Top ITOA predictions for 2016
The ITOA Landscape’s 2016 ITOA Predictions list features exclusive quotes from the recently recognized IT Operations Analytics Leaders list (the ITOA50), as well as the leading analysts focused on ITOA.
John Sullivan: Vice President of Sales at Prelert
With more than 20 years of sales leadership experience, John Sullivan will be responsible for leading worldwide sales of Prelert’s machine learning anomaly detection and behavioral analytics solutions.
IBM to tackle fraud with Iris Analytics
It's not just big banks that are looking to machine learning to reduce fraud. The Orrstown community bank in Pennsylvania built its fraud detection system using the Prelert behavioral analytics package.
Cybersecurity's naughty and nice list
As we welcome 2016, it's a good time to reevaluate the IT security practices that have been working, and those that haven't.
2016 DevOps Predictions
Prelert joins industry experts in outlining predictions for DevOps in 2016 with a focus on analytics.
2016 Application Performance Management Predictions
Prelert joins industry experts in outlining predictions for APM in 2016 with a focus on ITOA.
Small, community banks using machine learning to reduce fraud
Machine learning is often held up as a cure for all ills. Here's a real-world use case of machine learning being put to good use.
Machine Learning Is Cybersecurity’s Answer to Detecting Advanced Breaches
Mike Paquette, VP of Products at Prelert, highlights how forward-thinking organizations see machine learning as an absolutely essential component to detecting today’s advanced cybersecurity threats early.
On Alert for Anomalies
Equens, one of Europe’s largest payment providers, uses Prelert to reduce the amount of time its engineers work to find problems, and to prevent issues from creeping up again.
Why IT Pros Are in Denial of Security Threats
IT security pros don't regard themselves as potential targets of cyber-attacks, possibly accounting for a lack of cyber-preparedness.
Data Scientists and the Practice of Data Science
The Democratization of Data Science: Taking a scientific approach to analyzing data is not only valuable to data workers; it is also valuable for people who consume, interpret and make decisions based on the analysis of those data.
Machine Learning: Perception Problem? Maybe. Pipe Dream? No Way!
Guided by an organization's internal security experts, 'algorithmic assistants' provide a powerful new way to find anomalies and patterns for detecting cyberthreat activity.
Math to the rescue! Try this novel hacking defense
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's Anomaly Detective does.
6 Lessons Learned from Anthem Data Breach
Anthem's recent data breach reveals some things Anthem did right – and some it did wrong. Other enterprises can learn from its actions.
Campus fraud firewalls
Four ways technology and vigilance can help head off employee embezzlement and other financial fraud
Security Analytics Still Greenfield Opportunity
Surveys out this week show improvement in the use of analytics and threat intelligence but room for better execution.
Security Pros Want Automated Security, but Hesitate to Deploy It
The survey, sponsored by security analytics firm Prelert, found that most security experts considered the automated analysis of security data to be very important to detecting future attacks, but that most companies still relied on human analysts to prioritize potential security alerts.
Half of IT Security Pros Believe They’re an Unlikely Target for Attack, Finds Ponemon Institute Study
90 percent believe security analytics is either essential (19 percent), very important (45 percent) or important (26 percent) to their organization’s ability to maintain strong security.
Half of IT Security Pros Don't Think Their Organization Will Be Attacked
The survey, sponsored by Prelert and conducted by the Ponemon Institute, also found that fully 61 percent of respondents don't feel confident in their organization's ability to detect advanced threats.
Half of US Security Pros Feel safe from Attack
Much like how voice recognition technology has advanced rapidly in the past few years, so has machine learning-based security analytics technology. Organizations should be adding this effective capability to their advanced threat detection programs sooner rather than later.
Half of IT security pros think their organizations are unlikely attack targets
According to a new study published by the Ponemon Institute and sponsored by behavioral analytics specialist Prelert, half of IT security practitioners in the US view their organization as an unlikely target for attack.
