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

Derniers posts

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

0:11

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 →

Face aux comptes de taille comparable

5 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. juste au niveau de la médiane de sa tranche d'abonnés.

Vues médianes358ce compte924médiane pour 10K–100K

Portée, %3.46%ce compte3.62%médiane pour 10K–100K

Engagement, %1.40%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	358	924	0.39×
Portée (vues ÷ abonnés)	3.46%	3.62%	0.96×
Taux d'engagement	1.40%	1.52%	0.92×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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.