One plane for security, governance & FinOps — built in, not bolted on.
Secure Evaluation and Runtime Trust for your models. Zero-trust ingestion, CPU-native guardrails at 0.70ms, 160+ policies, budgets enforced at admission — one audit trace across the whole stack.
One plane for the whole stack.
Security, governance, and FinOps on the same plane: every model verified at ingestion, every call guarded and budget-checked, every step in one immutable audit trace.
- Beat 1 — Where it sits. Bud SENTRY is Layer 06 of the eight-layer Bud stack — the Security and Governance layer. One plane for security, governance, FinOps and audit; a zero-trust model supply chain, verified before it ever runs; Bud Sentinel inside, guardrails at 0.70ms p50 on CPUs; 160+ policies, your IdP on day one, one immutable trace.
- Beat 2 — The trust problem. A downloaded model isn't just weights: it can carry executable scripts, obfuscated binaries, or embedded malware. And governance bolted on across separate tools leaves seams between every pair.
- Beat 3 — The zero-trust supply chain. Every model passes six gates before it ever runs: sandboxed fetch, multi-format scan (.pickle, .safetensors, GGUF, ONNX), exploit and trojaned-weight detection, a gated registry that admits verified artifacts only, deployment with a verified-state seal, and continuous monitoring against that baseline. Verified before it ever runs.
- Beat 4 — Sentinel, the guardrail engine inside SENTRY. Every input and output classified for jailbreaks, prompt injection, PII across 11 regions, and content safety at 0.70ms p50 — CPU-native, no GPU anywhere. 65,536 tokens classified natively. About $0.10 per 1M classifications versus about $24 on GPUs — 678× faster on the same silicon.
- Beat 5 — One gate for policy, identity and FinOps. Admission is a single gate: RBAC validated against your existing IdP (Okta, Entra ID, Google Workspace), 160+ policies checked, rate limits and budgets applied. An over-budget request is held, not destroyed — cost governance is enforcement on the same plane as security.
- Beat 6 — One trace, the whole lifecycle. A production request crosses the platform in eleven governed steps — Studio, SENTRY admission, Sentinel input guard, Gateway, Agent, MCP Foundry, Runtime, Sentinel output guard, Scaler, SENTRY audit record, ART. SENTRY owns four of them, and the result is one immutable, tamper-evident trace — so audit is an export, not a forensic exercise across scattered logs.
- Beat 7 — Benchmarked, not asserted. Every number is measured, not asserted: 0.70ms p50 per classification on CPU; $0.50 per hour versus $2–3 for GPU guardrails; 15–18× cost-performance; $0.10 per million classifications at CPU pricing throughout; ~25ms edge inference, 96× faster on-device; 124 million classifications a day. Methodology: single node, Intel Xeon, sustained load. Intel Corporation: "By optimizing Sentinel for Intel Xeon processors, Bud enables enterprises to scale AI safety with high performance and significantly lower total cost of ownership, without the cost and complexity of GPUs." — Sangeeta Roy, Director, Global Partner Business Leadership, Intel.
- Payoff — Built in. Not bolted on. Bud SENTRY — the governance plane — runs everywhere: cloud, on-prem, air-gapped, edge. Nothing needs a GPU and nothing calls home.
Zero-trust model ingestion
Every download triggers the security pipeline: sandboxed fetch, multi-format scanning (.pickle, .safetensors, GGUF, ONNX, more), exploit and trojaned-weight detection, gated registry.
Sentinel — runtime guardrails
The guardrail engine inside SENTRY: 23 specialised models across 33 variants, CPU-native via Resource Aware Attention — 0.70ms p50 at 10K concurrent connections, #1 balanced accuracy (84.56%).
Compliance enforcement
SOC 2, GDPR, and EU AI Act-aligned controls with full forensic audit trails — honest posture: certified vs. in-progress is documented on the Trust hub.
RBAC & identity
Granular role-based permissions across modules, projects, and APIs. Identity brokering via Okta, Entra ID, Google Workspace (OIDC, OAuth 2.0, SAML 2.0).
Continuous monitoring
Cluster, system, and traffic monitoring on deployed models — drift from verified state raises the alarm.
Immutable audit
Tamper-evident logs for prompts, responses, model versions, and every access event — one trace spans the full agent lifecycle.
Five bolted-on tools become one plane — security, governance & FinOps.
Guardrails, compliance, audit, access control, and spend limits usually live in three to five tools with no shared data model — and every boundary is a seam.
The only deployable operating point.
Six reasons SENTRY doesn't trade accuracy for latency or hardware.
Accuracy you can ship
The only evaluated model with attack-success and false-refusal rates both under 20%.
CPU-native speed
Single-digit milliseconds on commodity CPUs — faster than the baselines running on an A100.
Long context, one call
Full-length inputs classified natively — a single call, not a chunk-and-vote pipeline. Transformer baselines cap at 512 tokens.
Zero-trust supply chain
Every model pull passes six gates — sandboxed fetch, multi-format scan, exploit and trojaned-weight detection — before it ever runs.
One immutable trace
SENTRY closes the loop on every production request with a tamper-evident record — audit is an export.
No GPU, no egress
The same enforcement plane runs in the cloud, on-prem, air-gapped, and at the edge — nothing needs a GPU and nothing calls home.
What's inside the plane.
The guardrail engine, the serving path in front of it, and the evaluation machinery around them — the parts of SENTRY worth knowing by name.
Bud Sentinel
The guardrail engine inside Bud SENTRY — 23 specialised models across 33 variants classify every input and output, CPU-native via Resource Aware Attention.
Bud Guardrail Gateway
The path every classification travels — Sentinel's model family served from a single binary, on the CPU fleet the application already runs on.
Bud Evals
Native evaluation and red-teaming — immediate feedback on accuracy, safety, and compliance during agent development, before anything ships.
The full story, in depth.
The architecture, threat coverage, benchmarks, and methodology behind the claims, in full.
Product Brief
Bud SENTRY Product Brief
The deep-dive product reference
The zero-trust supply-chain pipeline, the eleven-step governed request path, Sentinel's RAA architecture, and every headline number paired with how it was measured.
Read the product briefWhite Paper
Bud Sentinel Whitepaper
A CPU-native safety guardrail for LLMs
The full benchmark tables — attack success and false-refusal rates vs. PIGuard, Prompt Guard 2, ProtectAI V2, and ArchGuard — plus the Resource Aware Attention architecture behind 0.70ms on Xeons.
Read the white paperComponent Page
Bud Sentinel
The guardrail engine inside SENTRY
The engine behind the 0.70ms guardrails, on its own page — the deployable operating point, Resource Aware Attention, and the hardware envelopes from a Xeon fleet to a fanless laptop.
Explore Bud SentinelPut your data on it.
The fastest way to see what an integrated AI operating system does for your enterprise is a proof-of-concept on your infrastructure, with your data.