Snyk

@snyksec · 🌍 Global · joined 12 May 2015

Trust AI at full speed with Snyk. System status: https://t.co/tsOiR7QK9Q

21 159Followers

771Following

13 185Posts total

11.4KViews on collected posts

Derniers posts

Snyk@snyksec21 Sep

@snyksec @ezratanzer This is the cleanest way I have seen anyone say it. An instruction changes what the agent tries. It does not decide what it is allowed to do. I keep coming back to the same split. Capability is not authority. One lives in the prompt. The other has to live o 5 views · 0 likes · 0 reposts · 0 replies Open on X →

Snyk@snyksec17 Sep

Snyk is in the right place at the right time as the market shifts rapidly to agentic AI security. Evo by Snyk has sustained 81.5% month-over-month customer growth since its first capability reached general availability in March. The number that says even more is the 76% of https

580 views · 3 likes · 0 reposts · 1 replies Open on X →

Snyk@snyksec17 Sep

@snyksec @ezratanzer “Write secure code” has the same enforcement mechanism as “please don’t break production.” 2 views · 0 likes · 0 reposts · 0 replies Open on X →

Snyk@snyksec16 Sep

Anthropic's own threat intelligence report, published last week, describes an attacker whose malware got caught by security tools — then had it rewritten and redeployed by its own AI agents until it evaded detection again. In hours, not weeks. AI has changed the attack https://t

683 views · 4 likes · 0 reposts · 1 replies Open on X →

Snyk@snyksec15 Sep

@snyksec @ezratanzer That’s the key distinction: instructions shape generation, but enforcement has to happen outside the model. I’d make the four controls independently observable—pre-commit checks, sandboxed execution, dependency policy, and runtime monitoring—so one green ligh 3 views · 0 likes · 0 reposts · 0 replies Open on X →

Snyk@snyksec15 Sep

Ask an agent to "write secure code" and it will try. But an instruction isn't a constraint. It shifts what gets written, it doesn't decide it 🔏 Read @EzraTanzer's piece on why prevention for agent-generated code isn't one control. It's four, and each one only works at a https://

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

Snyk@snyksec10 Sep

Most security programs weren't built for an attacker that moves at machine speed, and next week is when that gap gets put on the table. Next week, @TheRegister's James Hayes talks with Snyk's Manoj Nair and @AnthropicAI's Alon Krifcher about the gap most security programs https

630 views · 5 likes · 0 reposts · 0 replies Open on X →

Snyk@snyksec27 Aug

@snyksec Hi @snyksec — I own https://t.co/aLqWbyQxMs, a clean brandable domain around security and trust. Thought it might be worth putting on your radar. 3 views · 0 likes · 0 reposts · 0 replies Open on X →

Snyk@snyksec26 Mar

@snyksec ca? 19 views · 0 likes · 0 reposts · 0 replies Open on X →

Snyk@snyksec3 Feb

AI is writing code at machine speed. Now, your security can close the gap with the Snyk AI Security Fabric. Learn more about the industry’s first security layer for continuous defense across the entire SLDC here 👉 https://t.co/C5MQ3g8QpA https://t.co/6RKklq6GbQ

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8.7K views · 25 likes · 5 reposts · 3 replies Open on X →

Face aux comptes de taille comparable

8 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. en dessous de ses pairs à la fois en portée et en engagement.

Vues médianes292ce compte924médiane pour 10K–100K

Portée, %1.38%ce compte3.62%médiane pour 10K–100K

Engagement, %0.34%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	292	924	0.32×
Portée (vues ÷ abonnés)	1.38%	3.62%	0.38×
Taux d'engagement	0.34%	1.52%	0.23×

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

8.7K3 Feb

1926 Mar

327 Aug

63010 Sep

74815 Sep

68316 Sep

217 Sep

580

521 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.41%3 Feb

0.00%26 Mar

0.00%27 Aug

0.79%10 Sep

0.80%15 Sep

0.00%

0.73%16 Sep

0.00%17 Sep

0.69%

0.00%21 Sep

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

What the audience does

Likes60.0%39 in total

Reposts7.7%5 in total

Replies13.8%9 in total

Quotes4.6%3 in total

Bookmarks13.8%9 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.