Power, gas, and electric companies face many of the same cyberthreats that plague other industries: ransomware, data theft, billing fraud, insider threats, and more. However, the energy sector faces heightened risks because cyberattacks in this industry have broad ramifications on the operations of critical infrastructure. Nation-state actors and other sophisticated cybercriminals are targeting utility and energy providers and their delivery systems as part of broader campaigns. Companies need to take a proactive, pre-emptive approach to detecting and stopping modern cyberattacks.
- Collect data from any type of source
without escalating costs due to licensing and storage
- Consolidate, correlate, and normalize
all security context into a single console
- Automatically detect threats
out-of-the-box and in real-time
- Reduce noise and eliminate false positives
by prioritizing context-driven investigations
- Enable automated risk-driven response
delivered in targeted Playbooks
- Adhere to threat framework models
for cybersecurity protection such as MITRE ATT&CK and the NIST Cybersecurity Framework
Gurucul has created a purpose-built Cloud-Native security operations platform that goes beyond current XDR, SIEM and other SOC solutions to empower security analysts. With a consolidated set of capabilities, the platform helps to automate tasks beyond just collection and correlation and provides a full set of capabilities for threat detection, investigation, and response (TDIR). The Gurucul Security Operations Platform is powered by the most advanced and comprehensive analytics and trained machine learning (ML) and Artificial Intelligence (AI) models. While other solutions use rule-based ML/AI, we are focused on ingesting as much data as possible, applying a wide area of analytics and using true ML/AI to adapt and learn to newer threats.
TOP ENERGY & UTILITIES USE CASES
On the rise globally, ransomware attacks are a formidable threat in this industry. The attack on Colonial Pipeline in 2021 shows both the vulnerability to ransomware and the extreme impact of such an attack. Gurucul’s risk analytics engine prevents these fileless attacks by stopping the malicious payload at download. Even if it were to successfully download onto the endpoint, the additional steps of running scripts and running exploits and attacks in memory can be stopped.
Insider Threat Detection & Deterrence
Gurucul uniquely leverages years of research associations with CMU CERT including their insider threat database of real-world incidents to develop, test and refine machine learning behavior models. The platform identifies high-risk profiles with abnormal behaviors associated with potential sabotage, data theft, or misuse.
Zero Trust Controls
Implementing Zero Trust controls is a top priority across public utilities and private sector energy companies alike. Gurucul’s User and Entity Behavior Analytics (UEBA) enables Zero Trust controls by detecting and stopping malicious behavior from wherever it occurs, whether it’s by external cyberattacks or malicious insiders. UEBA detects unknown threats from early in the kill chain.
Compliance with NERC CIP and other industry and cybersecurity regulations requires a broad range of tools and a coordinated approach that is facilitated by a unified security and risk analytics system. Gurucul provides out-of-the-box compliance monitoring and reporting.