ExtraHop turns analysts into threat experts with Reveal(x) winter 2019

ExtraHop, a provider of enterprise cyberanalytics from the inside out, has announced new capabilities designed to help Security Operations Centre (SOC) and Network Operations Centre (NOC) teams identify and safeguard critical assets, rapidly detect late-stage and insider threats, and transform security analysts into threat experts with streamlined investigation workflows.

Demand for business agility and uptime have accelerated the rapid modernisation of IT, which is now highly dynamic and distributed – from the data centre, to cloud infrastructure and SaaS, to remote sites and device edges.

These changes introduce complexity and expand the attack surface, contributing to high rates of false positives and obscuring true threats. Analysts constantly waste time, through no fault of their own, working to validate the constant flow of alerts to determine if investigation is warranted.

The Winter 2019 release of ExtraHop Reveal(x) improves SOC and NOC analyst productivity through contextual discovery of the enterprise attack surface, full-spectrum detection and one-click guided investigation for incident response.

Advanced detections incorporate device and user context to identify known and unknown threats using an array of Machine Learning, rule-based and custom techniques. Detections incorporate suggested next steps and are made actionable through clear evidence, enabling front-line analysts to validate, close or escalate prioritised events with confidence. Senior analysts get timely detail on users and devices to support rogue device detection, insider threat investigations, threat hunting and forensics.

Significant features of the Winter 2019 release include:

• User-to-device mapping: Easy correlation between users and devices allows analysts to investigate quickly, expediting validation without the need to cross-reference with other tools
• OS auto-discovery: Operating system (OS) auto-discovery confirms and compares the OS each device is using with known behaviours of those systems to identify spoofing
• Enhanced role classification: Expanded role auto-classification uses behaviour to automatically infer more device types (e.g., mobile device, DHCP server, domain controller or DNS server) and then maintains groupings to keep analysts focused on what matters most
• Dynamic device grouping: Sophisticated device grouping permits users to define complex rules for extensive attributes and behaviour to better prioritise monitoring, detection and triage
• Advanced rules engine: The advanced rules engine immediately detects known threats, policy violations and risk-based detections
• Guided Investigation Workflows: One-click guided investigations link each detection to the right next steps, as well as the most relevant device’s transaction and behaviour details, for instant validation of threats and faster MTTR
• Expanded Integrations: ExtraHop now integrates with ServiceNow CMDB, QRadar SIEM and Palo Alto Networks firewalls

“Forcing analysts to switch between tools or manually pull together disparate data for an investigation increases cognitive load, delay and the chance of missing a critical piece of evidence,” said Jesse Rothstein, CTO and Co-Founder, ExtraHop. “Our focus in this release is to bring authoritative data about every device’s communications, OS, users and network behaviour into a contextual workflow that guides analysts to the right answer immediately.”

With ExtraHop, security and IT teams can detect threats up to 95% faster, reduce resolution time by nearly 60% and decrease unplanned downtime by as much as 86%. The innovative ExtraHop approach has been recognised by numerous organisations including Credit Suisse, JMP Securities and leading independent analyst firms including Enterprise Management Associates.