Sysdig ✓

@sysdig · San Francisco, CA · joined 10 Jan 2014

The leader in real-time cloud security

10 345Followers

1 303Following

7 755Posts total

1.8KViews on collected posts

Últimas publicaciones

Sysdig ✓@sysdig11 Sep

Machine speed, hold the AI. 🚨 Eight seconds from open WebSocket to SSH session. No AI. No public tooling. Just hand-rolled Python. Skilled humans and AI agents hitting the same exploit timelines. Detect the chain shape, not the typing pattern. https://t.co/HRQzQ6jqug https://t

389 views · 4 likes · 2 reposts · 0 replies Open on X →

Sysdig ✓@sysdig8 Sep

Innovation isn't just what we build. It's how we work. Proud to be named one of @FastCompany's 2026 Best Workplaces for Innovators (Cybersecurity & Enterprise Software) 🎉 The best defense against machine-speed attacks? A team that moves just as fast. Congrats to ours! We're h

420 views · 2 likes · 1 reposts · 0 replies Open on X →

Sysdig ✓@sysdig4 Sep

4.8/5 stars. 111 verified reviews. Here's what a Senior Security Engineer saw firsthand: "Sysdig detected and alerted us within a few moments. The competitor took hours. That was when we knew." Real detections. Real time. Real customers. https://t.co/2aNMHpzSJh #CloudSecurity

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358 views · 3 likes · 2 reposts · 0 replies Open on X →

Sysdig ✓@sysdig3 Sep

Cloud attacks go from initial access to business impact in 10 minutes or less. For large enterprises, a single hour of downtime costs over $100,000. For finance and healthcare, $5 million per hour. The 10-minute window isn't a security problem. It's a business problem. https://

268 views · 1 likes · 1 reposts · 0 replies Open on X →

Sysdig ✓@sysdig2 Sep

AI didn't invent new attacks. It just sped up old ones. August's security briefing from Sysdig covers Ghostjacking, Claude Code used in ransomware intrusions, ChainDrop poisoning 400+ packages in under four hours, and more. The assumption that a human is the final check before

339 views · 3 likes · 2 reposts · 0 replies Open on X →

Frente a cuentas del mismo tamaño

5 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. justo en la mediana de su rango de seguidores.

Visualizaciones medianas358esta cuenta924mediana de 10K–100K

Alcance, %3.46%esta cuenta3.62%mediana de 10K–100K

Interacción, %1.40%esta cuenta1.52%mediana de 10K–100K

Métrica	Esta cuenta	Mediana de 10K–100K	Proporción
Visualizaciones medianas por publicación	358	924	0.39×
Alcance (visualizaciones ÷ seguidores)	3.46%	3.62%	0.96×
Tasa de interacción	1.40%	1.52%	0.92×

Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →

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

3392 Sep

2683 Sep

3584 Sep

4208 Sep

38911 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.47%2 Sep

0.75%3 Sep

1.40%4 Sep

0.71%8 Sep

1.54%11 Sep

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

What the audience does

Likes59.1%13 in total

Reposts36.4%8 in total

Bookmarks4.5%1 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.