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Cyber Security
Independent · Digital
Thehackingpost
CybersecurityAI-assisted

Most SOCs Are Seeing Attacks Too Late. Here’s How to Fix It

As cyber risks increasingly lead to financial losses, the speed of detection is crucial. However, many Security Operations Centers (SOCs) are identifying attacks post-damage. The average data breach costs organizations $4.4 million, with expenses rising…

As cyber risks increasingly lead to financial losses, the speed of detection is crucial. However, many Security Operations Centers (SOCs) are identifying attacks post-damage. The average data breach costs organizations $4.4 million, with expenses rising as attackers linger undetected within networks. Delayed detection, often spanning days or weeks, transforms avoidable incidents into costly crises.

The main issue stems from outdated or incomplete threat intelligence . Public reports are frequently delayed, arriving after attackers have shifted strategies. Many commercial feeds lack meaningful context, necessitating time-consuming manual verification by analysts. This results in alert overload, with SOCs receiving up to 11,000 alerts daily, only 19% of which are actionable. The consequences include increased false positives, analyst burnout, and missed threats.

Without updated, contextual threat data, SOCs expend valuable resources on irrelevant alerts, allowing real threats to remain unnoticed. This leads to reduced detection rates, prolonged mean time to detect (MTTD) and remediate (MTTR), and unnecessary financial losses.

Low Detection Rates and Blind Spots : Evasion techniques enable malware and phishing campaigns to bypass traditional defenses, leaving SOCs reactive rather than proactive. Alert Fatigue : High volumes of unprioritized alerts result in backlogs and escalations, with false positives hindering analyst productivity. Slow Response Times : Lack of immediate context around indicators causes hours to be spent on research, allowing attackers to move laterally. Resource Drain : Overworked teams, rising burnout, and inefficient workflows increase operational costs while breach risks compound.

Organizations relying on outdated intelligence experience higher exposure, more successful attacks, and reduced returns on security investments.

Importance of Fresh Threat Intelligence

Adopting real-time threat intelligence feeds that provide verified, contextual indicators as soon as emerging threats are identified is crucial. ANY.RUN’s Threat Intelligence Feeds integrate current, verified indicators into security frameworks such as SIEMs, XDR, EDR, and SOAR. This enables:

1. Early Detection of Emerging Attacks

Fresh threat intel feeds deliver immediate Indicators of Compromise (IOCs) — including malicious IPs, domains, and URLs — from active attacks and sandbox investigations. This allows SOCs to identify threats before escalation. ANY.RUN’s feeds draw data from live sandbox sessions and community contributions, adding over 16,000 new threats daily to their database. This approach narrows the window between threat emergence and detection.

As cyber risks increasingly lead to financial losses, the speed of detection is crucial.
Danielle Frost · Thehackingpost

2. Reduction in False Positives and Noise

High-quality feeds filter out false positives before reaching analysts. By enriching IOCs with sandbox-verified contextual data, feeds enable SOC teams to focus on real risks, thus reducing wasted labor costs associated with alert triage and false positives.

With access to advanced intelligence, SOC analysts can instantly validate an IOC and understand its context, significantly shortening MTTD and MTTR, thereby reducing exposure and operational impact.

Integrating real-time feeds into detection systems allows SOCs to transition from reactive defense to proactive threat hunting. Analysts can use emerging indicators to search historical logs for early signs of intrusion, uncovering attempted attacks that might have bypassed initial controls.

Enhancing Security Operations with ANY.RUN

ANY.RUN’s Threat Intelligence Feeds offer a shift from static to dynamic cybersecurity insights:

High-Fidelity, Filtered IOCs: Processed for low false positives and high relevance. Real-Time Updates: Fresh indicators from diverse threat analyses daily. Contextual Metadata & Sandbox Links: Each IOC is linked to detailed sandbox investigation data, aiding analysts in understanding attack tactics and techniques. Easy Integration: Compatible with SIEM, SOAR, TIP, and other enterprise systems via STIX, TAXII, MISP, API, or SDK.

The result is more confident, faster, and more accurate threat detection, directly linking security operations to business outcomes.

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Organizations using ANY.RUN's Feeds report significant improvements:

Up to 58% increase in threats detected. 94% faster alert triage. 21 minutes saved per incident on MTTR. 3x overall improvement in SOC performance. Significant reductions in false positives and Tier 1 workload (up to 20%).

By integrating these feeds, SOCs are empowered to block threats instantly, prioritize real incidents, and allocate resources efficiently, reducing breach risk and achieving substantial cost savings.

The transition from traditional, reactive security operations to proactive threat detection requires better data integration rather than wholesale infrastructure replacement. ANY.RUN Threat Intelligence Feeds provide this enhanced data, allowing security infrastructure to detect emerging threats early, minimizing potential damage.

For decision-makers evaluating security investments, threat intelligence feeds offer one of the highest ROI opportunities available. The cost of a quality feed is a small fraction of the potential costs incurred from an extended breach, with operational benefits such as reduced false positives and faster detection compounding over time.

Based on reporting by Cyber Security News.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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