
Meanwhile, CrowdStrike's 2026 Global Threat Report found that 82% of detections in 2025 were malware-free. Signature-based controls have little to catch there.
Advanced managed threat hunting is an expert-led service that continuously searches your telemetry for suspicious behavior, then validates and acts on what it finds. This article covers the process, threat coverage, and how to evaluate providers.
Key Takeaways
- Hunting pairs human investigation with automation, threat intelligence, and broad telemetry.
- The cycle runs: scope, hypothesize, investigate, validate, respond, improve detections.
- Judge providers on visibility, integrations, analyst skill, response authority, and outcomes.
- Good services work with your existing EDR, SIEM, cloud, and OT tools.
What Is Advanced Managed Threat Hunting?
A proactive, hypothesis-driven search
Threat hunting is the active search for adversaries who bypassed preventive controls or never triggered a reliable alert. MITRE describes it as work by skilled experts using hypotheses, reasoning, and forensics, going beyond routine SOC practice.
"Managed" means an external team supplies the analysts, processes, threat intelligence, and agreed escalation or response support. You keep governance and decision authority.
What makes it "advanced"
- Behavioral analysis and attacker TTPs instead of signature matching
- Scrutiny of identity and privilege activity
- Cloud and SaaS telemetry coverage
- Detection of legitimate tools abused by attackers
Automation processes the telemetry volume and ranks leads. Experienced analysts supply context, reasoning, and validation.
How it differs from adjacent capabilities
| Capability | What it does | How hunting differs |
|---|---|---|
| EDR/XDR | Supplies endpoint or cross-product telemetry and detection | Hunters use it to ask whether an adversary is present |
| SIEM | Collects and correlates security data | A technology, not a staffed investigation |
| Vulnerability scanning | Finds exposures and misconfigurations | Hunting looks for attacker activity, not weaknesses |
| SOC monitoring | Triages alerts and incidents | Hunting works outside the alert queue |
Hunting also relates to MDR. It can run as a standalone capability or as a proactive layer inside MDR, which may add alert monitoring, containment, and remediation coordination. Gartner distinguishes known-technique hunting included in MDR from customer-requested, hypothesis-driven hunting, so confirm which one a contract covers.
How Does Advanced Managed Threat Hunting Work?
Establish scope and normal behavior
Hunters start by identifying critical systems, identities, applications, cloud workloads, network segments, OT assets, and the business processes they support. Then they build baselines and check data quality:
- Are logs complete and time-synchronized?
- Is retention long enough? CISA's MSP advisory recommends keeping important logs at least six months.
- Can analysts search across the most likely attack paths?
Build and prioritize hypotheses
A hypothesis is a specific question rather than a generic alert rule. For example: "Could an attacker be using a compromised service account to move laterally between our file servers?"
Inputs typically include:
- Current threat intelligence and sector risks
- New vulnerabilities and internal incidents
- Technology changes
- MITRE ATT&CK techniques
Collect, normalize, and enrich telemetry
Typical sources include:
- Endpoint process activity
- Identity and authentication events
- DNS and network traffic
- Email, cloud control-plane, and SaaS logs
- OT or mobile data
Enrichment with asset criticality, user context, and adversary TTPs helps separate attacker behavior from routine administration.
Choose the right hunting approach
- Structured: hypothesis-driven, tied to a TTP
- Unstructured: anomaly-led, starting from analytics
- Intelligence-led: triggered by campaign reporting
- Situational: tied to a merger, major deployment, or newly disclosed vulnerability
Investigate and validate
Analysts pivot across users, hosts, processes, connections, timestamps, and cloud resources to see whether scattered events form one attack sequence. Forensic review, memory or disk evidence, and false-positive checks come before any escalation.
Respond and strengthen defenses
Response options include:
- Credential resets
- Isolating an endpoint or segment
- Terminating processes
- Blocking indicators
- Escalating to incident response
Every confirmed hunt should produce an evidence-based report, new detections, updated playbooks, and a follow-up validation hunt. SANS makes a related point: even a hunt that finds nothing should leave behind detections, playbooks, or better telemetry.

Which Threats and Environments Can Advanced Hunting Address?
Evasive, high-impact behavior
Hunting targets advanced persistent threats, living-off-the-land techniques, fileless activity, credential abuse, privilege escalation, lateral movement, insider misuse, ransomware staging, exfiltration, and supply-chain compromise. Real cases show why:
- Volt Typhoon: US agencies observed access lasting at least five years in some victim environments.
- Snatch ransomware: actors spent up to three months in victim networks before encrypting.
- 3CX: a tampered installer from an earlier supply-chain compromise started the intrusion.
Behavioral hunting can surface suspicious activity when signatures and known indicators don't exist. It cannot promise to catch every zero-day or stop every incident.
In a DeepSeas client red-team exercise, custom detection logic identified and blocked multiple credential-dumping techniques, including ProcDump and rundll32/comsvcs.dll LSASS dumping.
Visibility across modern environments
Advanced hunting correlates endpoint, identity, network, cloud, SaaS, mobile, BYOD, and OT data. Limiting hunts to corporate endpoints leaves gaps, especially at contractor devices, legacy systems, and acquired business units.
OT and clinical environments need governed response. Isolating a system can affect safety, patient care, or a running production line, so agree on approvals before an incident.

