Traditional incident response depends on human availability and manual investigation. Sythe Labs replaces the wait with automation. As part of the integrated security platform, AI-Enabled Incident Response ingests signals from across your infrastructure, applies machine-speed analysis, and executes containment and remediation playbooks automatically. Every incident enriches the threat intelligence that feeds back into pentesting and risk scoring — creating a continuous security feedback loop.
The platform continuously ingests alerts, logs, and telemetry from your entire environment — endpoints, network, cloud, identity, and email — through direct integrations with your logging and monitoring infrastructure.
AI models classify severity, deduplicate noise, and correlate disparate events into unified incidents. The platform identifies attack patterns and maps them to known threat actor TTPs in real time.
Based on the incident classification, the platform executes pre-approved containment actions — isolating compromised hosts, blocking malicious IPs, disabling compromised accounts — without waiting for human approval.
The platform reconstructs a complete attack timeline, mapping every action from initial access through lateral movement to impact. Forensic artifacts are preserved automatically for compliance and investigation.
Automated remediation playbooks eradicate threats and restore systems. Every incident generates new threat intelligence that feeds back into risk assessments and penetration testing priorities, strengthening your security posture with each event.
The platform detects ransomware behavior at the earliest stages — file encryption patterns, C2 communication, privilege escalation — and automatically isolates affected systems before lateral spread.
AI models detect anomalous data movement patterns — unusual volume, atypical destinations, off-hours transfers — and automatically block exfiltration channels while preserving evidence.
The platform correlates identity signals, login anomalies, and email behavior to detect account takeover and BEC attacks, automatically locking compromised accounts and reversing malicious changes.
Long-dwell-time threats are surfaced through continuous behavioral analysis and anomaly detection. The platform identifies persistence mechanisms, living-off-the-land techniques, and slow-and-low data staging.
User and entity behavior analytics (UEBA) detect departures from baseline activity, flagging potential insider threats for automated investigation and, where policy permits, automatic access restriction.
Cloud-native detection and response across AWS, Azure, and GCP. The platform monitors API calls, configuration changes, and resource creation to catch cloud-specific attacks in real time.
Incident response does not operate in a silo. Every capability on the Sythe Labs platform shares data bidirectionally, so each incident makes every other vertical smarter. Threat intelligence from incidents feeds directly into risk scoring, penetration testing priorities, and monitoring rule generation — creating a continuous security improvement loop.
Automated triage and containment execute at machine speed. The platform identifies, classifies, and begins remediating incidents before a human analyst could finish reading the first alert.
Every incident trains the platform. AI models improve classification accuracy, playbooks evolve based on real outcomes, and detection rules update automatically from new IOCs.
AI-reconstructed timelines, automated evidence preservation, and machine-generated forensic reports reduce investigation time from days to minutes while maintaining court-admissible standards.
Incident response is not a standalone service — it is woven into every layer of the Sythe Labs platform, sharing intelligence with logging, risk assessment, and pentesting in real time.
The platform begins triage and correlation within seconds of signal ingestion. Automated containment actions — host isolation, account lockout, network blocking — execute immediately based on pre-approved playbooks. Full timeline reconstruction typically completes within minutes, not the hours or days required by traditional incident response teams.
The platform handles triage, correlation, containment, and initial remediation automatically — eliminating the bottleneck of human availability for routine and time-critical actions. Human analysts focus on strategic decisions, complex investigations, and refining playbooks. The result is faster response with better analyst productivity, not analyst elimination.
Every incident generates threat intelligence that flows across the platform. IOCs update monitoring detection rules automatically. Exploited vulnerabilities elevate risk assessment scores. Attack paths discovered during incidents inform penetration testing priorities. This intelligence flywheel means each incident strengthens your overall security posture.
Yes. The platform detects ransomware at the behavioral level — before encryption completes — and automatically isolates affected systems. For advanced persistent threats, continuous behavioral analysis surfaces long-dwell-time intrusions that signature-based tools miss. AI models map attacker techniques to the MITRE ATT&CK framework for comprehensive threat characterization.
The platform maintains proper chain of custody for all evidence, produces tamper-evident forensic artifacts, and generates detailed timeline reports suitable for regulatory compliance, insurance claims, and legal proceedings. Automated evidence preservation ensures nothing is lost to delayed human response.