Operational efficiency and security resilience are both critical priorities for enterprises. Many think these goals conflict, but they don’t have to. Organizations rely on tools like application performance monitoring (APM), network and infrastructure monitoring, and incident management. They also need strong threat intelligence, including threat intelligence platforms (TIPs), indicators of compromise (IoCs), and threat hunting.  

Typically, these domains operate in silos, which limits their potential. Integrating them bridges the gap between IT operations and cybersecurity, offering unmatched insights and faster responses.  

Monitoring and Alerting: The Cornerstone of Operational Visibility

Monitoring and alerting tools are essential for maintaining the health and performance of IT environments. Each solution mentioned above provides a specific focus:

1. APM: APM tools monitor the health and performance of applications, tracking metrics such as latency, transaction times, and error rates. Watching for threshold triggers ensures that applications deliver an optimal user experience while minimizing downtime. ‍
2. Network monitoring: Network monitoring tools provide visibility into network traffic, bandwidth usage, and device performance. By identifying anomalies in network behavior, these tools help mitigate threats like distributed denial of service (DDoS) attacks or data exfiltration. ‍
3. Infrastructure monitoring: Focused on servers, databases, and virtual machines, infrastructure monitoring ensures that hardware and software resources are performing optimally. Early detection of hardware failures or misconfigurations helps maintain uptime, reliability, and productivity. ‍
4. Incident management: Incident management platforms streamline the response to operational disruptions. Integrated with monitoring systems, they provide automated alerts, escalation workflows, and dashboards to resolve incidents efficiently.

Together, these tools provide a real-time view of an organization’s IT health. However, without integration with threat intelligence — which identifies and responds to potential threats — IT teams struggle to defend against sophisticated attacks effectively.

Threat Intelligence: Going Proactive on Cybersecurity

Tired of playing defense? Threat intelligence goes beyond reactive responses, offering actionable insights into the threat landscape. Key components include:

TIPs: TIPs like Anomali ThreatStream collect, enrich, and distribute enormous volumes of curated, prioritized threat data, enabling organizations to identify, contextualize, prioritize, and respond to cyber threats. These platforms also integrate with other security tools, such as SIEMs and/or SOARs, to streamline workflows and improve decision-making.

IoCs: Malicious IP addresses, domains, and file hashes all provide concrete evidence of potential threats. Security tools ingest these indicators to detect and block malicious activities before they cause harm. As a bonus, they also send alerts to at-risk systems like firewalls (e.g., “block any IoC that looks like this”) and can go even further to ISACs (“Hey, fellow banks, watch out for this!”), protecting the overall domain.  

Threat hunting: Threat hunting is a proactive strategy that involves analysts playing offense instead of defense by manually searching for threats that may have evaded traditional perimeter or network defenses. By leveraging enriched data from TIPs, threat hunters can uncover hidden adversaries or advanced persistent threats (APTs) and mitigate risks.

When threat intelligence integrates with monitoring and alerting solutions, their combined power creates a defense-in-depth approach that enables organizations to anticipate, detect, and neutralize threats efficiently.

Bridging Monitoring and Threat Intelligence: Use Cases

Accelerating Incident Response

Monitoring tools often generate high volumes of alerts, many of which can be false positives or that lack context. By integrating threat intelligence, teams can enrich these alerts with prioritized and actionable insights, such as the reputation of IP addresses or the context of a detected vulnerability. This enables incident responders to focus on critical issues and take immediate action.

For example, if an APM tool identifies abnormal application behavior, integrating IoC and APM data can determine whether the behavior aligns with known attack patterns, such as credential stuffing or SQL injection attempts, and correlate this to internal telemetry.

Enhancing Network Security Posture

Network monitoring provides a wealth of data on traffic flows and patterns. By correlating this data with threat intelligence, organizations can more effectively detect malicious traffic.

As an example, suppose a network monitoring tool flags an unusual spike in outbound traffic. Integrating threat intelligence from a TIP with network data can identify whether the destination IPs are linked to known command-and-control servers, enabling swift mitigation.

Automating Threat Detection and Remediation

The combination of monitoring tools and threat intelligence facilitates automation, reducing the workload on security teams. Products like Anomali Security Analytics, which include SOAR capabilities, can ingest enriched alerts and execute predefined response workflows for incident response.

