Komodor

In July 2025, a coding agent deleted a user's production database during a code freeze. It had been told not to make changes without approval, and it ran the commands anyway. The problem was that nothing sat between the agent and the database to refuse the command. Our latest post breaks down how guardrails that run outside your agents close that gap: 🔹 Five gates: agent start, tool call, tool response, model request, model response 🔹 Rules written once, applied to every agent they target 🔹 Block, hold for approval, redact or record only 🔹 Every decision on the record Read the full article >> https://lnkd.in/ehv-XpxM/?utm_medium=ppc&utm_source=linkedin&utm_campaign=Engagement-WW&utm_id=759814623&hsa_acc=504931288&hsa_cam=759814623&hsa_grp=824504613&hsa_ad=1584717123&hsa_net=linkedin&hsa_ver=3

A system prompt is a request, not a control. Instructions baked into an agent drift. That's why Komodor puts a checkpoint on every boundary a run crosses, and checks it against your rules before the agent acts: ▪️ Five gates: input, tool calls out, tool results in, prompts out, completions in ▪️ Cheapest check first: exact-match rules, then PII and secrets detectors, then an LLM judge only for what patterns can't catch ▪️ Four verdicts: allow and log, redact, block, or hold for approval ▪️ Same rules for every agent: ours, the ones you bring, and the ones you build An agent never decides its own consequences. Read how guardrails work >> https://lnkd.in/dfuWYGsZ/?utm_medium=ppc&utm_source=linkedin&utm_campaign=Engagement-WW&utm_id=759814623&hsa_acc=504931288&hsa_cam=759814623&hsa_grp=762403683&hsa_ad=1578133853&hsa_net=linkedin&hsa_ver=3

"When an agent reacts to your alerts automatically it changes the problem. Writing a good prompt matters less; running a system matters more." Getting an AI SRE agent to give a good answer when you prompt it is one problem. Letting it respond to production alerts on its own, at 3am, with nobody watching, is a different one. In Part 3 of our agent-building series, Nir Adler walks through everything around the model that makes autonomy safe: alert intake and dedup, queues and run budgets, pod isolation, sandboxes, traces you can audit, and evals that gate every change. Read the full article >> https://lnkd.in/ewG9P4Ey

"It's easy to spin up one agent, or write one skill. It's very hard to run a whole fleet of agents on your production systems 24/7." Following the launch of the Komodor Agentic Operations Platform, Co-Founder & CEO Ben Ofiri sat down with us to talk about the gap between agent prototypes and production, and why Komodor decided to open up its platform so enterprises can build, run, govern and optimize their own agents. Read the full interview >> https://lnkd.in/g9_NHWZG

Most context engineering advice is about one agent's context window. In production operations, the harder problems sit between agents and across time: what another agent already learned, whether this one can use it, and whether it's still true. Our new guide covers what to feed an agent, what to leave out, and why operations teams should treat context as shared, reviewed infrastructure. Read the full article >> https://lnkd.in/g2ZYQXfS/?utm_medium=ppc&utm_source=linkedin&utm_campaign=Engagement-WW&utm_id=759814623&hsa_acc=504931288&hsa_cam=759814623&hsa_grp=763203293&hsa_ad=1573073283&hsa_net=linkedin&hsa_ver=3

An agent that works on your laptop isn't close to ready for production. Getting there means choosing the model, the harness, the MCP servers, the permissions and the owner, then wiring all of it together by hand. That's where most pilots stall. With Komodor, you install the SDK on the harness you already use and it wires in automatically. Start with the 50+ production-proven agents we provide, bring yours, or build with us. Either way, every agent inherits the same guardrails, budgets and observability from its first run. Explore Build >> https://lnkd.in/d9gJncCm/?utm_medium=ppc&utm_source=linkedin&utm_campaign=Engagement-WW&utm_id=759814623&hsa_acc=504931288&hsa_cam=759814623&hsa_grp=762403683&hsa_ad=1573053253&hsa_net=linkedin&hsa_ver=3