Match priorities to organizational risk
Verizon's 2026 DBIR is global, so read sector figures as directional:
- Healthcare: third parties accounted for 32% of breaches.
- Education: social attacks appeared in 22% of Educational Services breaches.
- Government: internal actors made up 44% of Public Administration breaches.
- Manufacturing: three patterns (system intrusion, social engineering, basic web attacks) covered 91% of breaches.
- Financial services: key patterns include ransomware, phishing, vulnerability exploitation, and stolen credentials.
- Technology companies: frequent issues include SSO compromise and SaaS data theft.
Let data sensitivity, compliance obligations, downtime tolerance, cyber-insurance requirements, and recent business changes set hunt priorities. HIPAA, for instance, requires regulated entities to review system activity, though it doesn't mandate managed hunting.
How Should You Evaluate and Operationalize a Managed Threat-Hunting Service?
Assess people and operating model
Look at analyst experience, threat-research depth, 24/7 coverage, escalation procedures, and incident-response coordination. Providers should also explain findings to engineers and executives alike.
Ask them to demonstrate:
- How they form hypotheses
- How they validate threats and document evidence
- How they handle uncertainty
- How they separate completed investigations from unreviewed alerts
Confirm technology coverage
Check support for your SIEM, EDR, XDR, CNAPP, identity, cloud, network, email, mobile, and OT tools. A provider that can work with your stack avoids needless replacement.
Require clarity on:
- Data onboarding and retention
- Searchability and access permissions
- Connector dependencies
- Known visibility gaps
Clarify response ownership
Decide in writing who can isolate systems, disable accounts, block indicators, approve remediation, contact regulators, and engage counsel.
Document severity definitions, escalation channels, evidence handling, privacy terms, reporting cadence, and which disruptive actions need your approval. Gartner notes that provider response actions are typically preapproved by customers.
Measure outcomes, not alert volume
Track:
- Mean time to detect and respond (define the clock)
- Dwell-time reduction
- Confirmed-threat severity and false-positive trends
- ATT&CK and data-source coverage
- Remediation completion and repeat findings
Baseline these first, and read them alongside investigation quality and business impact. SANS's 2024 survey shows maturing programs: formal methodologies rose from 35% to 51%, and 37% of respondents used external hunting services.

Roll out in stages
- Identify crown-jewel assets.
- Assess telemetry and gaps.
- Prioritize threat scenarios.
- Onboard data sources.
- Run an initial hunt.
- Test escalation.
- Remediate gaps and schedule recurring reviews.
A concrete operating model shows how these stages work in practice. DeepSeas illustrates one approach: its CyberFusion SOC provides 24/7 monitoring, supports bring-your-own-stack operation of tools such as Splunk and Sentinel, and covers IT, cloud, OT, mobile, and BYOD environments, with scope set by each engagement.
Its MDR can isolate a host or lock an account through pre-approved playbooks and never auto-isolates a production line or medical device. Monitoring typically begins in about two weeks, depending on environment complexity.
Hunting findings should also feed wider improvement: strategic advisory, threat intelligence, offensive security, MDR, and governance, risk, and compliance work.
Conclusion
Advanced managed threat hunting is a continuous discipline that looks for attacker behavior before alerts offer certainty. It delivers the most when paired with complete telemetry, clear response authority, and follow-through on remediation.
Your next steps:
- Inventory critical assets and available telemetry
- List the threat scenarios most relevant to your organization
- Compare providers on investigative quality, integration, response governance, and measurable outcomes
Frequently Asked Questions
How does threat hunting work?
Hunters form a hypothesis, collect and enrich telemetry, investigate suspicious behavior, and validate findings. They then respond and turn results into better detections.
What are the types of threat hunting?
Structured hunting tests a specific hypothesis. Unstructured hunting starts from anomalies, intelligence-led hunting follows reported campaigns, and situational hunting responds to events like a merger or new vulnerability.
What type of defense is threat hunting?
It is primarily proactive and detective. It searches for threats already present or evading controls, and isn't a preventive control on its own.
What is threat intelligence?
NIST defines it as threat information analyzed or enriched to support decisions. Hunters use it to decide which actors, campaigns, and TTPs deserve investigation first.
What are the four types of threat intelligence?
Strategic informs executives on long-term risk. Tactical covers attacker TTPs, operational covers specific active threats, and technical covers artifacts such as malicious IPs and domains.
What are the best threat hunting platforms?
It depends on telemetry coverage, query power, integrations, retention, automation, and analyst workflow. A platform is technology; a managed service adds the expert hunters who use it.