Advanced Threat Detection with Machine-Generated Intelligence
Machine-generated intelligence provided by near-real-time technologies can improve threat detection and the ability to determine baseline or “normal behavior” in order to detect abnormal behavior.
Prelert improves insight into problems and threats
Finding anomalies in data sets is an effective way of identifying performance issues or indicators of compromise. Being able to link those anomalies together would be even more effective, and that's what a new tool from Prelert does.
Samsung Research America Announces Networks Open Innovation Event Winners
Samsung Research America hosted its first Networks Open Innovation Event (OIE) to help Samsung find innovative partners to grow business together. Prelert is proud to be a Networks OIE winner.
Thought Leaders in Cyber Security: Mark Jaffe, CEO of Prelert
Sramana Mitra interviews Mark Jaffe in this six part series that focuses on machine learning and cyber security.
Real-Time Analytics: 10 Ways To Get It Right
While real-time analytics is getting more affordable, it's still not right for everything. Here are 10 ways to get the most from real time, near real time, and batch use cases.
18 Ways to Ensure Mobile App Performance
APMdigest asked industry experts – from analysts and consultants to the top vendors – to recommend the best ways to ensure mobile app performance.
Tech Leaders Enlist Analytics to Fight Cyber-Crime
IT professionals are using advanced security analytics to identify and mitigate cyber-crimes before they have a significant impact on their organization and customers, according to a new report.
Startup Spotlight: Prelert's Anomaly Detection
Prelert first sold its anomaly detection technology to IT operations teams – but then customers begged them to create similar products for enterprise security.
The behavior behind the breaches
The corporate IT department is not just a security guard for increasingly valuable data, it must also keep the technology infrastructure up and running at all times so that data flows without interruption, enabling all to do their jobs.
What Will Be Boston's Next Cybersecurity Exit After Rapid7?
4 local IT security companies are considered IPO candidates for this year, while other firms could be acquisition targets.
Your next digital security guard should be more like RoboCop
Machine intelligence can be used to police networks and fill gaps where the available resources and capabilities of human intelligence are clearly falling short
Overwhelmed with alerts and false positives: Why security analytics is on the rise
Companies are becoming overwhelmed with data about security alerts, and it’s hindering their ability to make informed decisions about data protection.
20 Top Factors That Impact Website Response Time
APMdigest asked industry experts – from analysts and consultants to the top vendors – to outline the most important factors that impact website response time.
Study: Enterprises inundated with too many false positives, security alerts
A new study shows enterprises with security analytics are confident in their threat detection capabilities, while those without are overwhelmed by copious false positives and alerts.
Security analytics scores high in value, low in penetration
Security analytics had the highest perceived value compared to its cost, according to a survey of information security professionals released Monday.
Traditional security approaches produce too many false positives
According to 62 percent of IT professionals traditional security approaches produce too many alerts and false positives for them to handle. This is among the findings of a new study, which shows that 25 percent of organizations know they experienced a breach or significant cyber attack that incurred loss last year.
Automating incident response lets IDT take battle to the enemy
By automating the incident response process, IDT was able to reduce the time before the infection was quarantined, shorten the remediation cycle, reduce investigation time, and free up security staff to go after the bad guys themselves.
Hospital group criticized for emailing health information
Partners should have known better than to allow employees to send sensitive patient data via email.
These are the 35 companies putting Massachusetts on the cybersecurity map
Massachusetts is home to 35 of the world's most innovative cybersecurity firms, according to a Silicon Valley report from Cybersecurity Ventures.
Bringing Alert Management into the Present with Advanced Analytics
Advanced machine learning systems will fundamentally change the way data is converted into information over the next few years.
Blue Coat Systems and Prelert Partner to Provide Anomaly Detection in Security Solutions
With the Prelert solution, Blue Coat can further enhance its advanced threat protection offering with analytics designed to automatically distinguish normal and abnormal behaviors essential to identifying today’s advanced threats.
