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Embed Security’s ads on LinkedIn, Meta and Google, recorded by adsrunning. Browse the latest here for free. Sign up free to see all 63. Watch Embed Security with Starter to get each new one in your feed.
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| Network | Status | Live ads | Nov 2025LinkedIn activity · 52 weeksOct 2026 | Checked | Next step |
|---|---|---|---|---|---|
| Running | 63 | Checked 30 Oct 2026 | See all 63 ads → | ||
| Meta | Not checked | — | |||
| None recorded | 0 | No ads found on the Google Ads Transparency Center | Checked 28 Oct 2026 | Collect them with the API → |
Embed Security has 63 live LinkedIn ads. We recorded no Google ads on 28 Oct 2026.
Latest ads
- LINKEDIN · VIDEORecorded 21 Oct 2026
AI SOC trust takes more than evidence. It also requires consistency: can the same input produce a reliable outcome, and can the system learn from feedback? Hear why reliability is fundamental to trust.
- LINKEDIN · VIDEORecorded 21 Oct 2026
AI is helping security analysts focus on what they do best: applying human judgment to complex problems. Hear how AI can shift analysts from gathering information to verifying findings, making decisions, and focusing on higher-value security work.
- LINKEDIN · IMAGERecorded 8 Oct 2026
Building an AI SOC prototype has never been easier. Building one your analysts will trust at 2 a.m. on a Tuesday is a very different proposition. The build-vs.-buy conversation often focuses on what a system can do in a demo. But the harder questions come later: How do you prove it’s improving? Keep it consistent? Preserve institutional knowledge? Maintain integrations? Adapt as models change? In our CEO Seth Summersett's new Security Boulevard article, he looks at what happens after the prototype works. He also explores the long-term commitment security teams should understand before deciding to build or buy. The prototype is only the beginning. The demo is cheap, but the trust is expensive. Read the article here: https://lnkd.in/gGbWcpcM #Cybersecurity #AISecurity #SecOps
- LINKEDIN · VIDEORecorded 8 Oct 2026
Building an AI SOC means more than choosing a model. Reasoning, evidence gathering, evaluation, and continuous improvement all have to work together over time. Hear what security teams should consider when weighing build vs. buy.
- LINKEDIN · VIDEORecorded 8 Oct 2026
Building a trusted AI SOC means accounting for evaluation, feedback loops, integrations, and model updates. See what security teams need to consider beyond the demo.
- LINKEDIN · IMAGERecorded 17 Sept 2026
There’s no shared benchmark for alert investigation, and getting the right verdict is only part of the equation. A system can reach the right answer for entirely the wrong reasons. So we built our own evaluation system. Jeffrey Johns breaks down how we grade AI SOC analysts on three things: accuracy, consistency, and whether a senior analyst would endorse the reasoning. If you’re evaluating AI for your SOC, are you asking vendors how they measure all three? Read the blog: https://lnkd.in/gqYjZSHW #Cybersecurity #AI #SecOps
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