Anticipate, prepare for, and visualize potential threats powered by VicOne's Automotive Security Foresight (ASF)
Beyond a Single Vector
Leverages cybersecurity threat intelligence and AI/ML, correlating data across multiple layers detecting attacks
Support OEM's existing data from vehicle and server and tomorrow's advanced IDPS on ECUs
Foresights to Mitigate Risk
Look beyond future short-term threats and onto longer-term strategic planning with xNexus. The xNexus powered by VicOne's Automotive Security Foresight (ASF) is an evidence-based knowledge developed and refined for 30+ years, and includes a large number of in-house researchers, automotive partners, law enforcement, independent researchers from the ZDI. This combination has given rise to its global success in timely collecting, processing, and analyzing data from potential cyber threats, resulting in enhanced planning, detection, reaction, and mitigation of sophisticated cyberattacks.
Security Foresight (ASF)
Automotive Industry Partners
World’s largest vendor-agnostic bug bounty program
Partnerships w/Law Enforcement
Threat News . CVE . Vulnerability Study . 3rd Party security Source
Reduced Time to Detect Threat Correlations
xNexus defends vehicles without compromising speed and performance by collecting and correlating deep activity data across multiple vectors, enabling cross-layered detection and investigation. With an overall contextual view, events that seem benign on their own suddenly become meaningful, enabling timely response by VSOC teams.
Incident Detection: Incident alerts. Enable rapid investigation and response by drilling down to the execution profile and identifying the scope of the impact, while also prioritizing and processing alerts by severity.
Advanced Security Analytic Engine (SAE): The advanced Security Analytic Engine (SAE) detects and tracks attackers across one or more layers so security teams can quickly visualize the story of an attack and respond faster and more confidently.
When an incident arises, it's critical for cross teams to timely communicate and investigate while utilizing the same language. With the xNexus, incident responders can easily collaborate, identify potential threats and immediately work across teams to mitigate these issues.
- Mapping automotive threats. Learn which threats in the ATT&CK Matrix can be used in cyberattacks against vehicles.
- UN R155 Annex 5 Mapping. See your security risks trends in each categories.
- Detailed Anomaly (RCA) Events. Conveniently audit abnormal values from a given time period for further hunting.
Enabling Timely Threat Response
Deep endpoint and attack visibility that displays anomaly timelines enable fast response times and can minimize the damage from malicious activities. With the Anomaly Analytic Engine and a focused incident response team, threats can be responded immediately when an incident occurs.
Anomaly Detection:- Context Analytic Engine. Detects behaviors and events that violate rules by using a defined whitelist.- Anomaly Analytic Engine. Observing abnormal behaviors and events through machine learning.
Supports Various Data Sources
Work with data received from heterogeneous data sources. Whether from our xCarbon (IDPS) or an OEM’s cloud-based data, the platform is flexible to provide detection and response.
Detecting Electronic Power Steering ECU Firmware Modification
Protecting a Telematics Control Unit From Remote Attacks
Mapping Automotive Threats to Perform Threat Investigations
Uber Says Lapsus$ Behind Recent Cybersecurity Incident
Uber links last week’s multifactor authentication (MFA) fatigue attack to the hacker group Lapsus$.
Securing the Automotive Supply Chain Through Software and Vulnerability Management
The automotive supply chain faces many hurdles ahead, from complying with new regulations to dealing with vulnerabilities and preparing for threats on the horizon. How can it equip itself to handle these challenges?
Uncovering Log4j Vulnerabilities in Connected Cars
Log4Shell was a critical flaw found in Apache Log4, a widely used Java-based logging library. In this entry, we discuss how this severe vulnerability could impact connected cars and how to better prepare for similar imminent threats.