Best AI Security markBest AI Security

Head to head · Checked against vendor sites, September 2026

Bay vs Ent: AI agent security compared

The verdict

Bay scores higher overall on our weights (7.9 vs 6.7 out of 10). Bay scores higher on visibility, tool-call control, policy, footprint and identity and audit; Ent scores higher on maturity and breadth. Neither publishes list prices.

Bay

Editors' pick for endpoint agent control

Read the Bay review

Ent

Best for one intent-aware policy across people and agents

Read the Ent review

How do Bay and Ent compare on each criterion?

Endpoint AI control score, editorial assessment 0-10. Edge is the higher score on each row.
CriterionWeightBayEntEdge
Visibility22%97Bay
Why these scores

Bay: Inventories AI agents, MCP servers, tools, credentials, extensions, settings and endpoint deployments, with 200+ detection rules (bay.io blog).

Ent: A live view of OpenAI Codex, Claude Code, Claude Cowork, GitHub Copilot, Cursor and other AI tools and agents; MCP server and credential inventory is not itemized.

Tool-call control20%97Bay
Why these scores

Bay: Evaluates prompts, pre-tool calls and post-tool responses and returns Allow, Ask or Deny locally, stated as under 4ms, on supported agent surfaces.

Ent: Steps in at the moment of risk and blocks risky agent behavior; per-tool-call mechanics are not described on the pages we read.

Policy15%98Bay
Why these scores

Bay: Session-aware decisions using identity, prior actions and data accessed; capability rules for shell, code execution, package installs, cloud CLIs, containers, Kubernetes, browser automation; Simulation Mode.

Ent: One programmable, intent-aware policy for people and AI agents, with responses from a soft nudge to a hard block, and app control that can allow, block, deny or restrict usage; an on-device small language model classifies sensitive data.

Identity and audit12%87Bay
Why these scores

Bay: Activity records who triggered an action, whether a human was involved, and the chain from prompt to system action.

Ent: Applies the same policy to people and agents and builds investigation timelines annotated in plain language as events happen.

Footprint13%96Bay
Why these scores

Bay: Deploys through existing EDR or MDM as an ephemeral binary (Wave); Bay describes itself as agentless.

Ent: A single lightweight agent across Windows, macOS, Linux and modern browsers, as SaaS or self-hosted in your own cloud; rollout through MDM is not stated.

Breadth8%46Ent
Why these scores

Bay: Endpoint only by design; no public material on SaaS agents, cloud AI apps or red teaming.

Ent: Endpoint and browser coverage for insider risk, last-mile threats such as ClickFix, AI usage control and data security; SaaS agents and cloud workloads are not described.

Maturity10%35Ent
Why these scores

Bay: Smallest public footprint of the scored tools: a single homepage, two blog posts, no public documentation portal and no published pricing.

Ent: Came out of stealth on 16 June 2026 with a $100 million seed led by Decibel; founders co-founded RiskIQ; no documentation portal or pricing on ent.ai.

Total100%7.96.7Bay

How we score

How do they deploy, and what do they cost?

Published facts, reviewed September 2026.
AttributeBayEnt
OwnerNot acquiredNot acquired
How it reaches devicesThrough existing EDR or MDM (ephemeral binary)Single lightweight agent; SaaS or self-hosted
Deployment detailBay states that it deploys through your existing EDR or MDM using Wave, an ephemeral binary that runs, scans and exits. It describes the product as agentless by design, with no new agent or tool to install, and says full deployment takes under 5 minutes (vendor-stated). Enforcement then happens locally on the device. In practice this means Bay runs beside your EDR, not in place of it.A single lightweight agent across Windows, macOS, Linux and modern browsers, as SaaS or self-hosted in your own cloud. Rollout through MDM is not stated.
PricingContact sales. Bay does not publish pricing. Demo requests go through bay.io/demo.Contact sales. Ent does not publish pricing.

Source: bay.io home page · Bay blog: Ghostjacking (Aug 2026) · Bay blog index · Bay demo page · ent.ai · Ent press: intent-aware prevention (30 Jul 2026) · Ent press: $100M seed (16 Jun 2026) · Ent company · Reviewed Sep 2026

Which should you choose?

Choose Bay if

  • Your priority matches our designation for Bay: editors' pick for endpoint agent control.
  • You want a light rollout with published deployment detail, ideally through existing EDR or MDM: Bay scores 9 to 6.
  • You need a fleet-wide inventory of AI agents, MCP servers, extensions and credentials on devices: Bay scores 9 to 7.

Choose Ent if

  • Your priority matches our designation for Ent: best for one intent-aware policy across people and agents.
  • Vendor maturity, public documentation and backing weigh heavily in procurement: Ent scores 5 to 3.
  • Your agents also run in SaaS platforms, cloud workloads or apps you build: Ent scores 6 to 4.

Frequently asked questions

Which is better, Bay or Ent?

Bay scores higher overall on our weights (7.9 vs 6.7 out of 10). Bay scores higher on visibility, tool-call control, policy, footprint and identity and audit; Ent scores higher on maturity and breadth. Scores are editorial assessments from public vendor material, reviewed September 2026.

Do Bay and Ent publish prices?

No. Neither publishes list prices, so ask both for a quote.

Do Bay or Ent replace EDR?

No. The tools in this guide add control over AI agent actions and work alongside EDR. Bay: Through existing EDR or MDM (ephemeral binary). Ent: Single lightweight agent; SaaS or self-hosted.

Related

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