Blitzy: AI-powered security remediation for codebases · Aug 9–13, 2026

New
Blitzy

Blitzy provides AI-powered security remediation by deeply understanding a codebase to identify and fix vulnerabilities across an entire application without introducing new issues.

$800 – $2.2k
Est. Campaign Spend
Aug 9, 2026
First seen
Aug 13, 2026
Last seen
4
Reads
1
Shows
1
Active months
Campaign Budget & Cost Analysis
Estimated Campaign Budget: $800 – $2.2k across 4 detected ad reads
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13-week activity

Public campaign reads by observed week

through Aug 17
2
2

Renewal signals

30 dayPending
60 dayPending
90 dayPending
Promo-code persistence

No recurring promo code was observed.

Core offer

AI-powered security remediation for codebases

Representative reads

Examples across the campaign

Example transcript

The read that best represents this campaign's recurring script

View promo
The AI Breakdown: Daily Artificial Intelligence News and Discussions·Why AI Washing Won’t Work Much Longer
Est. value ~$450range $72$3K
Blitzy deeply understands your codebase before it writes code. Here's the first place that pays off. Security in the age of AI. Vulnerabilities don't live in isolation. They live buried inside millions of lines of interconnected code, where patching one thing quietly breaks three others. That's why surface-level scans fail. Blitzy starts from its knowledge graph of your entire application, identifies and surfaces CVEs across the full estate, proactively recommends patches, and can execute the PR. Each fix is grounded in how your systems connect and validate so nothing new breaks. And the knowledge graph dynamically updates, keeping you ahead of an ever-accelerating threat landscape. One Blitzy customer resolved 21 active CVEs across six core microservices in four days. Zero compile errors, every validation scan clean, months of planned work fixed in less than a week. Security remediation grounded in real architectural context at the speed of compute. Harden your codebase at Blitzy.com. That's B-L-I-T-Z-Y dot com.

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These signals describe observed podcast advertising activity. Per-read dollar figures are directional current placement proxies—not historical campaign spend, reach, conversions, or return on investment.