AI investigation workflow

From alert to resolution, fully autonomous.

Watch how our AI agents orchestrate complex security investigations—triaging alerts, gathering context, analyzing threats, and executing responses without human intervention.

The autonomous investigation lifecycle.

From alert ingestion to a verdict you can defend, without a human in the loop for the routine cases. Depth scales with the signal, and every step is logged.

01

Alert ingestion

Alerts stream in from 116 native connectors across 19 categories (SIEM, EDR, firewall and more), plus any tool that can send a webhook.Real-time event processingMulti-source correlationDeduplication & normalization

Deduplicated and normalized on arrival

02

AI triage

The investigation agent analyzes alert severity, context, and business impact to prioritize investigations.Severity scoring (0-100)One confidence threshold you set — 85 by defaultPriority queue assignment

Confidence-based routing

03

Investigation

The OSCAR loop orchestrates investigations—hypothesis-driven collection followed by iterative threat hunting, log analysis, and attack narrative construction.Dynamic tool selectionContext enrichmentThreat hunting & IOCs

Core · Autonomous investigation

04

Response

AI executes response actions based on severity and your autonomy settings—from alerts to full remediation.Automated containmentTicket creation & routingStakeholder notifications

Levels 0-5 autonomy

OSCAR investigation workflow.

Our agentic AI doesn't follow rigid playbooks—it dynamically adapts its investigation path based on what it discovers, just like a senior analyst.

  1. 01

    Alert analysis

    The investigation agent analyzes the alert, extracts IOCs (IPs, domains, hashes), and determines initial investigation scope.

  2. 02

    Dynamic tool selection

    Based on alert type, AI selects appropriate tools: SIEM queries, EDR telemetry, threat intel lookups, user context.

  3. 03

    Hybrid investigation flow

    After parallel context enrichment, AI performs iterative reasoning—analyzing findings, forming hypotheses, and pivoting investigation based on discoveries.

  4. 04

    Verdict & response

    AI generates attack narrative, assigns confidence-scored verdict (e.g., "Likely False Positive - 92% confidence"), and routes accordingly.

Why OSCAR?

Traditional SOAR platforms use rigid "if-this-then-that" playbooks. Our OSCAR agents use agentic reasoning—they think, adapt, and make decisions like human analysts.

Context-aware

Agents remember findings across investigation steps and use context to make better decisions.

Self-correcting (with guardrails)

AI pivots investigation when initial hypothesis is wrong. Max 15-step limit prevents runaway loops; graceful handoff to analyst if needed.

Explainable

Full reasoning chain visible—see every decision the AI made and why it made it.

Customizable

Configure investigation depth, tool access, and autonomy levels per alert type.

Confidence-gated autonomy.

FortMind doesn't close a case on a guess. It acts autonomously only when every phase clears your organisation's confidence threshold, the primary hypothesis reaches a decisive verdict, and nothing is pending escalation. Anything short of that goes to a human—with the full reasoning trail attached.

Manual vs autonomous operations.

See the dramatic difference in speed, accuracy, and analyst experience.

Before: manual operations.

Traditional SOC workflow

  • Every alert hand-worked, console by console

    Analysts manually query 5-10 different tools, copy-paste data, correlate events.

  • Most alerts turn out to be nothing

    Alert fatigue leads to missed threats, alert suppression, and analyst burnout.

  • Limited 24/7 coverage

    Alerts during off-hours wait until next shift, increasing dwell time.

  • Inconsistent investigation quality

    Varies by analyst experience—junior analysts miss context senior ones would catch.

  • Widespread analyst burnout

    Repetitive triage work, alert overload, and on-call stress drive high turnover.

~200 alerts/dayOnly 10-15 investigated thoroughly

After: FortMind autonomous SOC.

AI-powered operations

  • Autonomous investigation

    AI uses hybrid execution—parallel context enrichment (IP rep, threat intel) followed by iterative threat hunting.

  • Confidence-gated triage, on a threshold you set

    Every phase has to clear your threshold before a verdict is acted on autonomously. Anything below it escalates to a human with the evidence attached.

  • True 24/7/365 coverage

    AI never sleeps—every alert picked up when it arrives, no backlog, no shift handoffs.

  • Consistent senior-level quality

    Every investigation follows best practices—no variation in depth or accuracy.

  • Analysts focus on strategic work

    No more triage grind—analysts do threat hunting, architecture, and high-value analysis.

~200 alerts/dayAll investigated automatically

Analyst time back.

Tier-1 triage runs without a person in the loop, so your team works the cases that need judgement.

Real-time investigation dashboard.

Watch investigations unfold in real-time with full transparency into AI reasoning.

Active investigations.

Suspicious Login
Active
Step 3/7 • Querying EDR telemetry
Malware Detection
Queued
Waiting for priority slot
Port Scan Alert
Complete
Verdict: False Positive (2 min ago)

Investigation: suspicious login.

Alert ID: #A-2847
Alert Received
Okta suspicious login from 203.0.113.45 (Singapore)
2 minutes ago
Threat Intel Lookup
IP reputation: Clean (VirusTotal, AbuseIPDB)
1 minute ago
...
Querying EDR
Checking for process anomalies on target host...
In progress
4
User Context Check
Pending: Verify user location & recent activity
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..."

Ready to see it in action?

Book a live demo and watch our AI agents handle real security alerts in real-time—from triage to resolution.

Connect your existing stack