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02/08/2026 12:02 pm
TL;DR: Threat hunting is the proactive search for cyber threats that evade automated defenses, and the article argues it is increasingly necessary as identity-based attacks and living-off-the-land techniques bypass SIEM, EDR, and network monitoring, according to Dropzone AI. Proactive hunting now matters because dwell time still gives attackers room to move, persist, and exfiltrate before detection becomes routine.
NHIMG editorial — based on content published by Dropzone AI: What is Threat Hunting? A Beginner's Guide for 2026
By the numbers:
- Median dwell time (how long threats remain undetected) reached 11 days in 2024.
- The global average cost of a data breach is $4.44 million.
- AI and automation shorten breach lifecycle by 80 days.
Questions worth separating out
Q: How should security teams implement threat hunting across identity, endpoint, and cloud data?
A: Build hunts around an attack hypothesis, then require the platform to correlate identity, endpoint, and cloud telemetry in one pass.
Q: Why do valid credentials make threat hunting harder for IAM teams?
A: Because successful authentication can look legitimate even when the session is malicious.
Q: What breaks when organisations rely only on automated detection for advanced attacks?
A: They miss low-noise intrusions that use legitimate tools and credentials.
Practitioner guidance
- Hunt for cross-subnet authentication anomalies Query authentication logs for accounts that initiate unusual remote sessions across subnets, especially where the account normally operates in a narrow administrative scope.
- Build hunt hypotheses around trusted administrative tooling Create recurring hunts for PowerShell, RDP, PsExec, and similar tools when they appear outside baseline admin hours, from unusual hosts, or under unexpected accounts.
- Extend identity log retention for reconstruction Retain authentication, privileged access, and endpoint traces long enough to reconstruct activity across multiple days, not just a single alert window.
What's in the full article
Dropzone AI's full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step examples of threat-hunting hypotheses and how to test them in live security data
- Practical comparison of SIEM, EDR, and network telemetry roles in a hunting workflow
- Expanded walkthrough of AI-augmented alert investigation and where human analysts still make the key decisions
- Question-and-answer guidance for teams starting with IOC hunts and moving toward hypothesis-driven hunting
👉 Read Dropzone AI's guide to threat hunting for 2026 →
Threat hunting and identity-based attacks: are your controls keeping up?
Explore further
02/08/2026 1:08 pm
Threat hunting is increasingly an identity investigation problem, not just a SOC workflow. The article correctly centres on anomalies in authentication, privilege use, and lateral movement because those are the signals most likely to reveal stealthy compromise. When access looks legitimate, the value of hunting shifts from malware identification to contextual identity analysis. For IAM and PAM teams, the practical conclusion is that hunt-ready telemetry is now part of access governance.
A question worth separating out:
Q: Who should own threat hunting findings in an IAM and SOC programme?
A: The SOC should own the hunt process, but IAM and PAM teams should own the identity findings that come out of it. If a hunt exposes over-privileged accounts, stale credentials, or abnormal access paths, those results should feed access reviews, privilege cleanup, and detection rule updates rather than stay inside one team.
👉 Read our full editorial: Threat hunting is now essential for identity-based attacks
