Threat Intelligence Ingestion and Investigation Copilot

Scales threat intelligence operations by ingesting and normalizing STIX, Sentinel, and other feeds, then supports agent-driven deep investigation for complex incidents beyond fixed playbooks.

The Problem

“Threat Intelligence Ingestion and Investigation Copilot”

Organizations face these key challenges:

1

Threat intelligence arrives in inconsistent formats across STIX/TAXII, Sentinel, CSV, JSON, email, and vendor APIs

2

Indicator deduplication and entity normalization are labor-intensive and error-prone

3

Analysts waste time pivoting across SIEM, EDR, TIP, case management, and external intel sources

4

Fixed SOAR playbooks break down for novel or multi-stage incidents

Impact When Solved

Reduce manual threat feed processing and schema mapping effort by automating parsing, normalization, and deduplicationIncrease analyst throughput by surfacing correlated indicators, actors, malware families, and campaigns in a unified knowledge layerShorten mean time to investigate by using AI to summarize evidence, recommend pivots, and draft findingsExtend automation beyond brittle playbooks with agentic investigations that can adapt to novel incidents

The Shift

Before AI~85% Manual

Human Does

  • •Collect threat feeds from STIX/TAXII, Sentinel, vendor sources, and internal detections
  • •Manually map fields, normalize indicators, and remove duplicate entities across sources
  • •Pivot across SIEM, EDR, case records, and external intelligence sources during investigations
  • •Apply static playbooks and analyst judgment to test hypotheses and document findings

Automation

    With AI~75% Automated

    Human Does

    • •Set intelligence priorities, confidence thresholds, and investigation governance rules
    • •Review AI-surfaced correlations, hypotheses, and recommended pivots for complex incidents
    • •Approve high-impact investigation steps, response recommendations, and case conclusions

    AI Handles

    • •Ingest, classify, normalize, enrich, and deduplicate threat intelligence from heterogeneous sources
    • •Maintain a unified knowledge layer of indicators, entities, relationships, provenance, and summaries
    • •Retrieve evidence across connected security sources, recommend next investigative pivots, and summarize findings
    • •Decompose complex incidents into investigation workstreams, test hypotheses iteratively, and draft analyst-ready reports

    Operating Intelligence

    How it works

    AI surfaces what is hidden in the data.

    Humans do the substantive investigation.

    Closed cases sharpen future detection.

    Confidence94%
    ArchetypeDetect & Investigate
    Shape6-step funnel
    Human gates1
    Autonomy
    67%AI controls 4 of 6 steps

    Who is in control at each step

    Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

    Loop shapefunnel

    Step 1

    Scan

    Step 2

    Detect

    Step 3

    Assemble Evidence

    Step 4

    Investigate

    Step 5

    Act

    Step 6

    Feedback

    AI lead

    Autonomous execution

    1AI
    2AI
    3AI
    5AI
    gate

    Human lead

    Approval, override, feedback

    4Human
    6↺ Loop
    AI-led step
    Human-controlled step
    Feedback loop
    TL;DR

    AI scans and assembles evidence autonomously. Humans do the substantive investigation. Closed cases improve future scanning.

    The Loop

    6 steps

    1 operating angles mapped

    Operational Depth

    Technologies

    Technologies commonly used in Threat Intelligence Ingestion and Investigation Copilot implementations:

    Microsoft SentinelOther
    4 mentions
    STIXOther
    4 mentions
    Upload APIOther
    4 mentions
    Data connectorsOther
    3 mentions
    Intel managementOther
    3 mentions

    Key Players

    Companies actively working on Threat Intelligence Ingestion and Investigation Copilot solutions:

    Anomali ThreatStreamRecorded Future Intelligence CloudThreatConnect

    Real-World Use Cases

    Threat intelligence management at scale with STIX and Sentinel ingestion

    It lets security teams import, create, search, and manage threat intel in a standard format so it can be used operationally across their security systems.

    Structured knowledge management and workflow automation for cyber threat entities.operational platform capability powered by microsoft sentinel.
    10.0

    Agent-driven deep investigation for complex incidents

    When a case is too messy for simple rules, an AI agent is asked to investigate by searching data, checking for persistence or lateral movement, and figuring out the bigger picture.

    Tool-augmented agentic investigation and reasoningadvanced proposed workflow pattern built on native agent support.
    10.0

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