, IT Ops, and APM. This free report shows that effective advanced analytics investments blend those use cases and promote more beneficial ways to work across IT.
Get this great eBook from ITOA Landscape on a collection of game-changing insights from 7 of the brightest thought leaders in IT Operations Analytics and how impacts common use cases facing IT management today.
This 7 page academic paper shows how the analytics and statistical methods behind anomaly detection solve the problems behind accurate application performance monitoring by enabling faster and more accurate results than traditional monitoring methods.
Learn more about our IT operations analytics solutions with Prelert's Behavioral Analytics for the Elastic Stack.
Learn more about our security analytics solutions with Prelert's Behavioral Analytics for the Elastic Stack.
Learn more about our IT operations analytics solutions with Prelert's behavioral analytics platform for Splunk.
Learn more about our security analytics solutions with Prelert's behavioral analytics platform for Splunk.
Learn more about our retail order analytics solutions with Prelert's behavioral analytics platform for Splunk.
With a winning business formula driving rapid growth of their IT infrastructure, Equens was inundated with monitoring alerts. They turned to Prelert to prioritize the alerts and slash troubleshooting times, enabling more business and data growth.
This digital marketer teamed with Prelert to detect rogue users using netstat data, find data exfiltrations, and make sense of IDS noise. Results include a shorter mean time to detection and greater visibility into advanced threats.
Anomaly Detective can help IT professionals say goodbye to writing rules and thresholds and still be more efficient and effective at finding problems and threats before they impact the business.