Cyber Resilience

Embeddable widgets

Drop a live security-resilience.ai widget into a Barracuda blog post. Each refreshes from our daily data on its own — embed once, stays current. Clicks open the full page in a new tab. Last updated: 23 August 2026 00:24 UTC

→ Copy the embed code and paste it into the post’s HTML block. The widget is self-contained (no login, no tracking) and links readers back to the research behind it.

AI Hype Index

The live AI Hype Index — score, 10-day trend, and the record-year takeaway.

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Top CVEs to act on

This week’s highest-risk CVEs (KEV + EPSS movers + fresh criticals), each linking to its full detail page.

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Observed threat map

The live daily threat map — countries shaded by the attack volume we can actually observe (leak-site claims, filings, reporting), refreshed every day. Nav-free; clicks open the full interactive map.

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Interactive model: how LLMs change the CVE landscape

The interactive Mythos model of how large language models shift the vulnerability landscape. Explore the four scenarios and the drivers behind each.

Preview shown at 40% — the embed code below is full size.

<iframe src="https://security-resilience.ai/mythos_viz.html" width="1040" height="1220" style="border:0;max-width:100%" loading="lazy" title="Interactive model: how LLMs change the CVE landscape - security-resilience.ai"></iframe>

Monthly CVE publication volume

New CVEs published per month, with the AI-related share on its own right-hand axis. Refreshes daily.

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<iframe src="https://security-resilience.ai/staging/trends_volume.html" width="740" height="500" style="border:0;max-width:100%" loading="lazy" title="Monthly CVE publication volume - security-resilience.ai"></iframe>

Weakness shift: top CWEs by year

How the most common weakness types rank against each other across 2024, 2025 and 2026 so far.

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<iframe src="https://security-resilience.ai/staging/trends_cwe_shift.html" width="740" height="520" style="border:0;max-width:100%" loading="lazy" title="Weakness shift: top CWEs by year - security-resilience.ai"></iframe>

Attacker technique shift

Which MITRE ATT&CK techniques the exploited-CVE population leans on, and how that mix moves over time.

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<iframe src="https://security-resilience.ai/staging/trends_technique_shift.html" width="740" height="560" style="border:0;max-width:100%" loading="lazy" title="Attacker technique shift - security-resilience.ai"></iframe>

Exploitation pressure by tactic

Summed EPSS exploit-probability by ATT&CK tactic each month. Shows where exploitation pressure concentrates.

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<iframe src="https://security-resilience.ai/staging/trends_tactic_pressure.html" width="740" height="580" style="border:0;max-width:100%" loading="lazy" title="Exploitation pressure by tactic - security-resilience.ai"></iframe>

Control family share of mitigations

Which NIST 800-53 control families carry the mitigation load, week by week.

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<iframe src="https://security-resilience.ai/staging/trends_control_coverage.html" width="740" height="580" style="border:0;max-width:100%" loading="lazy" title="Control family share of mitigations - security-resilience.ai"></iframe>

More charts, PNG only

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CVE exploit-pressure (EPSS, 30 days)

CVE exploit-pressure (EPSS, 30 days) preview

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Exploitation velocity &mdash; CISA KEV additions per month

Exploitation velocity &mdash; CISA KEV additions per month preview

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Time from CVE publication to KEV listing

Time from CVE publication to KEV listing preview

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Ransomware-attributed share of KEV, by quarter

Ransomware-attributed share of KEV, by quarter preview

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CVE exploit pressure &mdash; EPSS over time

CVE exploit pressure &mdash; EPSS over time preview

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The KEV gap &mdash; exploited before it&rsquo;s patched

The KEV gap &mdash; exploited before it&rsquo;s patched preview

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DBIR breach patterns vs our KEV-gap timing

DBIR breach patterns vs our KEV-gap timing preview

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