HEAD-TO-HEAD · FACTS ONLY
AI Access Security vs Bay: AI endpoint control facts side by side
Short answer
AI Access Security describes 1 of the four product control types on the pages we read and Bay describes 1; they differ on on-device control and network or SSE proxy. On decisions, AI Access Security does not describe tool-call decisions on the pages we read and Bay decides on a tool call before it runs. We do not score either; the right choice depends on the AI tools people use, your devices, your current stack and whether you block or guide.
By The Device Desk · Endpoint AI Finder · Published 2026-10-11
Desk research from public vendor pages read on 27 September and 11 October 2026. Profiles follow our published method; we did not run the products.
Vendor pages read September and October 2026 · updated 2026-10-13
Where do their controls sit?
- Filled or hatched marker: AI Access Security
- Dashed teal ring: Bay, described
- DEV Filled marker: described on the product pages we read
- DEV Hatched marker: partly described (another component, a narrower scope, or method not detailed)
- DEV Dashed marker: not in our sources (it may exist; we did not find it)
What are the facts, side by side?
| Fact | AI Access Security | Bay |
|---|---|---|
| Owner | None | None |
| Positioning | Palo Alto Networks' control for employee use of GenAI apps, linked from its Prisma Access and SASE pages: visibility into shadow AI across 4,000+ GenAI applications, control over their use, and protection against sensitive data loss and malicious responses. | An endpoint-first control layer for AI agents, coding assistants and MCP servers on employee devices. Bay describes itself as a fully preventive, agentless platform that classifies, governs and prevents risks across every AI agent and tool on enterprise endpoints. |
| How it reaches devices | Part of Palo Alto Networks' SASE offering, linked from Prisma Access; the page does not describe an endpoint component. Source: Palo Alto Networks: AI Access Security · Read 11 Oct 2026 | Deploys through your existing EDR or MDM, with no new agents and no new tools; Bay says it scans in minutes and exits cleanly. Source: Bay homepage · Read 27 Sep 2026 |
| On-device controlDiffers | Not in our sourcesNot described on the pages we read. | DescribedInventories AI agents, MCP servers, tools, credentials and extensions on the device, and its Enforcer returns Allow, Ask or Deny locally on prompts, pre-tool calls and post-tool responses on supported agent surfaces. Delivered as Wave, an ephemeral binary that runs through your existing MDM or EDR. Policies can be scoped by agent, group, endpoint or device. Source: Bay blog: Ghostjacking (re-read) · Read 11 Oct 2026 |
| Browser extension | Not in our sourcesNot described on the pages we read. | Not in our sourcesNo browser extension is described. Bay's Application Control can allow or block browsers and extensions as applications, which is a device rule, not a control on what goes into browser AI. Source: Bay blog: Ghostjacking (re-read) · Read 11 Oct 2026 |
| Network or SSE proxyDiffers | DescribedVisibility into shadow AI across 4,000+ GenAI applications, control, and protection against sensitive data loss, delivered with Palo Alto Networks' SASE. Source: Palo Alto Networks: AI Access Security · Read 11 Oct 2026 | Not in our sourcesNot described on the pages we read. |
| AI or MCP gateway | Not in our sourcesNot described on the pages we read. | Not in our sourcesNot described on the pages we read. |
| Names the coding agents it coversDiffers | Not in our sources | MatchesManaged settings for Claude Code, Codex and Claude Desktop lock permission rules, preserve managed hooks, restrict MCP servers and constrain plugin sources. Source: Bay blog: Ghostjacking, an AI agent attack (August 2026) · Read 27 Sep 2026 |
| Decides on a tool call before it runsDiffers | Not in our sources | MatchesEvaluates prompts, pre-tool calls and post-tool responses and returns Allow, Ask or Deny locally, which Bay states takes under 4ms with no cloud round-trip, on supported agent surfaces. Source: Bay blog: Ghostjacking (re-read) · Read 11 Oct 2026 |
