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Jo Peterson ✓

@cleartechtoday · Charleston, SC · joined 08 Sep 2015

Engineer who helps clients scope, source and vet solutions in #CloudAI, #AIOps, #AISecurity|Tech Analyst| Podcast: https://t.co/JbjtWgoWIe

64 037Followers
39 356Following
75 490Posts total
5KViews on collected posts

Ultimi post

📌 Engineering Field Notes On Friday’s I’d like to post about IT architectural patterns and changes we’re seeing in security that we can easily see are being driven by AI and how we construct the stack and other changes that are also driven by AI strategy but may don’t shout it. 393 views · 5 likes · 3 reposts · 2 replies Open on X →
📌 AI agents are moving pretty quickly from experiment to actual enterprise technology. They have credentials. They access company data. They make decisions. They interact with systems. Some can even create or direct other agents. So one thing kept coming back to me during my ht 411 views · 7 likes · 3 reposts · 0 replies Open on X →
📌 Q: What happens during an AI guardrail bypass? A: During an AI guardrails bypass, safety filters and security layers that sit between a user and a large language model (LLM) fail to detect or block malicious or restricted instructions, allowing harmful inputs to reach the http 1.4K views · 32 likes · 14 reposts · 0 replies Open on X →
@cleartechtoday 🤔.. how many times have we heard.. "but it looked like such a logical, feasible, shorter path of execution".. 😮😆🤣 11 views · 2 likes · 0 reposts · 1 replies Open on X →
📌 Q: What is a runaway non human identity? A: A runaway non-human identity (NHI) is an unconstrained or looping automated machine identity—such as an overprivileged service account, CI/CD runner, or autonomous AI agent—that operates at machine speed without effective lifecycle, 1.4K views · 13 likes · 4 reposts · 1 replies Open on X →
📌 Q: What are guardrails in AI? A: Guardrails are programmatic safety boundaries and filters placed on inputs and outputs to prevent toxic, illegal, or non-compliant AI behavior #AISecurity https://t.co/0pyBHK7mMc 1.3K views · 8 likes · 3 reposts · 0 replies Open on X →

Rispetto ad account della stessa dimensione

6 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. raggiunge meno persone dei pari, ma le coinvolge molto di più.

Visualizzazioni mediane871questo account924mediana per 10K–100K
Copertura, %1.36%questo account3.62%mediana per 10K–100K
Interazione, %2.49%questo account1.52%mediana per 10K–100K
MetricaQuesto accountMediana per 10K–100KRapporto
Visualizzazioni mediane per post8719240.94×
Copertura (visualizzazioni ÷ follower)1.36%3.62%0.38×
Tasso di interazione2.49%1.52%1.64×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.3K25 Aug
1.4K26 Aug
11
1.4K28 Aug
4111 Sep
3934 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.83%25 Aug
1.36%26 Aug
27.27%
3.21%28 Aug
2.43%1 Sep
2.54%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes64.4%67 in total
Reposts26.0%27 in total
Replies3.8%4 in total
Quotes1.0%1 in total
Bookmarks4.8%5 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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