Vecta Compute

Runtime security, cost control & governance for AI agents

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Runtime security, cost control & governance for AI agents

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Authentication & identity tools

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Observability tools

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AI Agents

Autonomous AI agents touch your systems, data and budget at machine speed — usually with no boundaries and no audit trail. Vecta Compute governs every agent at runtime: it enforces what they can do, accounts for what they spend, and ties every action back to the business task. Wrap your existing agents with no code changes. Every MCP tool call, A2A message and SQL statement is captured — and you can pause, resume or terminate a workflow the moment it goes wrong.

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Launch tags:Artificial Intelligence•Tech•Security

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Maker

📌

Most solutions in the market address the problem of Agentic AI security at only one layer - the application or L7 layer. This leaves multiple blind-spots, leaving other valuable enterprise resources (like network ports, filesystem, local data, Identities etc.) exposed to breaches. Most other early solutions only offered a passive, wait-and-verify approach where they would report the breach once it happened. This was frustrating because by then the damage was already done. At Vecta, we decided that Agentic security cannot be solved at a single layer of the execution stack. So we built an E2E, multi-layered solution which is infrastructure based and not a wrapper or tool to address the issues of agentic access control by policy definition, offering a kill-switch, isolation, deep forensics, and a complete audit trail for single and multi-agent workflows allowing a customer deep insight into all of his workflows where he can perform analytics, correlate with higher level business processes and workflows, and reduce his/her effort toward internal audits, regulatory compliance by as much as 35%, by providing all detailed agentic workflow Audit trails/logs and analytics in a single view for the CIO/CISO/CFO.

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2mo ago

Maker

Hey Product Hunt 👋

AI agents are shipping to production everywhere — and most of them are running with root, no budget, and no audit trail. They call tools, hit databases, spend tokens, and talk to other

agents, all autonomously. When one goes wrong, most teams can't answer three basic questions: what did it do, what did it cost, and can I stop it mid-execution?

Vecta Compute is runtime security + governance for agentic AI. You wrap your existing agents (no code changes) and get:

🛡️ Enforcement — access boundaries per agent, enforced live. No agent can reach a system or delete data it wasn't granted. Pause, resume, or auto-terminate a whole workflow the moment it

violates policy — while it's running.

🔎 Total visibility — every MCP tool call, A2A message, and SQL statement captured with its function name and parameters, in one tamper-evident audit trail. `read_document{"title":"Q3

Report"}`, `DROP TABLE` refused at the wire, `message/send{department:"Engineering"}` — all of it, like a query log for your agents.

💸 Cost control — every dollar of AI spend accounted for in real time. Budget limits per agent, per workflow, per tenant, with the agents burning tokens and tool/API licenses identified as

it happens.

📊 Business ROI — every agentic action correlated to the business process and revenue it serves, across single agents and whole multi-agent workflows.

Two tiers, one platform:

• Core Enforcement Suite — full-stack runtime enforcement, control & forensics for every agent

• Cross-Agent Governance & Audit — governance, lineage & audit across entire multi-agent workflows

Built by ex-Microsoft Azure Core AI/ML platform leads — the people who ran this kind of infrastructure at scale.

👉 Try it free: https://vectacompute.ai/try-free

We'd love your feedback — especially if you're deploying agents in production. What's your scariest "the agent did WHAT?" moment? 👇