5 Lessons Learned from Anthem Data Breach
Anthem's recent data breach reveals some things Anthem did right – and some it did wrong. Other enterprises can learn from its actions.
18 Ways to Ensure Application Performance Before Rollout
Prelert joins industry experts from across the industry for their recommendations on the best ways to ensure application performance before app rollout, with a focus on testing and analytics.
The Risks of a Big Man-Made IT Disaster are on the Rise
IT services are but one human error away from a spectacular failure, and there's very little evidence to suggest that we've found a way to stop people from making mistakes.
Prelert's Anomaly Detective: Finding Black Swans in Big Data
Anomalies are easy to find when they're big and frequent but what do you do when they're small and rare?
APTs: Minimizing losses with early detection
Organizations should awaken to the fact that there is no defense sufficient to prevent APTs and that the emphasis must be shifted to early detection.
Obama proposes new 30-day data breach notification law
The president believes that data breaches hurt the economy. While early notifications may help, companies need to proactively take steps to identify breaches earlier.
Bolted Down Tight
Five steps for sustaining rigorous network security against constant cyberattacks.
Top ITOA Predictions for 2015
The 2015 ITOA Predictions list features quotes from recognized IT Operations Analytics (ITOA) Leaders, as well as the leading analysts focused on ITOA.
The 10 Coolest Security Startups Of 2014
In this list of security startups, CRN pulled together vendors trying to not only provide innovative ways to detect threats, but also respond to attacks.
15 APM Predictions for 2015
Prelert joins industry experts in outlining predictions for APM in 2015 with an eye towards big data, analytics, and dashboards.
Founding Stories: The Moments and Sources of Inspiration
This look at startup founders and inspiration focuses on how Prelert's early days. Prelert started when CTO, Stephen Dodson, was trying to solve a problem, and realized that statistical analysis tools that use machine learning could automate complex processes.
Big Data analytics to the rescue
In the battle against cyber criminals, the good guys have suffered some heavy losses. So how can an IT security organization ensure they are not the next target?
18 Tools to Ensure Performance During Cyber Monday and the Holiday Shopping Season
APMdigest asked experts from across the Application Performance Management (APM) industry for their opinions on how to best prepare for the challenges of Black Friday, Cyber Monday, and the Holiday Shopping Season.
IoT Won’t Work Without Artificial Intelligence
As the Internet of Things (IoT) continues its run as one of the most popular technology buzzwords of the year, the discussion has turned from what it is, to how to drive value from it, to the tactical: how to make it work.
What CIOs Can Learn From the Biggest Data Breaches
A postmortem analysis of some of the biggest recent data breaches offers IT leaders several pieces of advice for staying a step ahead of hackers.
The Internet of Things: 3 Security Requirements
The Internet of Things is highly vulnerable – and it is not going away. It must, therefore, be secured. Here is an outline of expert advice on some basic steps that every organization with an IoT solution should implement or at least seriously consider.
Predictive analytics startup Prelert receives $7.5M from Intel Capital, others
Prelert, a Framingham-based provider of machine intelligence-based predictive analytics aimed at identifying cybersecurity threats, said it raised $7.5 million from Intel Capital and existing investors Fairhaven Capital Sierra Ventures.
Prelert Aiming To Make Its Mark In Advanced Security Analytics
A new crop of emerging advanced security analytics vendors are promising to exceed security and information event management platforms and provide the visibility and context that incident responders need to investigate the riskiest threats to the network.
Prelert Cuts Big Data Down to Size for Real-Time Analysis
Prelert, a specialist in anomaly detection, has a solution in the form of its new Stats Reduce feature that can dramatically shrink data transfer sizes by up to 40 times. This cuts the time it takes to transfer data but retains its integrity to ensure accurate results.
If You Want IoT, You Need the Cloud
Experts at Boston's Connected Cloud Summit argue that the cloud and the Internet of Things are necessarily intertwined. Prelert joined other industry executives at this conference, and Stephen Dodson, CTO of Prelert, led the discussion of understanding the data being collected by devices.
