Latest Stories
10 things you should include in your AI policy
From understanding what AI means in the context of the organization to being compliant and not forgetting the role third parties play, here are ten key things to keep in mind when creating an AI policy.
-
/
How cybersecurity leaders are securing AI infrastructures
-
AI will drive more workforce expansion for tech pros than reduction, Linux Foundation reports
-
I vibe-coded a dog birthday app. We still need developers.
-
/
Top 10 MCP vulnerabilities: The hidden risks of AI integrations
-
/
MCP is fueling agentic AI — and introducing new security risks
-
Licensing lessons from VMware-Siemens spat
Award-winning articles
-
Broadcom’s vision for VMware highlights private clouds, private AI
-
With Project Cypress, VMware brings generative AI to cyberdefense
-
NIST finally settles on quantum-safe crypto standards
-
Post-quantum encryption: Crypto flexibility will prepare firms for quantum threat, experts say
-
Proof-of-concept quantum repeaters bring quantum networks a big step closer
-
Error-correction breakthroughs bring quantum computing a step closer
-
How AI chatbot ChatGPT changes the phishing game
-
Private 5G keeps Whirlpool driverless vehicles rolling
Artificial Intelligence
-
/
How cybersecurity leaders are securing AI infrastructures
AI models, agentic frameworks, data pipelines, and all the tools, services, and open-source libraries that make AI possible are evolving quickly and cybersecurity leaders must be on top of it.
-
AI will drive more workforce expansion for tech pros than reduction, Linux Foundation reports
The big takeaway from this year’s Linux Foundation tech talent report is that despite fears of layoffs, jobs are being created, with particular growth in jobs requiring AI. In addition, there are still significant talent shortages in cybersecurity, cloud, and platform engineering.
-
I vibe-coded a dog birthday app. We still need developers.
Can a non-developer use vibe coding to build and deploy a full-stack app? And can that app actually do anything useful?
-
/
MCP is fueling agentic AI — and introducing new security risks
Model Context Protocol (MCP) allows AI agents and chatbots to connect to data sources, tools, and other services, but they pose significant risks for enterprises that roll them out without having proper security guardrails in place.
-
/
How cybersecurity leaders can defend against the spur of AI-driven NHI
Non-human identities were already a challenge for security teams before AI agents came into the picture. Now, companies that haven’t come to grips with this problem will see it become even more critical.
-
/
Top 9 generative AI use cases for business
Advanced chatbots, digital assistants, and coding helpers seem to be some of the sweet spots for gen AI use so far in business.
-
/
7 ways synthetic data creates business value
Synthetic data has long been used to create larger training sets for AI while preserving privacy and protecting sensitive information. But its use has historically been limited to companies able to afford data scientists. Generative AI is changing all that.
spotlight
About
Maria Korolov is an award-winning technology journalist who covers artificial intelligence, cybersecurity, and quantum computing.
CONTACT
The best way to reach Maria Korolov is by email at [email protected].
Latest Quantum Computing Articles
IBM announced an error correction breakthrough that will lead to a large-scale, fault-tolerant quantum computer by 2029.
Errors are the top obstacle preventing the industry from having usable quantum computers.
The time is now to create cryptography polices and plan for a transition to post-quantum encryption.
The Defense Advanced Research Projects Agency has selected 15 quantum computing companies to help bring quantum computing closer, and is spending millions on the project.
IonQ and Alice & Bob, have both announced breakthroughs that bring quantum computing closer to reality
D-Wave explains how quantum supremacy can be used to handle more than theoretical problems
Latest Cybersecurity Articles
AI models, agentic frameworks, data pipelines, and all the tools, services, and open-source libraries that make AI possible are evolving quickly and cybersecurity leaders must be on top of it.
Model Context Protocol (MCP) use is increasing in popularity for connecting AI agents to data sources, and other services. But so too are vulnerabilities that bring unique risks to agentic systems.
Model Context Protocol (MCP) allows AI agents and chatbots to connect to data sources, tools, and other services, but they pose significant risks for enterprises that roll them out without having proper security guardrails in place.
Siemens got into some hot water after Broadcom acquired VMware and changed licensing terms. What can enterprises learn from this dispute?
The Broadcom/VMware licensing saga timeline
Non-human identities were already a challenge for security teams before AI agents came into the picture. Now, companies that haven’t come to grips with this problem will see it become even more critical.
Latest Blog Posts
The biggest problem is inappropriate pitches. I didn’t do consumer finance — I work for a trade publication, not a consumer magazine! The PR folks…
Many trade publications — as well as academic publications — don’t pay contributors. The reason is that the people who contribute are getting something other…
If you’re new to freelancing or new to the area, you might not have a lot of story ideas handy, and you need a LOT…
Looking for outlets to send you abroad is actually the *last* step of a going-overseas process. The first thing is, you need to ask yourself…
I’ve been a freelancer for most of the past ten years, and have also edited the work of many freelancers in various editing jobs. Read…