Resource library
Guides and playbooks
Practical guidance for running an autonomous security operation with Athena. Each playbook is built from how the platform works in practice: what to automate first, how to keep people in control, and how to prove the result to the leaders who fund it.
From alert triage to autonomous response
Most teams still put people at the front of the queue, reading alerts and deciding what to do. Athena inverts that. The Aegis detection and response engine works the queue continuously, proposes an action for each case, and can carry it out once you allow it. The move to autonomy is a dial, not a switch.
Phase it in by confidence. Begin with Athena proposing and a person approving. As a given playbook proves itself, let it act on its own inside clear limits, with a person on the loop to review. You keep the judgment calls and hand off the repetitive work.
How to run it
- Pick one high volume, low ambiguity case type to start, for example a known phishing pattern or a contained malware alert.
- Run it in propose and approve mode until the recommended action is right often enough to trust.
- Raise the autonomy for that playbook so it acts within a defined boundary, with a person on the loop.
- Review the decisions each week, widen the scope, then repeat with the next case type.
Turn threat intelligence into action
A feed of indicators is not intelligence until it changes what the operation does. Athena enriches every indicator with exploit prediction and known exploited context, then drives the result straight into detection and response.
Prioritize by what attackers will actually use. Exploit prediction scores the chance that a vulnerability gets used, and the known exploited list shows what is already being used in the wild. Together they cut a long vulnerability list down to the few that warrant action this week.
How to run it
- Connect your vulnerability and asset sources so Athena can see what you run and where.
- Let the Threat Intelligence foundation enrich each finding with exploit prediction and known exploited status.
- Route the high likelihood, in the wild items into response first, ahead of raw severity.
- Track how much noise this removes, and report the reduction to your stakeholders.
Set your autonomy guardrails
Speed without control is a liability. The point of autonomous response is not to remove people, it is to let them govern the operation instead of hand cranking it. Guardrails are what make that safe.
Bound every automated action by blast radius and reversibility. An action that is easy to undo and affects one host can run on its own. An action that is hard to reverse or touches many systems should pause for a person. Write those limits down, and let Athena enforce them.
How to run it
- Classify actions by how reversible they are and how much they affect.
- Allow low blast radius, reversible actions to run autonomously within named limits.
- Require human approval for anything wide reaching or hard to undo.
- Log every decision so you can audit what ran, why, and on whose authority.
Report the outcomes the board funds
Leaders do not fund tools, they fund results. Athena maps the work of the operation to the seven outcomes security leaders pay for, so you can show progress in terms the board already cares about.
Anchor your reporting on a few honest measures: how fast you contain, how much of the estate you cover, and how much risk you have taken off the table. Tie each one back to the functions and Defenders that moved it, and the story tells itself.
How to run it
- Choose the outcomes that matter most to your leadership this year.
- Map your live measures, time to contain, coverage, and risk reduction, to those outcomes.
- Show the trend over time, not a single number, so progress is visible.
- Bring the same view to every board update, so the narrative stays consistent.
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