DEFENDING AGAINST TIRELESS ADVERSARIES
External Threat Detection with AI-Powered Context
Threat intelligence, correlation rules, and training are not always enough. While defenses for external threats are improving, the diversity and evolving nature of attacks require additional AI-powered context using machine learning (ML) and user and entity behavior analytics (UEBA).
Some Attack Methods Evade Detection
Despite vendor promises, determined external attackers continue to exploit gaps and bypass conventional security defenses. Once inside, their presence often goes undetected.
Exabeam closes these visibility gaps with an AI-powered security platform designed to detect and investigate suspicious external activity in real time. Using machine learning and behavior analytics, Exabeam identifies threats like malware, unauthorized access, phishing, ransomware, and attacker reconnaissance—empowering security teams to respond faster and more effectively.
Mitigate Malware Attacks
Exabeam analyzes web, DNS, and endpoint activities to rapidly detect malware entering or operating on an endpoint. It tracks abnormal malware behavior, such as unusual processes or file activity, using UEBA. Timelines automatically visualize events based on risk, while malware checklists assist analysts in investigations, such as identifying known malware. The malware playbook automates workflows, including sandbox file detonation.
Detect and Respond to Ransomware
With real-time data analysis, Exabeam can detect techniques and behaviors commonly associated with ransomware attacks, providing visibility into credential use, vulnerable assets, and suspicious processes or commands aimed at encrypting critical files or disabling recovery mode. Analysts can quickly investigate and respond using timelines, guided checklists, and playbooks, ensuring early intervention and appropriate next steps.
Abnormal Authentication and Access
Exabeam analyzes key data sources to detect unusual behavior like attempting to log in from a different country for the first time or at an unusual time. Exabeam contextualizes anomalous activities like login location, time, and methods based on historical user and peer behaviors. User labels such as “suspected leavers” provide an additional layer of protection, allowing analysts to identify high-risk events before an incident occurs.
Identify and Respond to Phishing Attacks
Exabeam detects phishing attacks and generates a list of compromised users. UEBA detections provide additional context to stop active compromises. A phishing checklist prescribes detailed response actions and the phishing playbook automates workflows, such as verifying threat intelligence against link reputations or email attachments.
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Explore Other Use Case Solutions
Exabeam delivers threat-focused security content that enables security teams to deliver faster, more accurate outcomes.
USE CASE
Compliance
Using manual processes and disparate products to meet regulatory requirements like GDPR, PCI DSS, and SOX exposes an organization to unnecessary risk. The stakes are high when considering audit failures, fines, and — worst case — disclosure reporting.
USE CASE
Insider Threats
Is it a trusted insider, or an adversary posing as a trusted insider? Signatures and rules can’t help when valid credentials are in the hands of an adversary. Organizations can’t fight what they can’t see.
