AI floods security teams with findings. The advantage is in what happens next
AI tools are significantly accelerating the discovery of software vulnerabilities, leading to a surge in findings that overwhelms security teams. This imbalance has caused the backlog of unresolved critical vulnerabilities to grow nearly 29-fold, even as the time to fix individual issues has decreased. Experts argue that the true security advantage lies in Continuous Threat Exposure Management, which focuses on validating and remediating the most exploitable risks rather than just generating more data.
- ▪Security teams on the platform reduced the time to fix critical vulnerabilities by 50% while their backlog of unresolved critical issues grew by 29-fold.
- ▪AI models can scan thousands of assets for vulnerability patterns at a scale that exceeds manual testing capabilities.
- ▪Most organizations currently lack the capacity to validate, prioritize, and remediate findings at the same rate AI produces them.
- ▪Continuous Threat Exposure Management (CTEM) is presented as a solution to bridge the gap between high-volume discovery and effective remediation.
- ▪Investing solely in AI discovery tools increases operational busyness without necessarily improving overall organizational security.
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| Original publisher | TechRadar |
| Canonical URL | https://www.techradar.com/pro/ai-floods-security-teams-with-findings-the-advantage-is-in-what-happens-next |
| Publication time | Wed, 23 Sep 2026 09:28:21 +0000 |
| Retrieval time | 2026-09-23T09:34:30.564Z |
| Last seen | 2026-09-23T09:34:30.564Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | CPM5SE6MqMM_ · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Pro AI floods security teams with findings. The advantage is in what happens next Opinion By Kara Sprague Published 23 September 2026 How AI is reshaping vulnerability discovery and remediation When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Blue Planet Studio/Shutterstock) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Over the past year, security teams on our platform cut the time it takes to fix a critical vulnerability by roughly 50%. In the same period, their backlog of unresolved critical vulnerabilities grew nearly 29-fold.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechRadar.
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