Having survived two tornadoes myself, I can tell you... when everything breaks, communication becomes survival. T-Priority's network slicing and prioritized access can be difference makers in this area.
Read how: https://t.co/1E3qEneX86
@T_Priority Partner
My book "Cyber War: One Scenario " is a fast-paced techno-thriller exploring artificial intelligence, digital disruption, quantum, and the decisions leaders may face in an increasingly connected world.
Available now on nearly every major book platform for readers who enjoy intelligent, realistic thrillers.
In the 82nd Airborne, I saw how fast a disaster zone turns into a blind spot. T-Priority can use 5G with prioritized access to light up those dark zones when it counts.
See how: https://t.co/1E3qEnepiy
@T_Priority Partner
Agentic AI is Exposing the Accountability Gap in Cloud Security Governance https://t.co/5nx3ka5ifd via @ Kayne McGladrey on @Thinkers360#AIGovernance#Cybersecurity#RiskManagement 📣 AI Expert? Get certified at Thinkers360: https://t.co/gs4Byna1zz
Why do 70% of enterprise AI initiatives fail? 📉
At #AppianWorld, I sat down with Gregg Aldana, VP of Global Solutions Consulting at @Appian, to discuss how leading organizations are beating the odds, shifting from vibe coding to strict governance, and moving AI safely into production.
Don't build an AI strategy in isolation—build a business strategy that leverages AI.
Watch the full interview here: 🔗 https://t.co/qYgo1aV8Yp
#SeriousAI #AgenticAI #TechAhead
📌 Q: If the OSI model were built for #AI, what would happen at Layer 6?
A: In an OSI model built for Artificial Intelligence, Layer 6 would serve as the Semantic Presentation and Action Layer.
Instead of just formatting basic text and images, it acts as a universal translator, digesting unstructured human language, converting intent into actionable commands, and normalizing heterogeneous data into unified schemas.
A purpose-built AI Presentation Layer would execute several transformative functions like Semantic Translation, Contextual Compression, Semantic Security and Alignment and Modal Normalization
How do you see it?
#AIOps #CIO
A cloned CFO voice almost moved $2.4M out of a treasury team last year.
AI made that attack cheap. A voice clone now costs about $100 and 30 seconds of audio. The phish that took 45 minutes in 2023 takes 5 today.
Your 2022 security training cannot see it. Four patterns, four real defenses:
https://t.co/HlaUuVYkwq
AI got 280x cheaper in two years.
Enterprise AI bills went up 320%.
That's not a glitch. It's Jevons paradox. Cheaper tokens just mean more tokens, and agents are token gluttons.
Stop tracking cost per token. Start tracking cost per outcome.
98% of companies have Shadow AI.
78% of AI users bring their own tools.
And when it leaks, it adds $670K to a breach.
The scary part: your executives are the heaviest users.
New piece on the hidden maze almost every company is already lost in 👇
https://t.co/ujfe23WDef
Start building with Gemini Embedding 2, our most capable and first fully multimodal embedding model built on the Gemini architecture. Now available in preview via the Gemini API and in Vertex AI.
During the DARPA AI Cyber Challenge, autonomous AI systems uncovered 18 zero-day vulnerabilities and patched 61% of them in 45 minutes. Without any human input.
Zero-days are the most dangerous class of software vulnerability. Attackers prize them because they're unknown to defenders. A human security team might take weeks or months to find one, if they find it at all.
An AI did it 18 times in under an hour. And then patched most of them.
This is a preview of where both offensive and defensive cybersecurity are heading. The same capability that can find vulnerabilities and patch them can find vulnerabilities and exploit them.
The question is who gets there first, and whose AI is faster.
The DARPA AI Cyber Challenge was a proof of concept. The nation-state actors who've been watching that competition already have teams working on the offensive version.
Security teams that don't have AI in their stack aren't just behind. They're playing a fundamentally different game than the one being played against them.
I've seen what happens when city systems and first responders rely on shared commercial networks during high-demand moments. @T_Priority provides public safety teams with prioritized network access designed to help them stay connected when it matters most.
Smarter cities start with connectivity built for critical communication.
Learn more: https://t.co/o2WBO7USbU
T-Priority Partner
Data centers running AI are becoming infrastructure hogs. By 2030, AI-optimized servers alone will consume 64% of ALL incremental power demand for data centers globally
Right now? We're a little over 21%
That is a trajectory that changes everything about how we build cloud