Watch how our AI agents powered by Claude Sonnet 4.5 and LangGraph orchestrate complex security investigations—triaging alerts, gathering context, analyzing threats, and executing responses without human intervention.
From alert ingestion to threat resolution in seconds, not hours. Our AI agents handle the entire investigation workflow autonomously.
Alerts stream in from 300+ integrated security tools (SIEM, EDR, Firewall, etc.) via webhooks and APIs.
Claude Sonnet 4.5 analyzes alert severity, context, and business impact to prioritize investigations.
LangGraph orchestrates hybrid investigations—parallel context enrichment followed by iterative threat hunting, log analysis, and attack narrative construction.
AI executes response actions based on severity and your autonomy settings—from alerts to full remediation.
Our agentic AI doesn't follow rigid playbooks—it dynamically adapts its investigation path based on what it discovers, just like a senior analyst.
Claude analyzes the alert, extracts IOCs (IPs, domains, hashes), and determines initial investigation scope.
Based on alert type, AI selects appropriate tools: SIEM queries, EDR telemetry, threat intel lookups, user context.
After parallel context enrichment, AI performs iterative reasoning—analyzing findings, forming hypotheses, and pivoting investigation based on discoveries.
AI generates attack narrative, assigns confidence-scored verdict (e.g., "Likely False Positive - 92% confidence"), and routes accordingly.
Traditional SOAR platforms use rigid "if-this-then-that" playbooks. Our LangGraph-powered agents use agentic reasoning—they think, adapt, and make decisions like human analysts.
Agents remember findings across investigation steps and use context to make better decisions.
AI pivots investigation when initial hypothesis is wrong. Max 15-step limit prevents runaway loops; graceful handoff to analyst if needed.
Full reasoning chain visible—see every decision the AI made and why it made it.
Configure investigation depth, tool access, and autonomy levels per alert type.
Extended thinking, tool use, and reasoning capabilities enable complex multi-step investigations that would take human analysts hours to complete.
See the dramatic difference in speed, accuracy, and analyst experience.
Traditional SOC workflow
Analysts manually query 5-10 different tools, copy-paste data, correlate events.
Alert fatigue leads to missed threats, alert suppression, and analyst burnout.
Alerts during off-hours wait until next shift, increasing dwell time.
Varies by analyst experience—junior analysts miss context senior ones would catch.
Repetitive triage work, alert overload, and on-call stress drive high turnover.
Only 10-15 investigated thoroughly
AI-powered operations
AI uses hybrid execution—parallel context enrichment (IP rep, threat intel) followed by iterative threat hunting—90% faster.
High-confidence verdicts auto-resolve; medium-confidence alerts prepare summaries for review; low-confidence escalates immediately.
AI never sleeps—every alert investigated immediately, no backlog, no shift handoffs.
Every investigation follows best practices—no variation in depth or accuracy.
No more triage grind—analysts do threat hunting, architecture, and high-value analysis.
ALL investigated automatically
From 45 minutes per alert to 2-5 minutes—freeing your team to focus on what matters.
Watch investigations unfold in real-time with full transparency into AI reasoning.
"Login from Singapore matches user's known location. However, timing is unusual (3 AM local time). Checking EDR for host-based indicators before making verdict..."
Book a live demo and watch our AI agents handle real security alerts in real-time—from triage to resolution.