The CertKit Agent 1.6 is out. Three things in this release, all of them coming from the same underlying problem: the shorter certificate lifespans get, the more certificate deployment has to behave like real software deployments.

Vikor Scientific is a molecular diagnostics company based in Charleston, South Carolina, that now operates under the brand name Vanta Diagnostics. The company owns KorGene, a molecular testing laboratory, and partners with KorPath, an anatomical pathology laboratory based in Tampa, Florida. These diagnostic facilities process sensitive medical testing for thousands of patients across the United States.

Vector databases are everywhere now. If you are building anything with AI—recommendation engines, semantic search, RAG pipelines—you are probably running a vector database. And if you are running it in production, you are running Milvus on Kubernetes. Here is the problem. Your vector database holds millions of embeddings. Maybe hundreds of millions. Each one represents expensive processing—API calls to OpenAI, inference from your own models, hours of batch jobs.

As organizations rely more on Artificial Intelligence (AI) to power critical operations, the infrastructure supporting AI development and deployment is becoming a high-value target for cybercriminals. From model training and data pipelines to cloud workloads and APIs, AI operations rely on access to privileged credentials and critical systems.

SOC 2, which stands for Systems and Organization Controls 2, is a framework developed by the American Institute of Certified Public Accountants (AICPA) to evaluate controls for security, availability, processing integrity, confidentiality, and privacy. As agentic AI systems begin acting autonomously, AI and SOC 2 compliance become closely linked. These systems drive new efficiencies, but also introduce new risks.

AI agents aren’t applications. They’re employees. So why are we treating them like applications? AI agents don’t behave like classic applications. They access systems. They make decisions. They operate continuously. They interact with humans and other systems without being explicitly triggered each time. That’s not automation. That’s not scripts. That’s a digital worker.

LimaCharlie's Agentic SecOps Workspace (ASW) lets agentic AI security solutions operate directly inside your environment. Everything in LimaCharlie’s SecOps Cloud Platform connects via API. For us, AI isn't a bolt-on layer. It's woven into the same fabric as your detections, sensors, and integrations. Limacharlie’s approach makes it easy for users to bring-your-own-LLM into security operations.