| Controls what goes into browser AIDiffers | PartlyPrevents sensitive data loss in GenAI apps; prompt-level controls are not detailed on the page. Source: Palo Alto Networks: AI Access Security · Read 11 Oct 2026 | Not in our sources |
| Rolls out through EDR or device management you runDiffers | Not in our sources | MatchesDeploys through your existing EDR or MDM; no new agents. Source: Bay homepage · Read 27 Sep 2026 |
| Can warn or ask instead of only blockingDiffers | Not in our sources | MatchesAsk is one of three answers, with Allow and Deny. Source: Bay homepage · Read 27 Sep 2026 |
| Can block an agent, tool or actionDiffers | PartlyControl over GenAI app use is listed; the actions available are not detailed. Source: Palo Alto Networks: AI Access Security · Read 11 Oct 2026 | MatchesDeny stops an action. Rules cover MCP servers (an allow or block list, and per-tool rules for read, create, update, delete and execute), applications, CLIs, browsers, IDEs and extensions, credentials and files, network egress allow lists, and capability rules such as shell execution, package installation and cloud CLIs. Source: Bay blog: Ghostjacking (re-read) · Read 11 Oct 2026 |
| Has a watch-only or simulation modeDiffers | Not in our sources | MatchesSimulation Mode runs a rule without enforcing it. Source: Bay blog: Ghostjacking, an AI agent attack (August 2026) · Read 27 Sep 2026 |
| Records who or what took each actionDiffers | Not in our sources | MatchesRecords who triggered an action, whether a human was involved, and the chain from prompt to system action. Source: Bay homepage · Read 27 Sep 2026 |
| Also covers SaaS, cloud or homegrown AI | Not in our sources | Not in our sources |
| Has a public price or tiers (vendor site or marketplace) | Not in our sources | Not in our sources |
| Built into | None | None |
| Works with | Part of Palo Alto Networks' SASE offering, linked from Prisma Access. Source: Palo Alto Networks: AI Access Security · Read 11 Oct 2026 | None in our sources |
| Price | Not published. Source: Palo Alto Networks: AI Access Security · Read 11 Oct 2026 | Not published. Bay's site has a demo request and no pricing page (re-checked 11 October 2026). Source: Bay homepage (re-read) · Read 11 Oct 2026 |
Where do they differ?
- On-device control: AI Access Security is not in our sources; Bay describes it.
- Network or SSE proxy: AI Access Security describes it; Bay is not in our sources.
- Names the coding agents it covers: AI Access Security is not in our sources; Bay matches.
- Decides on a tool call before it runs: AI Access Security is not in our sources; Bay matches.
- Controls what goes into browser AI: AI Access Security partly matches; Bay is not in our sources.
- Rolls out through EDR or device management you run: AI Access Security is not in our sources; Bay matches.
- Can warn or ask instead of only blocking: AI Access Security is not in our sources; Bay matches.
- Can block an agent, tool or action: AI Access Security partly matches; Bay matches.
- Has a watch-only or simulation mode: AI Access Security is not in our sources; Bay matches.
- Records who or what took each action: AI Access Security is not in our sources; Bay matches.
Choose AI Access Security if
- You already run Palo Alto Networks Prisma Access and want GenAI app controls in the same place
- Your main concern is employees using many GenAI web apps rather than agents on laptops
Choose Bay if
- Your developers run coding agents with many MCP servers and you want a decision on each action before it runs
- You want to add AI agent control through the EDR or MDM you already run instead of rolling out another agent
Which limits should you check?
AI Access Security
- Coding agents, MCP servers and local agent actions are not described on the page we read.
- The specific controls and actions are not detailed, and no pricing is published.
Bay
- Endpoint only: no browser extension, network proxy or AI gateway is described, and nothing on SaaS or cloud-hosted AI apps.
- One of the smallest public footprints here: a single homepage, two blog posts, no documentation portal and no published pricing (re-checked 11 October 2026).
- Headline figures such as under 5 minutes to deploy, under 1% false positives and 100% of shadow AI discovered are Bay's own statements and have not been verified.