Why and How to Prioritize Transparency In Data Modernization Projects
Each time you complete a sprint (meaning a unit of work that takes place over a preplanned period of time), send a report to the customer about what took place, as well as…
-
-
Choosing the Right MCP Server for Production AI Agents
The open standard Anthropic published in November 2024 has moved faster than most anticipated. MCP now sits beneath a growing layer of production agent workflows, and the infrastructure choices teams make at this…
-
AI, Cloud, Compliance: All of It Depends on Data You’ve Never Verified
DORA requires financial entities to report major ICT incidents within four hours of classification. NIS2 sets a 24-hour window for significant breaches. Both carry penalties of up to 2% of annual global turnover…
-
Understanding Cloud Data Egress: Strategies to Cut Outbound Transfer Fees
The pricing structure itself adds complexity. Egress charges generally depend on how much data moved, where it went, and which geographic region it originated from. Traffic staying within a single cloud ecosystem may…
-
Building Secure AI Agent Deployments: Infrastructure and Provider Requirements
These aren’t exotic requirements. They’re the natural result of running software that makes decisions on its own. And they become significantly harder to retrofit once workloads are in production and teams have gotten…
-
Managed Dedicated Servers With DDoS Protection: What Buyers Actually Need to Verify
That said, the full WAF, CDN, and DDoS bundle sometimes sits exclusively on a custom tier. That structure is not inherently disqualifying, but it does require a direct conversation about what the standard…
-
Securing Agentic AI: From Hidden Exposures to Managed Attack Surface
Two protocols sit behind this. MCP pushes exposure outward, toward the tools and systems agents interact with. A2A pushes it sideways, across the agents themselves. The difference matters enormously, because the attack paths…
-
What Makes an Enterprise AI System Production-Ready, and Why Most Never Get There
The economics of AI inference don’t behave like the economics of conventional compute. A pilot that runs comfortably on a small user base can become financially unworkable at production volume, not because anything…
-
How MSPs Are Turning Migration Into a Scalable Revenue Engine
What starts as a migration project can become a broader modernization initiative that delivers value across multiple phases of the customer lifecycle. This approach expands project revenue while helping customers navigate increasingly complex…
-
Ron Rabinowitz, CEO of OpenLegacy, on Making Legacy Systems AI-Ready
The key question is whether you have behavioral evidence, not just documentation or code comments. If you can run both the old and new systems with the same inputs and compare outputs, you…
-
MSP Challenges and Opportunities in 2026: Consolidation, Compliance, and AI
When a provider supports multiple security platforms, separate monitoring tools, several backup solutions, and independent management systems, the overhead adds up fast, training gets harder, reporting becomes fragmented, and incident response slows down…
-
Banking is winning the trust war. Everyone else is falling behind
In my experience working with some of these financial institutions as a consumer identity and access management (CIAM) professional, here’s where I’ve seen them getting it right. Banking’s trust advantage was not built…
-
How to Build Real-Time Industrial Monitoring Without the Security Risk
This alone gives operations teams more real-time visibility than ninety percent of industrial plants have today. When a plant director opens the dashboard from their phone and sees four red parameters and twelve…
-
The Trust Algorithm: Alice Sesay Pope on What Amazon Taught Her About AI and Trust
Done right, the sequence is reversed. The reskilling starts before the tools arrive, not after, and it starts with honesty. The first move is to name the change out loud and early. You…
-
Leading AI SOC Platforms for 2026: How to Choose the Right One
What does your detection engineering maturity look like? Teams with established detection rules want platforms that can build on existing logic. Teams still developing their detection coverage need platforms that can generate detection…
-
The Communications Cloud: Why Voice Now Needs Cloud Monitoring Services Too
Quality is the second reason to lean on data. You can hold quality steady even when several mismatched VoIP systems are wired together, each one speaking a different protocol, each handling call routing…
-
The Vault Inside the Drive: A Tech Industry Interview with FIU’s Professor Zhu
I’m an assistant professor at FIU’s Knight Foundation School of Computing and Information Sciences (KFSCIS), and I did my PhD at the University of Florida. My research centers on system security. What drew…
-
The True Cost of HIPAA Non-Compliance for Healthcare
Cloud computing has become essential to modern healthcare operations. Electronic health records, telehealth platforms, medical imaging systems, patient portals, and cloud-based communication tools all rely on infrastructure capable of securely storing and processing…
