Server Security

Affordable EDR Provides Intrusion Prevention System for Server Security and Compliance

Secure on-premise servers and cloud workloads with Atomicorp’s endpoint detection and response (EDR) and intrusion prevention system. Detect threats, enforce security controls, and maintain compliance across hybrid server and cloud environments.

Server Security Through EDR

  • An EDR server security and compliance solution with intrusion prevention, file integrity monitoring, malware detection, log management, system hardening, and policy enforcement.
  • Real-time automated vulnerability and compliance scanning, alerting and enforcement.
  • Monitors millions of files distributed across tens of thousands of systems in real-time with full tracking and capture of system file changes.
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BSD, AIX, Solaris

EDR Runs Anywhere

  • Automated security that provides detection, protection and analytics for any environment—server, Windows desktops, cloud and container APIs.
  • Provides automated protection for workloads in multi-cloud, on-premise or hybrid environments, eliminating the need for multiple solutions.
  • Provides server security and compliance for legacy systems including AIX, Solaris, Ubuntu, CentOS, EOL Linux, and EOL Windows.
  • Also available in agentless security deployments.

Streamline Compliance Monitoring and Remediation

  • Support for all major compliance protocols including PCI DSS, NIST, HIPAA, GDPR, JSIG and more.
  • Automatically addresses over 100 PCI DSS technical requirements.
  • Continuous compliance monitoring and remediation help to prevent violations and avoid costly fines and penalties. Read more.
Compliance - PCI, HIPAA, GDPR, NIST
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Simplify Security Operations While Reducing SOC Costs

  • Continuous compliance monitoring and automated compliance remediation.
  • SIEM log filtering ensures that only actionable SIEM alerts are generated, making cybersecurity analysts and engineers more effective and efficient.
  • Reduces SIEM data by up to 80% to dramatically lower SOC costs without sacrificing fidelity.

Atomicorp Server Security Features

Advanced File Integrity Monitoring (FIM)

Real-time FIM detection of changes to files and registry entries. Don’t let vulnerable settings or malicious code implants put your servers, data, or endpoints at risk.

Continuous Server and Endpoint Compliance

Built-in compliance rules, controls and tools to meet security and privacy standards and requirements on servers, systems and applications. Orchestrate intrusion prevention and detection, FIM, CVE and vulnerability management, audit controls, and more. Prove PCI DSS, HIPAA, NIST, GDPR, JSIG and other compliance requirements through audits, log artifacts, and reports.

System Hardening

Automated secure configuration and continuous monitoring of the kernel, applications, and services are enforced. This reduces the attack surface by eliminating unnecessary functionality and enforcing hardened system settings.

Vulnerability Shielding / WAF Protection

Host-based WAF protection against workload attacks, e.g., botnets, SQL injections, CSRF, remote file injection, and watering hole attacks.

Malware Memory Analysis

Scans and detects fileless malware running in memory.

Deception

Creates imitation vulnerabilities, systems, and data to lure attackers into interaction. This enables high-confidence detection and validation of malicious activity.

Server EDR and Behavioral Monitoring

Log-based intrusion detection and active response integrated with machine learning identifies system and user behavioral anomalies in network communications, processes launched, and files opened.

Microsegmentation

Provides flexible and granular control of workloads, network flows, payload, and processes for servers, endpoints, data center workloads.

Application Control and Visibility

Provides self-learning, and least-privilege-based and role-based access controls on applications.

Antivirus / Anti-Malware

Real-time virus and malware scanning and quarantine, plus central AV management and load optimization. 

Workload Based Machine Learning

Models normal system and user behavior to identify anomalies.

Cloud Based Machine Learning

Leverages community threat intelligence to identify global attack trends and provide real-time notifications that enable systems to automatically protect workloads against attacks they haven’t yet seen.

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