DeFi's growth demands robust security measures to counter potential risks.
Read more 👉 https://lttr.ai/Ap4ib
Tweet Imagine embarking on a financial journey where the conventional intermediaries have vanished, replaced by blockchain protocols and smart contracts. This realm is known as Decentralized Finance, or DeFi, an innovative frontier reshaping the monetary landscape by offering alternative … Continue reading →
🚨 Who actually has power in your organization?
It’s probably not who the org chart says.
Because in reality, power comes from:
→ access to information
→ control over data
→ the ability to move work forward
And that’s all driven by permissions.
So there are always two structures:
• the formal one (roles, titles, hierarchy)
• the real one (access, data flow, decisions)
For industrial, manufacturing, energy, and critical infrastructure operators, the stakes are high: disruption in OT is real-world damage, not just data loss.
Read more 👉 https://lttr.ai/Ap2bo
Combining “fast bets” (high EV density) with “venture options” (lower density but optional upside).
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We can build systems—risk ladders, simulations, portfolios—that force us to confront our own biases and recalibrate.
Read more 👉 https://lttr.ai/Ap0FI
These systems analyze probability, impact, and occasionally novelty to produce actionable insights rather than just dashboards.
Read the full article: The Pyramid I Operate From
▸ https://lttr.ai/ApyWC
When the items on the grid are complete, my brain gets a clear signal that it's time to stop working and return to full optionality—the freedom to explore, learn, or simply disengage.
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At that point, the goal became clear: build a practical defensive layer that could sit between untrusted content and an LLM — and make sure the application didn’t fall apart when something suspicious showed up.
Read more 👉 https://lttr.ai/ApwR1
Tweet The Impetus: Wanting Something We Could Actually Run Like many security folks watching the rise of LLM-driven workflows, I kept hearing the same conversations about prompt injection. They were thoughtful discussions. Smart people. Solid theory. But the theory wasn’t … Continue reading →
Engineering KPI: Time-to-fix for top noisy detectors (target ≤ 5 business days).
Read more 👉 https://lttr.ai/ApwKQ
Tweet Security teams don’t burn out because of “too many threats.” They burn out because of too much junk between them and the real threats: noisy detections, vague alerts, fragile rules, and AI that promises magic but ships mayhem. Here’s … Continue reading →
Over the years I've built systems—initially using traditional analytics and now increasingly using AI—that monitor and evaluate risk across multiple areas
Read more 👉 https://lttr.ai/ApwGf
