San Francisco, CA, USA
2016
  |  By Alister Baroi
In short, healthcare is adopting AI agents faster than almost any other industry. More than 85% of Epic’s customers already use Epic AI, Epic’s Agent Factory will let every health system build agents of its own from 2027, and 43% of health systems were piloting agentic AI at the start of this year.
  |  By Peter Kelly
At Tigera, we spend a lot of time thinking about agent security: identity, policy, runtime controls, and the record left behind after an agent acts. Coding agents create an interesting problem because, in most organizations, they didn’t arrive through the front door. Few companies ran a platform evaluation and rolled Claude Code out to 500 developers. Developers installed it themselves.
  |  By Dillon Barry
Jamin Ball’s recent piece, “Systems of Record Won the SaaS Era — Clearinghouses Will Win the Agents Era,” is the cleanest articulation I’ve seen of where the durable moat goes next. His argument is simple and, I think, correct: the SaaS era rewarded whoever owned the system of record, and the agent era will reward whoever owns the clearinghouse.
  |  By Peter Kelly
Human approval is easy when you are sitting in front of the agent. For an agent running by itself in a cluster, almost none of that holds. You’re in a meeting and your agent is running in a cluster. It has a service account, it has been asked to keep a service healthy, and it has just worked out that the right fix is to roll back a database migration. Nobody is watching it. That was rather the point of deploying it. You want to get notified to approve such an important action.
  |  By Alister Baroi
In short, this is a beginner’s guide to deploying an AI agent on Kubernetes. You will containerize an agent, store its API key as a Kubernetes secret, write a deployment with health probes and resource limits, expose it with a service, and lock down its network egress, in that order, with a working manifest at every step. On a local kind cluster the whole walkthrough takes about an hour.
  |  By Alister Baroi
Every organization running AI agents has already made a hosting decision. Most made it by accident. The sales team switched on the agent built into their CRM. Engineering is piloting a coding agent in a vendor’s cloud. Someone on the data team deployed a LangGraph service to a VM with a database key in an environment variable, and someone else is running an agent framework on a laptop with production credentials in a dotfile. Each of these is a hosting decision.
  |  By Alister Baroi
The AI red teaming market grew up fast this year. OpenAI bought Promptfoo, Cisco and Microsoft shipped automated attack suites, and a seed-stage startup publicly compromised 50 of 55 live customer service bots. These platforms find real problems at a scale no human team can match. But when you read the findings closely, a pattern emerges: agents talked into refunds, transfers, and data leaks they had standing authority to perform. Patching the prompt fixes one phrasing until the next model update.
  |  By Alister Baroi
In short, buried in the transport section of the MCP 2026-07-28 release candidate are three changes that matter more to infrastructure teams than to anyone else: mandatory Mcp-Method and Mcp-Name headers, cache-control-style ttlMs and cacheScope fields, and standardized W3C Trace Context propagation. Together with the stateless core, they turn MCP from a protocol that gateways had to fight into one that meets them halfway.
  |  By Veronika Smolik
Planning a migration off NSX usually starts with a networking conversation. Segments, VLANs, routing topology and BGP peering are not things that map cleanly to Kubernetes-native constructs the way the NSX distributed firewall maps to Calico’s tiered microsegmentation. NSX virtualizes the network layer in ways that Kubernetes doesn’t replicate by default. There is no native concept of a Layer 2 segment or VLAN, for instance.
  |  By Veronika Smolik
For many organizations, modernizing their VMs before migrating them is not a realistic option, especially when external events trigger the migration. Mapping dependencies and refactoring network configurations before the deadline is impractical, forcing VMs to move as they are. The mechanics of moving a VM are largely solved.
  |  By Tigera
Tigera provides the industry’s only active Cloud-Native Application Protection Platform (CNAPP) with full-stack observability for containers, Kubernetes, and cloud. Calico prevents, detects, troubleshoots, and automatically mitigates exposure risks of security issues in build, deploy, and runtime stages across multi-cluster, multi-cloud, and hybrid deployments. Calico works with popular managed Kubernetes services such as AKS, EKS, and GKE, as well as self-managed Kubernetes distributions including Red Hat OpenShift, SUSE/Rancher, VMware Tanzu, and Mirantis.
  |  By Tigera
Attackers are continuously evolving their techniques to target Kubernetes. They are actively using Kubernetes and Docker functionality in addition to traditional attack surfaces to compromise, gain required privileges and add a backdoor entry to the clusters. A combination of Kubernetes security and observability tools is required to ensure the cloud infrastructure monitoring and lockdown and to enable DevSecOps teams with the right tools for the job.
  |  By Tigera
It’s a daunting task starting down the path to securing your workloads running on Kubernetes in the Cloud. There are no shortages of vendors with great tools in the Cloud security space. There is a multitude of domains that must be accounted for, along with internal challenges in bringing an organization along into new ways of thinking. This talk will focus on Discover’s Cloud security journey, with an overview of how the program has evolved over the last 4 years, key capabilities & concepts that have been embraced and challenges faced.
  |  By Tigera
Containers, Microservices, and cloud-based applications have revolutionized the way companies build and deliver products globally. This has also changed the attack surface and requires very different security strategies and tools to avoid exposure to sensitive information and other cyber attacks. Regulatory compliance has also evolved making it ever so important for companies to adapt to this new paradigm.
  |  By Tigera
Join us as we look at the advantages, but also the practical challenges, of applying modern, policy-as-code ("PaC") approaches in a modern cloud-ready enterprise. This talk will show how Morgan Stanley is drawing upon years of experience in its own proprietary implementation of PaC in its approach to embracing today's ideas. We will look at a diverse set of considerations from GitOps as a method to applying PaC in modern software development and deployment to enforcement of best practices and compliance in the Cloud.
  |  By Tigera
Security as an afterthought is no longer an option and must be deeply embedded in the design and implementation of the products that will be running in the cloud. It is increasingly more critical for many security teams to be almost, if not equally, knowledgeable of the emerging and rapidly evolving technology. Join Manish Sampat from Tigera, as explores the topic in detail with Stan Lee from Paypal.
  |  By Tigera
Security is critical for your Kubernetes-based applications. Join this session to learn about the security features and best practices for safeguarding your Kubernetes environments.
  |  By Tigera
Compliance automation is a commonly overlooked area of Kubernetes observability. The question is: how do you automate compliance to a security framework that isn’t well understood by DevSecOps teams to begin with? This lack of understanding contributes to mismanaged compliance efforts and in a worst-case scenario, audit exposures and organizational risk. This talk will walk through an example of how to 1) map compliance controls to specific Kubernetes technical configuration 2) automate the assessment of those controls 3) visualize the assessment results. DevSecOps teams will better understand how to incorporate compliance automation alongside security automation.
  |  By Tigera
Through practical guidance and best practice recommendations, this book will help you understand why cloud-native applications require a modern approach to security and observability practices, and how to adopt a holistic security and observability strategy for building and securing cloud-native applications running on Kubernetes.
  |  By Tigera
A step-by-step eBook covering everything you need to know to confidently approach Kubernetes networking, starting with basic networking concepts, all the way through to advanced Kubernetes networking with eBPF.
  |  By Tigera
This whitepaper explains five best practices to help meet network security and compliance requirements for modern microservices stack.
  |  By Tigera
Discover how Tigera can help you achieve a scalable, secure, and compliant approach to containers on AWS.
  |  By Tigera
This guide contains detailed technical instructions on how to install and configure network security on Kubernetes platforms.
  |  By Tigera
Tigera commission an unbiased, third-party research firm to speak with enterprise security professionals to understand the state of network security with modern applications.
  |  By Tigera
OpenShift provides a declarative, automated platform to integrate developer workflows into application deployments leveraging open source building blocks such as Kubernetes.
  |  By Tigera
Applying a uniform policy framework allows enterprises to achieve consistent network policy across multiple container orchestrators.
  |  By Tigera
Using simplicity to deliver the performance, stability, and manageability for application connectivity at scale in cloud native platforms such as Kubernetes.

