The FINANCIAL — On September 2 at HP Protect, the company’s annual enterprise security user conference, HP is unveiling new solutions centered on security analytics and designed to help organizations shift from legacy security methods to a modern approach that focuses on protecting the interactions among users, applications and data to help protect enterprises’ most valuable assets.
Organizations are inundated with security data on a daily basis and face the challenge of translating this data into meaningful insights to proactively manage threats that pose legitimate risk. With the growing volume and complexity of data, an intelligent security platform is critical – one that harnesses the power of world-class Security Information and Event Management (SIEM) capabilities for active monitoring with use-case driven security analytics that derive actionable intelligence, according to HP.
“Breach detection is top of mind for security buyers and the field of security technologies claiming to find breaches or detect advanced attacks is at an all-time noise level,” said Eric Ahlm, research director at Gartner, in a recent Gartner press release. “Security analytics platforms endeavor to bring situational awareness to security events by gathering and analyzing a broader set of data, such that the events that pose the greatest harm to an organization are found and prioritized with greater accuracy.”
Leveraging Security Analytics to Automate Threat Data Analysis
Organizations receive an average of 17,000 malware alerts per week, and spend an average of $1.27 million annually in time and resources responding to inaccurate and erroneous threat intelligence2. Due to the volume of data that enterprise security professionals must monitor, approximately four percent of all malware alerts are actually investigated2, leaving a significant gap in security coverage. Additionally, traditional endpoint security solutions and manual intervention are not intercepting all critical malware infections, leaving organizations further exposed.
To help organizations automate the analysis of threat data, HP is introducing HP DNS Malware Analytics (DMA), a unique solution designed to identify infected hosts by inspecting an enterprise’s DNS traffic. Developed in partnership with HP Labs, HP’s central research organization, and HP’s internal Cyber Defense Center, this clientless, algorithmic-driven service uncovers infected hosts without endpoint agents, helping customers to quickly detect high-risk threats, reduce data breach impact and enhance overall security posture.
“Organizations today are faced with growing volumes of security data and without the ability to separate the signal from the noise they can fall victim to undetected malware attacks, which can have serious financial and operational impact,” said Sue Barsamian, senior vice president and general manager, Enterprise Security Products, HP. “The new HP DNS Malware Analytics solution effectively puts the data science necessary to derive malware detection from voluminous DNS server events into a simple, highly efficient package for customers large and small, and when combined with the powerful HP ArcSight SIEM platform, provides next-generation SIEM capabilities to better protect the enterprise.”
HP DMA rapidly identifies malware-infected hosts such as servers, desktops and mobile devices so that they can be contained before gaining a foothold in the network. The solution uses a one-of-a-kind, algorithmic engine – as opposed to the more common rules-based approach – to analyze the high volume of DNS records. This enables the detection of new, unknown malware while simultaneously reducing false positives by a factor of 20 over other malware detection systems3. This saves valuable IT time and resources, enabling customers to prioritize and remediate based on the highest risk devices.
With simple set-up and cloud reporting, HP DMA can be rapidly deployed to offer continuous threat vigilance. The solution seamlessly integrates with the HP ArcSight SIEM platform, enabling customers to harness the power of SIEM and leverage their HP ArcSight Enterprise Security Management (ESM) deployments to correlate with other contextual data, issue alerts and signal appropriate remediation.
Integrating Application Security Data for Enhanced Intelligence
To further support HP’s focus on data-driven security, HP also introducedHP Fortify scan analytics, a first-of-its kind machine-learning technology that harnesses the power of an organization’s application security data to improve accuracy and efficiency of application security solutions. Processing an organization’s growing collection of historical application security scan results to reduce the number of issues that require an auditor’s review, the solution enables customers to focus resources on fewer, higher priority tasks. This analytics technology integrates seamlessly into existing application security testing workflows, which helps to increase both the efficiency of the application security audit process and the relevancy of findings.
Leveraging Predictive Analytics to Accelerate Detection of Insider Threats
The new HP DMA and Fortify scan analytics offerings bolster HP’s existing analytics capabilities announced earlier this year around user behavior analytics. HP User Behavior Analytics (UBA) provides customers visibility into user behavior to detect malicious or negligent users, or external attacks that compromise user accounts across the enterprise. Ranking detected anomalies and the associated risk, HP UBA allows customers to focus efforts and resources on the activities, users and applications that pose the greatest risk to the enterprise.
Pricing and Availability
HP DNS Malware Analytics will be available on September 15, 2015. One-year subscriptions start at $80,000 to analyze up to 5 million DNS packets per day.
HP Fortify scan analytics is currently available as part of HP Fortify on Demand.
HP User Behavior Analytics is currently available, with version 1.1 of the solution, UBA Premium, released on August 30, 2015. HP UBA Premium is packaged according to base identities, starting at $250 per identity and decreasing with larger deployments.