What 28 Days of Faster Vulnerability Intelligence Is Worth | Blog

• VulnCheck identifies exploited vulnerabilities 28.13 days faster than CISA KEV on average
• Of 376 CVEs in both catalogs during 2024-2025, VulnCheck had meaningful lead time in 67.6% of cases, with an average lead of 41.64 days when ahead
• Using IBM’s 2025 Cost of a Data Breach data, that speed advantage translates to $518,000 in risk avoided per incident when organizations can act on it
• A major financial institution validated this independently. Their internal analysis found VulnCheck was 6.3 days faster than their existing tools, worth $145,000 per incident in their environment

When we talk about vulnerability intelligence, speed matters. But how much is faster awareness actually worth, and what does it take to turn that awareness into action?

We set out to answer those questions by combining two datasets: our own analysis of VulnCheck KEV versus CISA KEV timing, and IBM’s 2025 Cost of a Data Breach Report. The result is a framework for quantifying the economic value of faster vulnerability intelligence.

We analyzed every CVE that appeared in both the VulnCheck KEV and CISA KEV catalogs where VulnCheck’s addition date fell within 2024 or 2025. The methodology was straightforward:

Metric: difference_days = cisa_date_added - vulncheck_date_added

A positive number means VulnCheck had the CVE first.

In two-thirds of cases, VulnCheck had the CVE cataloged as known exploited before CISA added it, often by weeks or months.

The mean of 28.13 days across all CVEs is the headline number. But when VulnCheck was first, the average lead time was actually 41.64 days: over a month of earlier awareness.

The bulk (54.8%) are within a week. But the long tail is significant: nearly 27% of VulnCheck-first entries had a lead of over 30 days. These are the cases where organizations relying solely on CISA KEV were flying blind for a month or more.

The CrushFTP and Citrix examples are particularly notable. These are well-known, actively exploited vulnerabilities where VulnCheck had them cataloged 9-11 months before CISA.

VulnCheck’s earlier detection comes from several factors:

1. Broader source coverage: VulnCheck monitors over 500 sources for exploitation evidence, including exploit repositories, threat actor infrastructure, and global security research
2. Automated detection: Continuous monitoring versus manual curation processes
3. Lower publication threshold: VulnCheck adds vulnerabilities based on any confirmed exploitation evidence, while CISA applies additional criteria
4. Real-time updates: Multiple daily updates versus periodic batch additions

CISA KEV serves an important purpose. It’s an authoritative, government-backed catalog with mandated remediation timelines for federal agencies. But it was designed for compliance, not speed.

Knowing VulnCheck is faster is useful. Knowing what that speed is worth is actionable.

IBM’s Cost of a Data Breach Report 2025 provides the data we need to build a financial model.

Source: IBM Cost of a Data Breach Report 2025, Figure 12, p. 19

Source: IBM Cost of a Data Breach Report 2025, Figure 10, p. 18

That 252-day figure for zero-day vulnerabilities is critical. This is precisely where earlier intelligence provides maximum value.

Source: IBM Cost of a Data Breach Report 2025, Figure 3, p. 11

The $518K isn’t saved by knowing 28 days earlier. It’s saved by acting 28 days earlier.

VulnCheck KEV is free because awareness is table stakes. It answers the question: “Is this vulnerability being exploited in the wild?” That’s essential, but it’s just the starting line.

The harder questions are:

• How is it being exploited? Is there weaponized code? A Metasploit module? Ransomware integration?
• Who is exploiting it? Nation-state? Financially motivated? Opportunistic scanning?
• Can I detect it? Do I have signatures ready to deploy, or am I writing them from scratch?
• Am I exposed? Is this vulnerability even in my environment?

Answering those questions manually across 550+ sources is where security teams burn 60-100 hours per week. That’s 2-4 FTEs worth of effort just to stay current.

VulnCheck’s platform provides:

• Exploit intelligence: PoC code, weaponization status, exploit maturity, and timelines
• Detection artifacts: Production-ready Suricata, Snort, YARA, and Sigma rules, along with full packet captures (PCAPs) of real exploit traffic, vulnerable Docker containers for testing detection stacks, and in-house exploits developed by VulnCheck’s research team via the Go-Exploit framework
• Canary intelligence: A global network of intentionally vulnerable instances that capture real attacker payloads in the wild — providing first-party IOCs, encoded commands, file hashes, and delivery mechanisms that feed directly back into detection engineering and threat intelligence enrichment
• Threat actor attribution: Which groups are actively using the exploit, with ties to ransomware families and botnet campaigns
• Attack surface queries: Check exposure across Shodan, Censys, FOFA, ZoomEye, and GreyNoise

KEV tells you what to prioritize. The platform tells you how to act on it. That’s where the 28-day advantage translates into actual risk reduction.

