Agentic Endpoint Security
Bay is the single control plane for all agentic activity on your endpoints. It discovers every agent, MCP server, extension, and skill, scans each component for risk, and enforces context-aware guardrails that adapt to how your teams work. From prompts and responses to tool calls and system actions, harmful actions sto...
- Category
- Cloud Governance
- Registry category
- Cybersecurity & ITIT Operations & Infrastructure
- Vendor
- Bay
- Location
- Not disclosed
- Reviews
- Not rated (0 reviews on the listing)
- Listed on
- AWS Marketplace
- Pricing
- 3 plans listed
Each fact carries one Provenance score: the average of its Disclosure and Evidence scores, the same rule the page uses for the overall score. Click any score to see the math behind it.
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What the publisher says
Bay is the single control plane for all agentic activity on the endpoint. AI agents now act, decide, and adapt on their own across enterprise devices, and security teams cannot see which agents are running, what they can reach, or how to stop a harmful action before it completes. Traditional endpoint tools watch OS-level events; they cannot see agent-level decisions, local MCP servers, or the prompt-to-action chain behind them.
Bay closes that gap with an agentless platform that deploys through your existing MDM or EDR in under 5 minutes across Windows, macOS, and Linux, with no persistent agent, proxy, or kernel driver.
Built on AWS, the platform:
Show the rest of the publisher’s description (7 more lines)
- Discovers every AI agent, MCP server, browser and IDE extension, package, and skill across the fleet, surfacing shadow AI on 100% of deployments and mapping every user, permission, and credential into a contextual entity graph with 200+ built-in detection rules, risk-scored findings, and guided remediation.
- Scans every component for malicious indicators, typosquats, CVEs, and risky permissions, with centralized approve and block controls across the agentic supply chain.
- Monitors every agent action in real time with full context, human versus autonomous, the complete prompt-to-action chain, and timestamps, closing the audit gap for SOC 2, ISO 27001, and SOX.
- Builds tailored, session-aware policies with Lighthouse, Bay's AI policy-building agent, which learns each team's workflows and risk appetite so enforcement fits from day one, with no baselining period, and adjusts automatically as people change teams. Pre-built templates and IdP-mapped group policies included.
- Enforces in real time on the endpoint: Bay evaluates the full session, not one action at a time, and returns Allow, Ask, or Deny on every agentic tool call locally, in under 4ms, without SIEM lag.
- Connects to your stack through Bay's MCP/API interface: query findings, manage policies, and pull Bay data into your own AI agents, copilots, and workflows.
By combining discovery, posture management, supply chain control, and real-time enforcement, Bay takes security teams from no visibility into agentic activity to full governance and prevention, with dedicated onboarding and customer success support from day one. The result: your organization gets to say yes to AI agents and scale AI adoption without scaling risk.
Plans and pricing
3 plans listed
Linked repositories
Unknown
Unknown means this listing does not publish a repository. It is not a statement that the code is closed.
Sources
- Marketplace listingAWS Marketplace (opens in a new tab)
- Legal linkStandardEula (opens in a new tab)
Reading the score
Disclosure · how many sources corroborate it
Evidence · what kind of evidence backs it
The SettleTop steps above are possible but not automated yet, so today they sit open and a perfect 10 is out of reach. Open information like firmographics and reach has fewer steps to climb, so it sits a little higher for the same visible evidence.
Information shown here reflects the best available information at the time of assessment and may be incomplete, outdated, or subject to change. It should be independently verified before being relied upon for any decision. SettleTop is not liable for any errors, omissions, or decisions made in reliance on this information.
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