Team Blog25 articles found
AI agents can access data, call APIs and act on their own. Zero Trust for AI agents verifies every agent, limits its permissions and monitors every action. Here is how to implement it.
As AI moves from generating answers to taking actions, governance has to control what AI can access, what it can do, and who stays accountable. Here are the seven areas to control and a framework to start.
Routing picks the next model; it doesn't carry memory. Why lock-in moves to whoever holds your context, and what to do about it by role.
Reference architecture, switch runbook, dual-index embedding migration, cloud mapping and a six-week plan for keeping AI work when the model changes.
A presidential executive order has quietly created something the AI industry hasn't dealt with before: a federal review process that sits between a frontierā¦
This week, Unlimited Technology Systems - an Ohio-based revenue cycle management and practice management software provider serving more than 4,500 oncologyā¦
And Why Your Vendor List Is the Real Risk
Every vendor pitch this year says āAI-powered threat detection.ā Hereās what the actual 2026 incident-response data says about how breaches really happen nowā¦
Every acquiring CTO has heard the āAI will modernize your stackā pitch. Hereās what the actual M&A and engineering-productivity data says about whereā¦
A patched SharePoint flaw got exploited anyway, months after the fix shipped. A remote monitoring platform turned out to have no real authentication behindā¦
For decades, the VPN was the default answer to remote access security. Connect through an encrypted tunnel, access the corporate network ā job done. Simpleā¦
Cybersecurity has entered a new era. The traditional approach of protecting a business by securing its network perimeter is no longer sufficient. In 2026ā¦
Last year, I was sitting in a government hospital in Pune watching a billing executive manually enter the same patient's data into three different systems.
Artificial Intelligence (AI) is no longer something we talk about as āthe future.ā Itās already here - and chances are, you interact with it more often thanā¦
AI automation is the use of artificial intelligence to automate business tasks, workflows, and operational processes that normally require manual effort orā¦
Indiaās cybersecurity story is changing fast. The old threats are still here, but a new one is moving into the center of the conversation: AI-driven cyberā¦
Why Enterprise AI Security Is Becoming The Most Important Technology Battle In The World
What if an employee got a Teams message from "IT Support" asking for remote access to fix an urgent issue? Most would comply without a second thought. That'sā¦
The popularity of AI tools is at an all-time high, and cybercriminals are taking notice. A new campaign has been discovered where attackers are using a fakeā¦
In the fast-paced world of artificial intelligence, where innovation moves at warp speed, Alibaba has just dropped a bombshell at its annual conferenceā¦
The rapid adoption of digital payment assets, such as cryptocurrencies and decentralized finance (DeFi) platforms, has transformed global finance butā¦
In the realm of data management, the evolution of databases has been nothing short of fascinating. With the rise of complex data structures and the need forā¦
Effective API management allows organizations to securely combine data and capabilities from multiple systems, enabling seamless user experiences acrossā¦
Effective UI and UX design contribute to increased user engagement, customer satisfaction, and ultimately the success of digital products and services.
What would be the future of Database Systems, and why Graph Technology is the future of Database Systems
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