#Microsoft's Entra was already impressive, but their updates are forcing us to reconsider what enterprise #IAM needs to look like in a machine-first, hybrid-native world. Cosmetic changes are always nice, but Agent ID, passkey profiles, improved app backup, and guest user flows.

We've seen that #QuantumComputing, especially at scale, can't be rushed. Something this monumental can't trade stability for speed. This Cornell–IBM collaboration takes one of the most promising ideas in quantum, topological fault tolerance, and shows that it can actually work.

Everyone talks about AI processing data—but the real risk is in what it surfaces. AI doesn’t always know what it’s revealing. Without strong identity governance, even safe queries can expose sensitive data. It’s not rogue AI you should fear—it’s trusted AI in outdated.

We often talk about #cybersecurity like it's a tech problem. We don't often consider it to be a timing problem. But believe it or not, most attacks don’t succeed because systems fail. They succeed because detection fails. They fail because response is too slow, signals get

#AgenticAI won’t scale on legacy infrastructure. That’s why Power11 is worth paying attention to. It's a sign of what full-stack enterprise #AI needs to look like. By supporting #IBM’s model context protocol (MCP), this system is purpose-built to give AI tools and agents the.

Encouraging to see AI in education moving from top-down rollouts to real collaboration. The new AFT hub—backed by Microsoft & OpenAI—centers educators in the process. If AI’s in the classroom, teachers need a voice in shaping how it’s used. #AI #Education #EthicalTech.

#Security can’t come at the cost of usability. Luckily, it doesn’t have to. Whether you’re a 10-person startup or a national mortgage lender, the #IAM fundamentals stay the same: reduce friction for authorized users while hardening the perimeter for everyone else. That means.

Autonomous systems don’t just do—they decide. Identity isn’t just about access anymore. It’s about why, when, and whether access still makes sense. Identity is no longer a gate. It’s a living layer of trust. #IAM #Identity #Security

This is what happens when modernization meets mission-critical execution.

IBM brings exactly that: decades of systems integration leadership and secure #infrastructure delivery. Combined with Parsons' deep FAA roots, this is a highly strategic alignment to reinvent airspace infrastructure from the inside out.

One incredibly crucial part that's becoming more manageable than ever is real-time, secure, resilient decision-making across thousands of moving parts. It requires open systems, continuous feedback loops, and integration at scale.

Modernizing the National Airspace System is no small feat, but Parsons and #IBM are taking it head-on with the right balance of experience, engineering, and innovation. Routes are only part of the picture when it comes to #AirTraffic control.

Now, more than ever, it’s where modern cybersecurity has to begin. And I'll be the first to tell you that means IAM can’t be static. It has to think, adapt, and respond, just like the threats it’s built to stop.

Real-time behavioral analytics, continuous risk scoring, and context-aware decision-making are helping enterprises move from static rule enforcement to living, breathing trust models. The identity perimeter isn’t just where breaches start.

We're seeing more and more that the identity perimeter is becoming more defined by behavior than credentials. Threats are growing more dynamic, and #AI-driven #IAM is becoming the backbone of adaptive defense.

Beyond that, it's more representative of how knowledge work happens: layered, iterative, & full of trade-offs. As more industries look to AI for complex decision-making, this approach could become a blueprint, with coordinated agents, governed insight, & real-time adaptability.

It analyzes, debates, and sequences diagnostics like a physician would. And it does so across multiple leading #AI models, from GPT to Gemini to Claude. Yes, this is more accurate than any single AI (or even a panel of human experts).

#Microsoft is calling this a step toward medical superintelligence, but there's another aspect of this that's particularly interesting to me:. The way it mirrors how real-world decisions are made. Their MAI-DxO system doesn't stop at summarizing symptoms.

Security should live in the culture. When it does, it starts naturally scaling with the business.

Humans are also the biggest opportunity. Shifting from awareness to behavior requires more than training. It requires full commitment from #leadership. When teams see security as “how we work” instead of “what we’re told,” it stops being a mandate and becomes a mindset.