Alert Logic Adds Machine Learning Analytics to Security as a Service
Alert Logic is adding machine learning analytics capabilities to its security-as-a-service offerings through an OEM partnership with Prelert. Alert Logic will add Prelert's machine learning functions to enhance its existing capabilities for detecting threats that are designed to bypass traditional, signature-based approaches.
How to Detect (and Resolve) IT Ops/APM Issues Before Your Users Do
Among the most embarrassing situations is first hearing about a critical performance issue from users. With technology getting increasingly complex and IT environments changing almost overnight, the reality is that even the most experienced support teams are bound to miss a major problem with a critical application or service.
Making Sense of IoT Data with Machine Learning Technologies
Prelert automates behavioral analytics allowing its customers to discover real-time insights while minimizing upfront investment. Recently, Prelert teamed up with a major metropolitan city to help solve its traffic congestion issues and become a “Smart City" by studying patterns within its data.
Democratizing Machine Learning In Anomaly Detection
Anomaly detection company Prelert has released an Elasticsearch Connector to help developers deploy its machine learning-based Anomaly Detective engine on an Elasticsearch ELK (Elasticsearch, Logstash, Kibana) stack.
Why What You Don't Know, May Hurt You
Attackers try hard to mask their activities and fly below the radar of your security paradigm - but their behaviors will be anomalous. Automated Anomaly Detection provides security analytics that uncover early signs of data theft, rare or new processes on your system, and population or peer outliers.
Prelert adds Elasticsearch connector to open up big data
Big data analysis can open up valuable insights that are locked up in databases, but releasing that information without access to a team of data scientists isn't easy. Analytics company Prelert is aiming to make big data accessible and valuable for all businesses with its anomaly detection engine.
Prelert Extends Anomaly Detection to Elasticsearch
Prelert, the anomaly detection company has released an Elasticsearch Connector to help developers quickly and easily deploy its machine learning-based Anomaly Detective® engine on Elasticsearch.
Finding Unknown Threats with Anomaly Detection
Despite the wide array of advanced security technologies available, data breaches still happen. Automated anomaly detection based on unsupervised machine learning can quickly uncover intrusion attempts before widespread harm can occur.
When Internet of Things Meets Big Data
IoT will exponentially increase the volume, variety, and velocity of data, but that's not all you need to worry about. Early detection of anomalies is essential to remedy issues before they become larger problems or to quickly clean up after a failure.
How Security Analytics Help Identify and Manage Breaches
Steve Dodson illustrates the importance of security analytics in today's complex security architectures, and talks about the most significant challenges involved in getting usable information from massive data sets.
Why is IT Operations Analytics (ITOA) Technology a Must for Enterprises?
Kevin Conklin discusses 5 reasons enterprises why IT Operations Analytics is a must for enterprises to improve their day-to-day IT operations.
Prelert Launches API for Its Anomaly Detection Engine
The need to turn raw data into actionable knowledge is fueling the growth of an ecosystem of young companies aiming to develop solutions that can turn data into dollars. One such company is Prelert.
Prelert Opens API to Anomaly Detective
Anomaly detection company Prelert is making a positive play for developers with its Anomaly Detective analytics engine, which is now available as an Open API for machine data stored in Hadoop and NoSQL.
Prelert’s new anomaly detection platform hopes to replace data scientists
Prelert launches an Open API version of its anomaly detection analytics engine, Anomaly Detective, furthering its mission of democratizing data science.
Drumroll: Announcing the 2014 DataBeat Innovation Showdown Finalists
Prelert is one of 10 finalists to compete for an award at VentureBeat's big data conference, DataBeat 2014.
Big Data, Big Hype?
Steve Dodson addresses questions that have been raised regarding the viability of big data. In the end, your data is only as good as your analysis.
The Game is On: Advanced Persistent Threats
SC Magazine's 11 page eBook on APTs includes best practices from experts including Prelert, Splunk, HP, AT&T and BAE Systems.
