본문으로 건너뛰기
cccskills
무료GitHub에 공개

edr-pro

Deploy and operate endpoint detection and response — policy tuning, behavioral detections, threat hunting, and response actions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md6.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Overview

EDR is the defender's eyes on the endpoint: it records process, file, registry, and network activity, detects malicious behavior, and enables remote response (isolate, kill, remediate). It is arguably the highest-value single security control for most organizations — and also one of the most misconfigured, oscillating between alert floods and silent monitor-mode deployments.

This skill covers the full EDR practice: deployment, policy design, detection tuning, threat hunting on EDR telemetry, and safe response operations.

Deploy for coverage first, then tune for precision: get the agent everywhere (including servers, not just laptops), confirm telemetry is flowing, and only then start shaping policies and detections. An EDR covering 60% of endpoints with perfect tuning protects less than one covering 98% with acceptable noise.

When to use

  • Rolling out EDR to endpoints and servers for the first time.
  • Tuning noisy policies or investigating EDR-caused performance issues.
  • Building behavioral detections for your threat model.
  • Running threat hunts across endpoint telemetry.
  • Defining response playbooks (isolate, contain, remediate) with approval gates.

Core concepts

  • Coverage is the metric that matters most. Unprotected endpoints are invisible endpoints. Track deployment % by asset class relentlessly — servers and OT-adjacent systems included.

  • Prevention vs detection modes. Modern EDR does both: block known-malicious behaviors automatically, detect-and-alert on suspicious ones. Progressively enable blocking on high-confidence behaviors; keep detection on the ambiguous.

  • Behavioral detections beat IOCs. Detect techniques (credential dumping, LSASS access, suspicious parent-child process chains) mapped to ATT&CK — they survive attacker infrastructure changes.

  • Policy layering. Baseline policies for all endpoints, stricter for servers and high-risk groups, monitor-only for fragile/legacy systems with compensating controls. One global policy fits nobody.

  • Telemetry retention. EDR telemetry is your best hunting and investigation dataset — retain as long as budget allows (90+ days ideal), and know exactly what you keep.

  • Response actions with gates. Network isolation, process kill, and file quarantine are powerful — define who may trigger them, require approval for broad actions, and log everything.

  • Tamper protection. Attackers kill EDR first. Enforce tamper protection, alert on agent uninstall/disable attempts, and monitor agent health as a security signal.

  • Performance partnership. EDR scans cost CPU/IO — work with IT on exclusions for legitimate heavy workloads (build servers, databases) via documented, reviewed exception processes, not ad-hoc disabling.

  • Threat hunting. Proactive hypothesis-driven searches across EDR telemetry ("show me all LSASS access outside expected processes") catch what automated detections miss.

  • Integration. EDR alerts feed the SIEM/SOC with process-tree context; EDR telemetry enriches firewall and identity investigations. An isolated EDR console is half the value.

  • Cloud workload coverage. Containers and serverless need their own sensor strategy — classic host agents do not cover ephemeral workloads. Plan EDR/CWPP coverage per workload type.

  • Offline and air-gapped endpoints. Devices off-network for weeks miss policy updates and detections. Define maximum offline tolerance and catch-up procedures.

Practical workflow

  1. Deploy for coverage: phased rollout (IT pilot → general population → servers → tricky segments), tracking install % daily. Resolve the long tail — the last 5% takes 50% of the effort and is often the riskiest.
  2. Verify telemetry: confirm events flowing per endpoint, check for blind spots (agent version skew, policy gaps, offline systems), and alert on agent health failures.
  3. Tune policies: start from vendor recommended baselines, adjust for your environment, document every exclusion with justification and review date. Re-tune quarterly.
  4. Build behavioral detections: map your top ATT&CK techniques to EDR detection rules; test against benign baselines; deploy with runbooks linked.
  5. Hunt regularly: weekly hypothesis-driven hunts using threat intel and red-team TTPs; convert hunt findings into permanent detections.
  6. Operate response: playbooks for isolate/kill/quarantine with approval gates; post-action verification (re-scan, monitor for re-infection); lessons fed back into detections and policy.

Quick wins

  • Enable tamper protection everywhere this week — it is the cheapest high-value control
  • Audit agent coverage by asset class; close the server gap first
  • Review and justify every policy exclusion older than 90 days

Sustaining the practice

  • Review policy exclusions quarterly — each needs re-justification or removal
  • Re-run coverage audits monthly; new systems must get agents at provisioning
  • Hunt cadence: at least weekly, tied to current threat intel
  • Test tamper-protection and agent-health alerting with simulated disable attempts

Metrics that prove it works

  • Agent coverage % by asset class (target: 98%+)
  • Mean time to detect and to contain on endpoint incidents
  • False-positive rate per policy/detection; analyst action rate
  • Threat-hunt findings converted to detections per quarter

Common pitfalls

  • Monitor-only forever. Detection without blocking on high-confidence behaviors leaves dwell time on the table. Progressively enable prevention.
  • Coverage theater. "Deployed" with 70% coverage and no plan for the rest. The uncovered 30% is where attackers live.
  • Exclusion sprawl. Every performance complaint becomes a permanent exclusion. Review exclusions quarterly with security+IT jointly.
  • Killing the agent to 'fix' performance. Disabling EDR for speed is a security incident, not a fix. Tune, exclude narrowly, or upgrade hardware.
  • No tamper protection. Attackers' first move is blinding the sensor. Enforce it and alert on tampering attempts.
  • Alert-only hunting. EDR telemetry unused for proactive hunting wastes its best capability. Schedule hunts like any other security operation.
  • Forgetting servers. Laptop-focused rollouts leave the crown-jewel servers unprotected. Servers get agents with server-tuned policies.
  • Response without verification. Isolating a host and calling it done misses persistence and lateral movement. Verify with re-scan and monitoring.
  • Treating EDR as antivirus replacement only. Its investigation and hunting value dwarfs the blocking value — train analysts on the telemetry, not just the alerts.
  • No offline-device strategy. Laptops off VPN for a month return with stale policies and missed detections. Enforce check-in requirements.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Master 1Password: vaults, Watchtower, passkeys, SSH agent, CLI, and family/team administration. Use when getting full value from 1Password personally or administering it for others.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Create 3D visuals with modeling, texturing, lighting, rendering, and optimization for web and product.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Create 3D web experiences: scene setup, models, materials, lighting, animation, scroll-driven scenes, and performance budgets. Use when adding 3D to websites beyond basic demos.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Writing abstracts that get papers read — structured content, the 5-sentence core, and journal-specific constraints.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Learn effectively from courses and academies: choosing programs, studying actively, and converting courses into skills. Use when investing time/money in structured learning.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

Audit designs for accessibility with WCAG checklists covering color, type, focus, motion, and content.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

aicodedecode/awesome-muse-skills252026년 10월 10일 업데이트

aicodedecode의 스킬 모두 보기

이 스킬의 문제 신고