Threat hunting is now essential for identity-based attacks

At a glance

What this is: Dropzone AI frames threat hunting as the proactive search for hidden attacks that automated controls miss, with identity-based abuse and living-off-the-land tradecraft at the center of the problem.

Why it matters: Identity and IAM teams need this because legitimate credentials can make malicious activity blend into normal operations, leaving automated detection too much room to fail.

Context

Threat hunting is the deliberate search for malicious activity that has already slipped past automated controls. The governance gap is not that alerts exist, but that attackers increasingly operate in the space between alertable events, especially when they use valid credentials, standard admin tools, and routine-looking access paths.

In identity-heavy environments, that gap becomes harder to close because the same authentication, privilege, and lateral movement patterns used by administrators can also be used by attackers. When detection depends too heavily on signatures or threshold-based rules, identity-based attacks can remain invisible long enough to reach sensitive systems.

Key questions

Q: What breaks when identity-based attacks are handled only by automated detection?

A: Automated detection tends to fail when attackers use valid credentials, approved admin tools, and low-noise behavior that fits normal baselines. The result is delayed discovery, which gives the intruder more time to move laterally, collect data, and establish persistence before defenders realise the environment has been compromised.

Q: Why do legitimate credentials make threat detection less reliable?

A: Because detection tools are strongest when activity matches known bad behaviour. When attackers use valid credentials or trusted tools, the activity can look operationally normal. That is why identity governance, privilege controls, and hunting for behavioural anomalies matter when the compromise path does not resemble malware.

Q: How do security teams know whether threat hunting is actually working?

A: Threat hunting is working when teams can move from first suspicious connection to confirmed containment without long manual pivots. Useful signals include time to isolate, number of tools touched per investigation, and whether analysts can trace the full path from entry to impacted workload. If those metrics stay high, visibility is still fragmented.

Q: What should teams do after they find a hidden intrusion through hunting?

A: They should contain the affected accounts and systems, preserve the behavioral evidence that revealed the intrusion, and feed the findings back into detection engineering. The value of hunting rises when confirmed patterns are converted into new analytics that reduce repeat exposure.

Technical breakdown

Why identity-based attacks bypass automated detection

Identity-based attacks abuse legitimate authentication paths rather than obviously malicious code. When an attacker uses compromised credentials, a stolen session, or approved remote administration tools, SIEM and EDR may see ordinary activity instead of an intrusion. This is especially difficult in hybrid environments where authentication events, endpoint telemetry, and network logs are fragmented. Threat hunting closes that gap by correlating weak signals across logs, baselines, and timing patterns that do not look suspicious in isolation.

Practical implication: Correlate authentication, endpoint, and network data around unusual account behavior instead of waiting for a single alert to fire.

How living-off-the-land changes the detection model

Living-off-the-land means using built-in tools such as PowerShell, RDP, or native admin utilities to blend in with normal operations. Because these tools are legitimate, rule-based detection often has to rely on context, such as unusual sequencing, abnormal cross-subnet access, or process behavior that does not match the account's normal role. Hunting becomes a way to detect intent rather than relying only on tool reputation.

Practical implication: Baseline normal administrative behavior so you can spot legitimate tools being used in abnormal ways.

Why dwell time is the strategic metric for hunting

Dwell time measures how long an adversary stays undetected, and it is the clearest indicator of whether the security programme can see beyond automated alerts. The longer a threat remains hidden, the more opportunity it has to move laterally, collect data, and establish persistence. Hunting is therefore not a separate niche activity; it is a control that reduces the time adversaries have to operate before containment begins.

Practical implication: Use dwell time, internal discovery rate, and post-hunt detection improvements as programme metrics, not just alert volume.

Threat narrative

Attacker objective: The attacker aims to remain inside the environment long enough to expand access and steal or manipulate data before defenders notice.

1. Entry occurs when the attacker obtains compromised credentials that appear legitimate to automated tools.
2. Escalation happens as the attacker uses standard administrative tools and credentialed access to move laterally without triggering obvious signatures.
3. Impact follows when the intruder reaches critical systems before detection, increasing the chance of persistence and data exfiltration.

