Skip To Main Content
Nicholas Conley on Muck Rack

Nicholas Conley

Verified
New Hampshire
As seen in: Looper, New Hampshire Jewish Reporter, Medium, HuffPost, Nature, Scribd, Wiley Online Library, Cisco Blogs, MDPI, Vox, Audible Blog, Inquisitr and
Author of Knight in Paper Armor, Pale Highway, Intraterrestrial, Ending Forever. Journalist. Editor. Coffee vigilante.
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Nicholas

Contact Nicholas, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Introducing Agent Harness Testing in Cisco AI Defense

|
By Nicholas Conley Verified, Gurpreet Kaur Khalsa
| Cisco Blogs
Today, we are excited to introduce Agent Validation as a new evaluation capability in AI Defense: Explorer Edition, the free self-service version of Cisco AI Defense, that is built specifically for agentic AI systems. Agent Validation builds on the agentic security enhancements to Cisco AI Defense announced at Cisco Live, which introduced adaptive red teaming, Policy Studio guardrails, and supply chain discovery for agents.
Open in Who Shared Issue with article?

Proprietary Problems: No Frontier Model Is Multi-Turn Immune

|
By Nicholas Conley Verified, Amy Chang
| Cisco Blogs
The dominant safety benchmarks for frontier large language models (LLMs)share a structural assumption: that a single prompt and a single model response are enough to characterize how a model behaves under adversarial attack. These benchmarks inform model cards, safety reports, and procurement decisions across the industry, but they all only measure one narrow slice of attacker behavior.
Open in Who Shared Issue with article?

A brain reward circuit inhibited by next-generation weight-loss drugs in mice

|
By Elizabeth Godschall, Taha Buğra Güngül, Isabelle R. Sajonia, Aleyna Buyukaksakal, Austin B. Keeler, Guilian Tian, Yu Shi, Tyler Deutsch, Eric J. Steacy, Maisie E. Crook, Yuchen Zhang, Nicholas Conley Verified, Addison Webster, O. Yipkin Calhan, Weile Liu, Karan Malik, Kevin T. Beier, Larry S. Zweifel, Manoj K. Patel, John Campbell, Christopher D. Deppmann, Ali D. Güler, Orien Li, Sophia Ogilvie, Omar Koita, Chloe Xinzhu Guo, Gulsun Memi, Amani Akkoub, Kaleigh I. West, Sara Michel-Le, Arun Karthikeyan, Grace van Gerven, Olivia A. Dell’Aglio
| Nature Verified
Abstract Glucagon-like peptide 1 receptor agonists (GLP1RAs) effectively reduce body weight and improve metabolic outcomes; however, established peptide-based therapies require injections and are complex to manufacture1,2,3. Small-molecule GLP1RAs promise oral bioavailability and scalable manufacturing, but their selective binding to human versus rodent receptors has limited mechanistic studies4,5,6,7,8,9.
Open in Who Shared Issue with article?
See all 483 licensed articles (485 Total)