Game Changing ITOA Use Cases: Ensure Compliance with ITOA
Kevin Conklin discusses how anomaly detection can help you stay ahead of spammers and keep your organization in compliance.
InfoWorld's RSA Preview with editor Keith Shaw focuses on data encryption and the promise of anomaly detection analytics in detecting emerging threats in big data security stores.
Splunk commissioned RedMonk analyst Donnie Berkholz to talk with Prelert about building software on the Splunk platform and the developer experience of the Splunk Web Framework.
If you can look at all your data, with machine learning you can learn what’s a normal, behavioral mode and identify things that are changing and impacting the system with cross-correlation.
"The data sciences applications vendor has signed a reseller agreement with Cymbel, an information technology solutions provider focused on security and compliance."
"Replacing franken-monitors and frameworks with the Splunk Ecosystem"
Automatically learns the normal behavior of populations of users, devices and resources, then cross-correlates data sources in real time to identify the anomalous behaviors that indicate advanced security threats
"Prelert provides advanced Security Analytics capabilities to automatically identify anomalies that IT teams need to know about."
"Vendors in the space are explicitly addressing the security use case, both directly--by pushing security data into Hadoop, for example--and by bringing big-data techniques and tools into the security space: Look at offerings from folks like Prelert ..."
"The modern practice of cyber-security is now powered by data analysis. As a result, the quality of security will be determined by the volume and quality of the data collected about your environment, and the ability to uncover threats."
"Data science is one part analysis and one part art. It gathers together data from many sources and gleans important insights. Can this demanding practice be packaged as a piece of software? Prelert believes that it can."
Big Data Journal article by Rich Collier on the capabilities that Predictive Analytics bring to Application Performance Management.
Network World article by CEO, Mark Jaffe relates end-user stories of using predictive analytics to slash troubleshooting times on seemingly unsolvable problems.
SOA World article by Karl Renneker on the advantages resellers can bring to their customers by offering predictive analytics solutions.
"Prelert provides machine intelligence-based predictive analytics. The startup's patent-pending analytics automatically mines existing management tools to find answers in huge volumes of data."
"... a new crop of predictive analytics solutions for IT operations promises not only to speed up root cause analysis; they show great promise for predicting performance issues before they're even noticed by users and providing the information for IT to correct them before there's any business impact."
"Computer Associates hopes to get an edge in the hotly competitive world of performance management with the addition of machine learning to its CA Application Performance Management (APM) tool. The addition is thanks to an OEM deal with Prelert."
"... predictive analytics can help IT teams better understand and support the business applications that are the very lifeblood of their enterprise. After all, predicting the right service to offer your online customer won't help if the customer experiences sluggish application performance."
"APM tools today need to go beyond 'human understanding' of how the IT infrastructure and overall environment behaves. "
"In terms of raw potential, Prelert may well be the powerhouse in a pack of 22 already powerful APA vendors"
"The combination of the Prelert Anomaly Detective with Splunk allows Prelert to notify customers of anomalies that the customer did not even know to go look for and that can easily be leading indicators of problems that have not yet been reported."
"Prelert released a new application yesterday that combines machine learning and predictive analytics to detect and report anomalous behavior emanating from IT infrastructure."
"these are some really hot algorithm guys, mathematicians out of Boston, who had developed … machine-learning analytics for anomaly detection and monitoring. And it's functionality that's beautifully adjacent to and complementary (to) what Splunk does." Godfrey R. Sullivan, Chairman & CEO
Prelert named finalist in "Red Herring North American 100"
Gartner names Prelert to "Cool Vendors of IT Operations Management, 2011"
"Prelert looks to outsmart predictive analytics vendors"
Prelert's focus on solving problems in the most complex application delivery environments merits funding
Prelert provides new technology approach to diagnosing complex app problems
Prelert raises $3.75 million in venture capital from Sierra and Fairhaven to manage IT incidents
Prelert is included in Enterprise Management Associate' Top 14 BSM Vendors to watch roundup