Managed Threat Hunting
Assume breach. Proactively hunt for stealthy adversaries lurking undiscovered inside your network.
Book AssessmentActively Hunting for Stealthy Adversaries
Security sensors generate alerts when known bad things happen. But what about novel, highly sophisticated attacks that evade your signature-based tools? Atgardas Managed Threat Hunting operates on the 'Assume Breach' paradigm: we assume a sophisticated adversary has already bypassed your perimeter.
Our elite threat hunters do not wait for alarms to ring. We proactively scour your endpoints, network traffic, and cloud logs using hypothesis-driven analysis. We search for subtle indicators of lateral movement, living-off-the-land techniques (e.g., malicious PowerShell usage), and deep persistence mechanisms.
By actively pursuing the adversary, we significantly reduce the dwell time of Advanced Persistent Threats (APTs) before data exfiltration or ransomware deployment can occur.
Key Benefits & Deliverables
Reduced Attacker Dwell Time
Finding adversaries in days or weeks, rather than the industry average of months, preventing catastrophic data loss.
Living-off-the-Land Detection
Identifying attackers who use legitimate administrative tools (WMI, PSExec) to blend in with normal IT operations.
Hypothesis-Driven Approach
Hunting based on the latest geopolitical threat intelligence and specific adversary TTPs targeting your industry.
Engagement Process
Intelligence Baseline
Developing hypotheses based on MITRE ATT&CK techniques relevant to your specific industry and tech stack.
Data Sweeping
Aggregating historical EDR telemetry, firewall logs, and identity access records over 30-to-90 day periods.
Behavioral Analysis
Manual human analysis combining data science and attacker psychology to spot anomalies missed by AI.
Actionable Briefing
Reporting discovered persistence mechanisms along with defensive recommendations to close the undetected gap.
Frequently Asked Questions
Proactively searching networks to detect stealthy attacks that evade normal security alerts.
MDR reacts to alerts in real-time; Threat Hunting is proactive, searching for adversaries that generated no alerts.
We use automation to gather data, but the actual 'hunt' relies on human intuition, experience, and logic.
We start with a theory (e.g., 'An attacker is exploiting our public VPN') and search the data to prove or disprove it.
We offer continuous, continuous-cyclical, and ad-hoc (one-time) compromise assessments.
We immediately escalate the finding to our Incident Response team for containment.
Yes, dense endpoint telemetry is a prerequisite for effective threat hunting.
An IoC (Indicator of Compromise) is a specific IP or file hash. A TTP (Tactics, Techniques, and Procedures) is the attacker's behavior. We hunt for TTPs.
Advanced frameworks like the DoD CMMC and certain financial regulations increasingly emphasize proactive hunting.
Yes, we analyze AWS CloudTrail, Azure AD logs, and GCP Audit logs for anomalous administrative behavior.
See What a Real Finding Looks Like
Download a redacted example from past engagements to understand our reporting methodology, risk scoring, and remediation guidance.
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