We recently worked with a major financial institution in the APAC region that wanted to validate our claims with their own data.

Their security team ran an independent analysis comparing VulnCheck KEV against their current internal vulnerability intelligence sources across 10 recently exploited CVEs. Their finding: VulnCheck was 6.3 days faster on average.

Using the financial services daily exposure cost of $23,070, that translates to $145,341 in risk avoided per incident, and over $700,000 annually at typical incident frequencies.

The 6.3-day figure is lower than our 28.13-day CISA KEV comparison because this institution already has mature vulnerability intelligence capabilities. VulnCheck still provided meaningful acceleration even against a sophisticated baseline. Organizations using CISA KEV as their primary source would see significantly larger gains.

Three trends from the 2025 IBM report make faster vulnerability intelligence increasingly critical:

16% of breaches in 2025 involved attackers using AI, with 37% of those involving AI-generated phishing and 35% involving deepfake attacks. As adversaries leverage AI to identify and exploit vulnerabilities faster, defenders need automation to maintain parity.

Source: IBM Cost of a Data Breach Report 2025, pp. 46-47

48% of organizations reported high levels of security skills shortage. Organizations with high shortages paid $5.22 million per breach versus $3.65 million for those with adequate staffing, a $1.57 million differential.

Source: IBM Cost of a Data Breach Report 2025, Figure 42, p. 45

You can’t hire your way out of this problem. Automation and better intelligence are the only paths that scale.

3. AI and automation deliver proven ROI

Organizations using AI and automation extensively had an average breach cost of $3.62 million versus $5.52 million for those without, a $1.9 million savings.

Source: IBM Cost of a Data Breach Report 2025, Figure 44, p. 47

We make a strong effort to be transparent about our research. Here’s how this analysis was conducted:

Data source: VulnCheck KEV export, which contains both the VulnCheck date_added and the cisa_date_added fields for each entry

Filter criteria: Only entries where VulnCheck’s date_added is in 2024 or 2025, AND a cisa_date_added value exists

Metric: difference_days = cisa_date_added - vulncheck_date_added (positive = VulnCheck was first)

Important note on scope: This analysis only includes CVEs that appear in both catalogs. VulnCheck KEV contains many additional vulnerabilities with confirmed exploitation evidence that have not yet been added to CISA KEV. Those are excluded from this comparison but represent additional coverage VulnCheck provides.

IBM data: All breach cost figures are from IBM Security & Ponemon Institute’s Cost of a Data Breach Report 2025, with specific page and figure citations provided.

You can validate our KEV comparison yourself using VulnCheck KEV, which is available as a free community resource.

A few caveats to keep in mind:

1. Lead time does not equal exploit time. VulnCheck’s earlier addition date reflects when exploitation evidence became available, not necessarily when exploitation began. However, earlier awareness still accelerates defender response.
2. Daily exposure is a model. The $18,423/day figure is derived from averages. Actual costs vary by organization size, industry, geography, and incident specifics.
3. Not all incidents are equal. Some exploitation events result in full breaches; others are detected and contained quickly. The financial model assumes the vulnerability was a contributing factor to a breach-level incident.
4. The comparison is against CISA KEV specifically. Organizations using other commercial threat intelligence sources may see different results. The financial institution example (6.3 days) demonstrates this variance.

VulnCheck identifies exploited vulnerabilities 28.13 days faster than CISA KEV on average. In two-thirds of cases, VulnCheck had meaningful lead time, often weeks or months ahead.

That speed advantage, when paired with the intelligence to act on it, translates to real money:

Knowing earlier only matters if you can act earlier. When you’re in a race against attackers, that’s the difference between containing a threat and becoming a headline.

VulnCheck KEV is available as a free community resource for tracking exploited vulnerabilities. If you’re looking to move beyond awareness into action, with exploit intelligence, detection artifacts, and attack surface visibility, explore the full VulnCheck platform.

The full Economic Impact Report, including detailed methodology and industry-specific calculations, is available upon request.

1. IBM Security & Ponemon Institute. (2025). Cost of a Data Breach Report 2025. pp. 10-11, 17-19, 45-47.
2. VulnCheck. (2025). VulnCheck KEV vs. CISA KEV Analysis, 2024-2025. Internal analysis.
3. VulnCheck. (2025). 2024 Trends in Vulnerability Exploitation. https://vulncheck.com/blog/2024-exploitation-trends