For example, an infrastructure monitoring tool detecting unauthorized file changes on a server could trigger an automated workflow that isolates the server, performs forensic analysis, and updates TIPs like ThreatStream with new IoCs.

Supporting Threat Hunting Operations

Threat hunters can benefit greatly from monitoring data, especially when combined with enriched threat intelligence. Logs and alerts from APM, network monitoring, and infrastructure tools provide the raw data needed to hypothesize and investigate potential threats. IT monitoring systems provide a wealth of data that can accelerate threat hunting activities with granular and current systems data.  

In this instance, a threat hunter could use APM logs to trace suspicious API call patterns, cross-referencing them with TIP data to determine if they match known attack vectors targeting specific APIs. The threat-intel data is usually enriched and prioritized, which lets threat hunters focus on a more target-rich environment.  

Strengthening Incident Management Workflows

Incident management platforms are critical for coordinating responses across teams. By integrating contextualized and prioritized data from threat intelligence systems, these platforms can provide more relevant insights directly within incident tickets, reducing time spent on manual research.  

When an incident ticket is created for a network anomaly, embedding threat intelligence data like geolocation, threat actor associations, or historical activity of the associated IP can accelerate root-cause analysis.

Operational Benefits of Integration

Integrating monitoring and alerting with threat intelligence offers undeniable operational advantages:

• Improved efficiency: Automating the enrichment of monitoring alerts with threat intelligence reduces manual effort and accelerates decision-making with far better contextual data. Speed matters, and this brings speed to the table.  ‍
• Enhanced accuracy: Enriched alerts minimize false positives, freeing security teams to focus on genuine threats. This is a real game-changer, considering the volume of alerts for even small organizations. Accuracy matters, too, and this integration sharpens that.  ‍
• Proactive defense: By combining historical and real-time data, organizations can predict and prevent attacks rather than reacting after the fact. The best defense is still a good offense.
• ‍Streamlined collaboration: Unified tools and enriched data foster better collaboration between IT and security teams, breaking down silos and creating a more cohesive defense strategy. These two groups are very much on the same side.  

Challenges and Considerations

While the integration of these two functions offers significant advantages, organizations will need to address the following challenges:

• Data overload: Monitoring and threat intelligence tools generate vast amounts of data. Without proper filtering and prioritization on the security side, teams may struggle to identify actionable insights. The good news is that AI excels in this area. ‍
• Tool compatibility: Ensuring that monitoring and threat intelligence tools can seamlessly integrate requires careful evaluation of APIs, data formats, and vendor compatibility. Take the time to get this right the first time.  ‍
• Skill caps: Operationalizing complex and dynamic integrations demands a skilled workforce familiar with domains, automation, and orchestration platforms. This can be a real issue, as deep expertise between IT and security tends to be domain specific. ‍
• Latency in threat intelligence: Threat data must be timely and relevant. Outdated intelligence can lead to missed threats or unnecessary actions. Latency these days is often measured in minutes.

Real-World Example

An Anomali customer recently integrated its network monitoring tool with a TIP solution to address frequent phishing incidents. The network monitoring tool detected abnormal traffic from an endpoint, triggering an alert. The TIP enriched this alert with IoC data, identifying that the destination IP was linked to a phishing campaign.

The enriched alert automatically escalated to the incident management platform, where a SOAR workflow isolated the affected endpoint, blocked the IP in the firewall, and generated a report for further analysis. This integration reduced the incident resolution time by 60%, preventing potential data exfiltration.

Looking Ahead

The convergence of monitoring, alerting and threat intelligence is reshaping how organizations defend their IT environments. By leveraging the strengths of both domains, enterprises can enhance visibility, accelerate response times, and build a proactive defense strategy.  

While there will always be challenges (if the work was easy, somebody else would be doing it, right?), the operational benefits of integration far outweigh the obstacles, making this enhanced operational framework a critical component of modern cybersecurity and IT operations.

As the threat landscape evolves, organizations that harness the synergy between these technologies will be better equipped to navigate complexities, secure their digital assets, optimize business performance, keep their employees productive, keep their customers happy, and keep regulators off their backs — the list just keeps growing.

To see how converged monitoring, alerting, and threat intelligence can uplevel your security posture, schedule a demo of Anomali’s Security and IT Operations Platform.

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