Who Controls the Pace
You or the Attacker?

Pen tests are point-in-time. The environment changes weekly; the test is stale before it’s read. Preempt runs on a cadence you define, to uncover attack paths that an attacker would take, using hundreds of recon, vulnerability, exploit, and agentic hacking tools across the full kill chain. New exploitable paths are surfaced as they emerge, not when next year’s pen tester shows up.

Every Preempt action is governed by Controlled Autonomy SecOps. That means four engineered controls required for agentic AI in security: every action is explainable (human-readable rationale), reversible (no architecturally irreversible action), shadow-approved (high-consequence actions staged for human review), and policy-bounded (you define what Preempt can probe, when, and how aggressively).

Findings don’t sit in a PDF. They live on the same Atlas platform your defensive team operates in, and they flow into ServiceNow or Jira with attack-path context, and specific remediation steps. After patching, Preempt allows you to re-validate to confirm the fix held. The loop closes. No spreadsheet handoff, no untracked remediation.

Preempt is the offensive half of a closed security lifecycle. It runs on the same Atlas platform, alongside Detection and Response (MDR). Every validated exposure sharpens detection content. Every detection improves prevention. Every cycle adapts. That’s why Preempt isn’t a standalone audit; it’s half of the system that makes the other half measurably better.

Three structural differences:

1. Offensive findings feed directly into the same MDR workflow your defensive team operates.
2. Preempt runs under trust conditions: explainable, reversible, policy-bounded, all backed by 25 years of eSentire SOC operational data.
3. It’s vendor-independent across the stack you already own with multi-scanner correlation, no rip-and-replace. Offensive point vendors are siloed, episodic, and end at the report.

Platform vendor exposure tools are limited by their own telemetry. Every excluded tool becomes an unmonitored blind spot, and the AI is trained on their data; it improves when you buy more of their stack. Preempt is vendor-independent and returns enriched context back to the tools you already run.