Breaches seen in the wild

• Gainsight Salesforce breach 2025: Stolen OAuth tokens for Gainsight's Salesforce app, some eight years old, were used against customer orgs; Google saw 200+ instances at risk.
• Sisense breach 2024: A credential in Sisense's GitLab reportedly opened S3 buckets of customer tokens, passwords and certificates; CISA urged a full reset.

Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Identity-based attack paths are now a governance problem, not just a detection problem. When valid credentials and approved tools are the attacker's entry mechanism, traditional alerting can mistake hostile activity for normal administration. That means identity telemetry, privilege context, and behavior analysis have to be treated as part of the control surface. Practitioners should assume that clean authentication does not equal trusted activity.

Threat hunting is the control that exposes what signatures cannot. Signature-based security is good at known bad, but it is weaker against patient adversaries using low-and-slow tactics and living-off-the-land tradecraft. Hunting adds the human and analytical layer needed to find drift, timing anomalies, and improbable access patterns before they become incidents. The practical conclusion is that hunting is a resilience function, not an optional SOC extra.

Blast-radius reduction is the real objective when identity is compromised. Once credentials are abused, the remaining question is how far an attacker can move before being interrupted. That shifts priority toward privilege boundaries, cross-system correlation, and rapid validation of unusual admin activity. Teams that measure only alert counts will miss the more important question: how much access did the attacker gain before anyone noticed?

There is now a detection-gap economy around legitimate access. The more an environment trusts routine admin behavior, the more room adversaries have to hide inside that trust. This makes identity-centric monitoring, particularly around service accounts and privileged users, essential to the broader security programme. Organisations that do not hunt actively will continue to discover attacks only after the attacker has already used the access.

What this signals

Threat hunting is becoming a necessary compensating control for identity telemetry gaps. In practice, that means security teams need to stop treating identity logs as passive evidence and start using them as active hunt material. The most important shift is from alert consumption to pattern discovery across privilege, authentication, and remote administration.

Identity contexts change what counts as suspicious. A remote management action may be legitimate for one account and hostile for another, so hunts must include role, asset, and timing context. That is where the programme matures from rule chasing to judgement about access that looks authorised but behaves like an intrusion.

For practitioners

• Hunt for identity anomalies in authentication logs Focus hunts on unusual login timing, impossible travel, unfamiliar device patterns, and cross-subnet activity from privileged accounts and service identities.
• Correlate endpoint and identity telemetry Join EDR, SIEM, and IAM data so that a benign-looking process on one system can be evaluated alongside account behavior across the environment.
• Baseline legitimate admin tool use Document normal PowerShell, RDP, remote management, and script execution behavior for each high-value account class before hunting for deviations.
• Measure dwell time as a core SOC metric Track how long threats persist before internal discovery, then use that metric to judge whether hunting is reducing attacker opportunity.
• Run scheduled hypothesis-driven hunts Convert threat intelligence and observed anomalies into recurring hunt hypotheses so the team searches for likely attack paths, not just known indicators.

Key takeaways

• Identity-based attacks can evade automated controls because they often use valid credentials and normal administrative tools.
• Threat hunting matters because dwell time is the window attackers use to move laterally and reach critical systems.
• The most useful hunting outputs are shorter detection times, stronger identity-context correlations, and better alert logic.

Key terms

• Threat Hunting: Threat hunting is the proactive search for signs of compromise that bypassed normal detection controls. It combines logs, telemetry, and investigator judgement to find hidden attacker behaviour before it becomes a larger incident or disrupts recovery.
• Living-off-the-Land: Living-off-the-land attacks use legitimate enterprise tools instead of custom malware. In identity environments, that means abusing approved administrative functions to perform disruptive actions while blending into normal operational traffic.
• Dwell Time: Dwell time is the period between an attacker gaining access and defenders detecting or removing them. Shortening dwell time matters because most damage happens while the attacker remains unnoticed. In identity-led environments, reducing dwell time depends on visibility into access paths, privileges, and session behaviour.
• Identity-based threat: An identity-based threat is an attack that abuses legitimate credentials, sessions, or account permissions rather than breaking into the network first. It succeeds by looking like normal access while the attacker steals data, moves laterally, or escalates privilege.

Deepen your knowledge

NHI Mgmt Group covers identity security, NHI governance, and agentic AI through independent research, practitioner guides, and the NHI Foundation Level course. It is suitable for practitioners building governance around machine identities, privileged access, and lifecycle control.