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Where Olivares fits — we integrate, we don’t replace
Your stack already traces prompts, watches the host and inventories your estate. What no single layer answers is which agent — tied to which identity — actually read or wrote which resource. That is the gap Olivares fills, and it does so by consuming and enriching what you already run.
The landscape
What each layer sees — and where it stops
Each of these categories does its job well. None of them, on its own, attributes a real read or write on your infrastructure to a specific AI agent. Olivares is the agent-aware correlation that sits between them.
LLM observability
e.g. LiteLLM, Langfuse, Phoenix
- Sees
- Prompts, traces, latency and token cost — the model’s reasoning, at the application level.
- Where it stops
- Not the host: not which real database, store or API the agent actually read or wrote.
Host & runtime
e.g. eBPF tools — Falco, Tetragon
- Sees
- Syscalls, processes and network egress on the host, in real time.
- Where it stops
- No agent-aware attribution: a process and a container ID, not a named agent and identity.
AI control towers
e.g. Datadog AI Agents Console, Microsoft Agent 365, ServiceNow AI Control Tower
- Sees
- Estate inventory, posture and workflow across the tools your organisation already runs.
- Where it stops
- Only as good as the inventory fed into them — they need a ground-truth source underneath.
Where Olivares fits
The agent-aware read/write layer
Olivares answers the question the others leave open, and keeps the answer inside your perimeter.
Who touched what, read versus write
It correlates the signals you already emit into one relationship: this agent, tied to this identity, reads or writes this resource — with least-privilege drift when observed access diverges from what you permitted.
Fused from real signals
Native database audit, cloud audit logs, OpenTelemetry, eBPF and MCP introspection are reconciled into a single graph — host truth fused with tool-call semantics, attributed to an agent.
Self-hosted and vendor-neutral
The access relationships and the governance record stay on your infrastructure. No vendor lock-in, no mandatory calls home.
Integrate, not compete
It strengthens the tools you keep
Olivares is built to sit alongside your stack and make it better, not to ask you to rip anything out.
Above your proxy and traces
It consumes OpenTelemetry and works above an LLM proxy and your tracing — adding the infrastructure-level read/write map they were never meant to produce.
Fused with host truth
It treats eBPF and native-audit streams as signals, correlating raw host activity with tool-call semantics so an access ties back to an agent, not just a process.
Enriching your control tower
It pushes read-only inventory, posture and signed, tamper-evident findings (in open formats like OCSF) into your SIEM, ITSM and AI control tower — feeding them ground truth, not replacing them.
What Olivares is — and is not
What it is
- The agent-aware ground truth: which agent and identity touched which resource, read versus write, with drift.
- Self-hosted, vendor-neutral and open-core under AGPL-3.0 — the complete product, on your infrastructure.
- A layer that consumes your existing signals and feeds your existing systems.
What it is not
- A replacement for your LLM tracing, your proxy, your eBPF tooling or your control tower — it consumes those signals and feeds those systems.
- A moat. The agent-aware correlation layer is an integration seam, not a category we claim to own.
- A certification, or an inline gate by default — Olivares is read-first and detective by default; enforcement is opt-in and governed.
Where it fits — questions
Does Olivares replace Langfuse or our LLM tracing?
No. LLM observability captures the model’s reasoning — prompts, traces, token cost — at the application level. Olivares works a layer down, on the infrastructure: which resource an agent actually read or wrote. It consumes OpenTelemetry, so it complements your tracing rather than competing with it.
Does it replace our SIEM or AI control tower?
No. Control towers and SIEMs are only as good as the inventory and findings fed into them. Olivares is a ground-truth source that enriches them — it pushes read-only inventory, posture and signed findings into Datadog, ServiceNow, Microsoft and your SIEM in open formats.
Don’t runtime/eBPF tools already show this?
eBPF tooling sees syscalls, processes and egress on the host, but attributes them to a process and a container — not to a named agent and identity. Olivares fuses that host truth with tool-call semantics and per-agent identity, so an access ties back to a specific agent.
Why does it need to be self-hosted?
Because the access relationships and the governance record are sensitive. Run self-hosted, they stay inside your perimeter; Olivares makes no mandatory calls home, and can run fully air-gapped. Air-gap covers Olivares itself — its access map and governance record; agents that use hosted models still reach their own provider’s API.
Add the layer your stack is missing
Deploy Olivares on your own infrastructure, point it at the signals you already emit, and get the agent-aware read/write map — without replacing a thing.