Breaking Down the Real Meaning of an XDR Solution
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Learn how contextual threat intelligence helps prevent social engineering attacks by analyzing
Organizations face mounting pressure from cyber threats that exploit detection delays. Industry data shows breach costs averaging $4.45 million per incident, with late detection driving exponential damage. Attackers typically operate undetected for 197 days, establishing deep network presence before discovery.
An indicator of compromise is digital evidence or a signal that a network or endpoint has been breached or that malicious activity has occurred.
Real-time indicators of compromise (IoCs) detection breaks this cycle. Immediate threat identification coupled with automated response substantially reduces business impact and operational disruption.
IoCs represent digital evidence of malicious activity within organizational networks. These forensic artifacts appear in three distinct categories and help security teams identify security threats before they escalate into major security incidents.
Security professionals use threat intelligence to identify IOCs and mitigate potential threats before they escalate.
| Type | Common Examples | Business Risk |
|---|---|---|
| Malicious IPs | External command servers | Data theft |
| Suspicious domains | Phishing infrastructure | Credential loss |
| Traffic patterns | Abnormal network traffic flows | Service disruption |
Monitoring for malicious IP addresses, unusual domains, and suspicious activity involving domain name servers is essential for detecting threats within an organization’s network. By analyzing IP addresses, web traffic, and identifying network traffic anomalies or unusual network traffic—such as spikes or deviations from normal network traffic patterns—security teams can quickly spot indicators of compromise. These methods help uncover connections to a malicious IP address, detect access to an unusual domain, and reveal abnormal web traffic, all of which are critical for protecting the organization’s network from cyberattacks.
Key Point: IoCs show attacks already occurred. Indicators of Attack (IoAs) predict future threats and help prevent data breach incidents.
Traditional security models create substantial risk exposure:
| Detection Speed | Average Cost of Breach | Downtime | Data Loss |
|---|---|---|---|
| Slow (Days/Weeks) | $3.86M | 21 days | High |
| Fast (Minutes/Hours) | $1.12M | 4 hours | Low |
Faster detection not only reduces costs and downtime, but also improves incident response capabilities by enabling more effective incident response and targeted security measures.
| Problem Area | Annual Cost | Operational Impact |
|---|---|---|
| Alert overload | Analyst time/resource drain | High noise ratio |
| Slow detection | Increased exposure | Continuity risk |
| Manual response | Significant hours per event | Resource drain |
| Blind spots | Unknown exposure | Compliance gaps |
Real-time IoC detection is widely acknowledged to improve detection speed, increase response efficiency, and expand asset coverage, while also supporting compliance through automated audit trails.
Fidelis Elevate® consolidates multiple security functions into one platform. The system combines network traffic monitoring, endpoint protection, deception technology, and data protection capabilities. This unified approach eliminates tool sprawl while improving detection accuracy.
Fidelis Elevate® leverages advanced technological solutions, integrating with endpoint security platforms and threat intelligence platforms to enhance threat detection and response across diverse environments.
Asset Discovery Engine: Continuous network mapping identifies all connected devices across hybrid infrastructure. The system tracks managed and unmanaged assets, providing complete attack surface visibility. Risk profiling helps prioritize protection efforts.
Threat Correlation System: Advanced analytics connect threat indicators across multiple data sources. The platform incorporates intrusion detection systems, network monitoring tools, and log data analysis to identify and correlate threat indicators. The platform maps detected activities to MITRE ATT&CK framework, providing context for security decisions. External intelligence feeds enhance detection capabilities.
Deception Infrastructure: Distributed decoy systems create early warning networks throughout the environment. When attackers interact with fake assets, immediate alerts notify security teams. This approach provides additional detection layers.
Response Orchestration: Machine learning algorithms prioritize genuine threats from background noise. Automated workflows execute containment actions based on threat type and severity. Playbooks ensure consistent response procedures.
Deep Session Inspection examines network traffic comprehensively to detect cyber threat intelligence patterns. Monitoring network traffic can also help identify threats targeting the organization’s server, such as unusual DNS requests or anomalies that may indicate malicious activity.
| Feature | Specification | Advantage |
|---|---|---|
| Protocol support | All network protocols | No blind spots for threat intelligence |
| Encrypted traffic | Real-time analysis | Hidden threat detection in network traffic |
| Container workloads | Dynamic monitoring | Cloud security |
| Processing power | 20 GB throughput | Efficient operation |
Strategic deception provides multiple benefits:
Workflow automation streamlines operations:
Fidelis Elevate® works with existing security investments. Organizations develop integrated security strategies to coordinate detection and response across the security stack.
Current threat feeds require regular updates. Automated subscription management ensures protection against new attack methods. Feed quality directly impacts detection effectiveness.
Complete visibility requires monitoring across all infrastructure components. Network, endpoint, and cloud environments need integrated oversight. Gaps in coverage create attacker opportunities.
Common security threats benefit from automated response. Complex security incidents need human analysis. Successful programs combine both approaches effectively, especially when dealing with multiple failed login attempts and data breach scenarios.
Threat intelligence sharing improves collective defense. Industry groups provide valuable attack information. Collaborative defense reduces individual organization risk.
Real-time IoC detection has become essential for enterprise security. Organizations with comprehensive detection capabilities gain significant advantages:
Industry research and best practices support the value of real-time IoC detection in defending against data breaches, advanced threats, and evolving tactics of cyber criminals.
Fidelis Elevate® delivers enterprise-scale IoC detection through unified platform design. Existing security tool investments integrate seamlessly. The system converts reactive security into proactive threat hunting.
Deception technology and response automation create attacker disadvantages while reducing security team workload. Overall security effectiveness improves substantially.
Convert reactive security operations into proactive threat intelligence programs that maintain business continuity and competitive positioning while protecting sensitive data from suspicious activity.
Additionally, organizations should evaluate the platform’s support for incident response plan development and advanced threat detection to ensure comprehensive preparedness for cybersecurity events.
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