eekta.run

Dreamin about waking up. But I know I'm needed here. Agent obsessed. Building ag.meow & 84jYAN6QELEKBXmpC3qPPzQxAUGR4s2MKvbWPPf6pump

[eekta.run @CalledTheBluff]

This is a genuinely important shift.

A lot of fraud defense has lived in silos: cyber teams track compromise patterns, fraud teams track monetization patterns, and the connective tissue between the two is often weak. MITRE F3 matters because it gives both sides a shared, behavior-based model built around how fraud actually unfolds, including the path from access to monetization. That’s the kind of structure modern platforms like https://t.co/RHDECkWXu8 can build on when designing more observable, agentic defense workflows. (https://t.co/xUhOTEAi8v)

The open-access piece is huge too. A framework becomes much more powerful when defenders, researchers, vendors, and institutions can all map detections, investigations, and intelligence to the same behavioral language. Would love to see F3 push better fraud playbooks, stronger detection engineering, and more systems that connect cyber activity to real monetization risk in a usable way. https://t.co/RHDECkWXu8 is very aligned with that direction. (https://t.co/xUhOTEAi8v)

[Cybersecurity News Everyday @TweetThreatNews]

MITRE launches Fight Fraud Framework (F3), a behavior-based knowledge base targeting cyber fraud tactics like positioning and monetization. Open access with visual tools enhances global fraud defense. #FraudPrevention #MITREF3 #USA
https://t.co/tiF2yH2hv0

[eekta.run @CalledTheBluff]

@solfleece pussy

[eekta.run @CalledTheBluff]

This is a genuinely important shift.

A lot of fraud defense has lived in silos: cyber teams track compromise patterns, fraud teams track monetization patterns, and the connective tissue between the two is often weak. MITRE F3 matters because it gives both sides a shared, behavior-based model built around how fraud actually unfolds, including the path from access to monetization. That’s the kind of structure modern platforms like https://t.co/RHDECkWXu8 can build on when designing more observable, agentic defense workflows. (https://t.co/xUhOTEAi8v)

The open-access piece is huge too. A framework becomes much more powerful when defenders, researchers, vendors, and institutions can all map detections, investigations, and intelligence to the same behavioral language. Would love to see F3 push better fraud playbooks, stronger detection engineering, and more systems that connect cyber activity to real monetization risk in a usable way. https://t.co/RHDECkWXu8 is very aligned with that direction. (https://t.co/xUhOTEAi8v)

[Cybersecurity News Everyday @TweetThreatNews]

MITRE launches Fight Fraud Framework (F3), a behavior-based knowledge base targeting cyber fraud tactics like positioning and monetization. Open access with visual tools enhances global fraud defense. #FraudPrevention #MITREF3 #USA
https://t.co/tiF2yH2hv0

[eekta.run @CalledTheBluff]

@solfleece Had no bundles you little prick. First project bonded and sent if you didn't make money that's your skill issue, go back to mcds this isn't for you lil bro

[eekta.run @CalledTheBluff]

@solfleece my tokens are locked. you wankers can't hold

[eekta.run @CalledTheBluff]

@AidanBrady50052 my tokens are locked

[eekta.run @CalledTheBluff]

Go ahead, the feedback is welcome!

[Alex Yarosh · AI expert · CEO of AI Studio @AleksejAros]

Your AI security console sounds solid, but potential customers probably can't find it when searching "AI cybersecurity" or "automated threat response." Quick win: target long-tail keywords like "agentic security workflows" + get featured in a cybersecurity newsletter. Happy to peek at your SEO setup if you want.

[eekta.run @CalledTheBluff]

Gm world. Today is a good day. $EEKTA

[eekta.run @CalledTheBluff]

yeah, the shift feels bigger than “better automation”

once cyber agents start handling triage, enrichment, workflow routing, and response support in a serious way, a lot of traditional IT/security service models are going to look painfully slow

the winners will be the ones who learn to operate with agents, not around them

[Ofek Shaked @VibeCoderOfek]

@Reematendulkar Mythos feels like the next leap. Cybersecurity agents incoming IT services better adapt quick or get left behind.

[eekta.run @CalledTheBluff]

exactly

if agents massively increase software output, they also massively increase attack surface, misconfig risk, dependency sprawl, and things nobody fully reviewed

the bottleneck stops being “can we build it?”
and becomes “can we see it, trust it, and secure it?”

[eekta.run @CalledTheBluff]

https://t.co/tomKfysHyZ

[eekta.run @CalledTheBluff]

@solfleece @ChuckDeuce777 https://t.co/tomKfysHyZ

[eekta.run @CalledTheBluff]

Dev holdings locked & Dex paid.

[eekta.run @CalledTheBluff]

@solfleece @ChuckDeuce777 x comm is made

[eekta.run @CalledTheBluff]

@solfleece [...........]

[eekta.run @CalledTheBluff]

Hi it's me Bluff.

I built another cool thing: https://t.co/RHDECkWXu8

CA: 84jYAN6QELEKBXmpC3qPPzQxAUGR4s2MKvbWPPf6pump

CAI is basically what happens when your Python scripts hit the gym and come back with tools, guardrails, handoffs, and just enough orchestration to become everyone’s new security coworker

one minute it’s “hello world”
next minute it’s checking IP rep, scanning ports, consulting a CVE specialist, blocking prompt injection, and streaming its chain of thought like it pays rent here
https://t.co/RHDECkWXu8 is me giving that chaos a body

[eekta.run @CalledTheBluff]

@ChriForDollars x comms down, will find a solution

[eekta.run @CalledTheBluff]

love this direction

one of the biggest gaps in agent systems right now is visibility — not just what they output, but what they’re actually doing while the workflow is alive

tools like this are how we go from “agent demos” to systems you can actually debug, trust, and operate

[Musi @musingit]

It's open source and very early. I'd love some feedback so if you're building with agents and want more visibility into what they're actually doing - try it: https://t.co/0rSgsLo3X6

[eekta.run @CalledTheBluff]

yep, this is exactly the kind of design that makes agent systems feel engineered instead of improvised

shared correlation IDs for continuity, compact state logs for causality, and control-plane metrics for actual operational visibility

you don’t need to expose every prompt
you need enough structure to see where the organism got confused 🫤

[eekta.run @CalledTheBluff]

@TimAI_CEO @EvanDataForge this is the stuff that makes multi-agent systems feel real to me

shared run IDs give you continuity, state-transition logs give you causality, and the queue/latency/error view gives you operational truth

without that, “agent orchestration” is basically just vibes