AccuKnox AgentZ puts zero trust under agents
Covered by Signal Brief for B2B SaaS product managers — one of 5 tools in Issue #13 · accuknox.com
What it does
AccuKnox on Thursday launched AgentZ, a platform for building, running, and governing AI agents across teams and workflows — and its positioning is the point: an AI platform with security built in, rather than a security product that happens to use AI. The model is deliberately plain: Organizations, Workspaces, Agents, Workflows, and Sandboxes, with users and roles sitting across that structure for centralized administration and access control. A workflow combines an agent for computation, a sandbox for isolation, skills for reusable capabilities, credentials injected at runtime rather than stored, and triggers that determine when it runs. Every agent executes inside its own sandbox with a dedicated computer and filesystem; teams configure vCPU and RAM, filesystem read and write access, domain whitelisting, package management, environment variables, and network access — a defined boundary around where an agent can execute and what it can touch, enforced by a default-deny network policy. The platform is model-agnostic (GLM, Claude, Gemini, Kimi, and GPT all appear in the picker), connects MCP servers including Slack, GitHub, Notion, Linear, Asana, Figma, and Atlassian, schedules workflows with cron expressions, timeouts, and run-history limits, and records every step as a replayable audit trail — spans with model calls, tool calls, token breakdowns, and per-tool latency. Deployment spans SaaS, on-premises, and air-gapped, the same platform on your own infrastructure. The free plan covers up to three members with unlimited skills, sandbox guardrails, a small compute quota, and seven-day audit retention, and the repository is open on GitHub. Co-founder and CTO Rahul Jadhav: “AgentZ puts sandboxing, tool-level permissions, and runtime credential injection underneath the workflow itself, so every team is not rebuilding those controls from scratch.”
Why it matters for PMs
If your roadmap includes agent features, this is the shape of the controls your security team will ask about — and increasingly the procurement checklist for any enterprise deal that touches agents. Sandbox-per-agent, tool-level permissions, runtime credential injection, replayable audit: note that none of these ideas are novel; the product move is placing them underneath the workflow so teams inherit them instead of rebuilding them per project. That is the same pattern Okta applied to identity and Vercel to connectivity this week — governance as a platform default rather than a project. Two practical notes. First, the free tier plus an open repository is the modern trial motion for agent infrastructure: security controls get evaluated hands-on before anyone talks to sales, so if you sell into this space, your evaluation path is part of the product. Second, watch the category consolidate: harnesses, gateways, identity, and observability vendors are all racing to own the production-agents layer, and whoever owns it controls what ships. Choose your partners in that stack deliberately — switching later means re-platforming your governance.
The link Signal Brief published for this tool in Issue #13.
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