Kubernetes is being adopted by every major enterprise on the planet for deploying modern, containerized applications. However, containers are highly dynamic and break their existing security models. Tigera provides zero-trust network security and continuous compliance for Kubernetes platforms that enables enterprises to meet their security and compliance requirements.

Tigera’s technology is recognized and trusted as the de facto standard for Kubernetes network security. Our open source software, Tigera Calico, provides production-grade security, and our commercial offerings layer on advanced security capabilities, enterprise controls, and compliance reporting.

Kubernetes Requires a Modern Approach to Security and Compliance:

  • Zero-Trust Network Security: With 40% or more of all breaches originating from within the network, you must always have to assume that something has been compromised. Applications running on Kubernetes make heavy use of the network for service to service communication. However, most clusters have been left wide open and are vulnerable to attack. A zero trust approach is the most secure way to lock down your Kubernetes platform.
  • Continuous Compliance: Kubernetes is dynamic and constantly changing. Moments after a compliance audit is completed the environment will have changed again. A continuous compliance solution is the only way to prove that your security controls have been implemented properly now and historically.
  • Visibility and Traceability: Applications running on Kubernetes Platforms have constantly changing IP addresses and locations that makes it impossible to use traditional flow logs to debug issues and investigate anomalous activity. The only accurate approach is to use Kubernetes labels and workload identity in your netflow logs.
  • Multi-cloud and Legacy: Many applications running on Kubernetes will not be greenfield. Applications often need to communicate securely with other systems outside of the cluster, such as on-premises or cloud-based VMs, bare metal servers and databases. To achieve zero trust security for Kubernetes, your security policies must be capable of expanding beyond the cluster.

Zero Trust Network Security and Continuous Compliance for Kubernetes Platforms.