Security and compliance

AI agent security and visibility for endpoints

Paddock · See, approve and audit what AI agents do on your company's laptops

WatchingDraft scoreNew market · since 2025 · AI estimate

59PWAS score

Confidence

Based on 8 of 9 factors

Overview

AIThis description was written by a model from public signals. The facts behind it are listed under Evidence.

Problem: Organizations lack visibility into AI agent activity on endpoints and cannot prevent unauthorized or harmful agent actions, creating security and compliance risks as AI agents become more autonomous and widespread.
Solution concept: A product that provides real-time visibility into AI agent activity on endpoints with on-device detection capabilities, optional pre-action blocking to prevent harmful agent operations, and forensic reconstruction to audit what agents have done. This would be purpose-built for AI agent behavior rather than adapted from traditional malware or insider-threat tools.
Who has it: Security teams and IT operations in organizations deploying or exposed to autonomous AI agents on endpoints.
How they handle it today: Today, organizations either have no visibility into agent activity on endpoints, or rely on generic endpoint detection and response (EDR) tools that are not designed for the specific behaviors and patterns of AI agents.
Why now: AI agents are rapidly entering enterprise environments and becoming more autonomous and capable of taking actions on systems. The lack of purpose-built security tooling for this new threat surface creates an urgent need as organizations seek to maintain control and compliance.
How it could charge: Per-endpoint licensing, subscription based on number of protected endpoints, or tiered pricing based on detection capabilities and blocking features.

Verdict

Computed from the factor scores below, never written by a model. It decides nothing on its own: only the gate makes an opportunity a build candidate.

Score breakdown

A model sorted each factor into a rubric bucket; code turned buckets into numbers. Unknown factors are left out of the score and lower confidence instead.

Market validation

Confidence 95 · 2 evidence · An active open-source competitor (Numbat) with strong adoption signals (1106 stars in 79 days) demonstrates clear demand for AI agent security tooling.

Revenue evidence

Unknown

No evidence indicates whether any organization pays for AI agent security visibility tools, though the problem suggests enterprise willingness to pay.

Growth

Confidence 95 · 1 evidence · Numbat's 1106 stars in 79 days (approximately 14 stars per day) represents breakout growth for an open-source security tool, signaling rapid momentum in the category.

Problem severity

Confidence 30 · Judged from the description · The problem blocks secure operations and creates direct compliance risk as AI agents become autonomous and widespread in organizations.

Economic proximity

Confidence 30 · Judged from the description · Security and compliance control tools sit at the core of IT operations budgets and directly prevent revenue loss and legal liability.

Distribution

Confidence 30 · Judged from the description · Endpoint security tools generate reports and audit logs seen by security and compliance teams outside the IT ops group, but usage is primarily internal to organizations.

Buildability

Confidence 30 · Judged from the description · Building credible on-device detection and forensic reconstruction for AI agent behavior requires deep expertise in both AI system internals and kernel-level process monitoring, making this complex but not requiring novel research.

Differentiation

Confidence 70 · 1 evidence · Traditional EDR tools are not designed for AI agent-specific behaviors, and the open-source competitor indicates incumbents have not yet built specialized solutions, creating a clear gap.

Retention and timing

Confidence 30 · Judged from the description · Endpoint security is a daily embedded workflow, and AI agent proliferation creates a clear and urgent timing tailwind for deployment decisions.

Risk penalties

Heavy regulationSecurity and compliance tools may trigger regulatory scrutiny depending on monitoring depth and data handling, particularly for sensitive agent operations.−9

Score history

59 · confidence 45 · config v1First score · 11 Oct 2026

AI agent security and visibility for endpoints

Overview

Verdict

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Score breakdown

Risk penalties

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Validation gate

Evidence · 3 items

Market validation

Growth

Differentiation

Market

Existing products

Build

Legal reconstruction check

Community