Memory for agentic SOCs — where it fits in your stack.

ThreatRecall is the evidence-backed memory and recall layer for CTI. It doesn't replace your threat-intel platform, your agent framework, or your SIEM — it makes what you already know reachable, with provenance. Three axes, one page.

Axis 1 · CTI platforms

ThreatRecall vs. OpenCTI & MISP

Complement, not replace. OpenCTI and MISP are systems of record for structured intel and sharing. ThreatRecall is the natural-language recall + session memory layer that sits on top and reads/writes STIX both ways.

Capability	ThreatRecall	OpenCTI / MISP
Primary job	Ask "what do we know about X?" and get an evidence-backed answer	Store, correlate, and share structured indicators & reports
Natural-language recall over history	✓ per-query synthesis + confidence	✗ manual search / GraphQL
Evidence + confidence on every answer	✓ cited source records	~ data present, not answer-linked
STIX 2.1 interop	✓ ingest + export (round-trip)	✓ native
How they connect	STIX 2.1 ingest + bidirectional REST; export recall results back as a STIX bundle. Integration docs →

Axis 2 · AI memory tools

ThreatRecall vs. Mem0, Letta & generic agent memory

Same axis, built for CTI. Mem0 and Letta are strong general agent memory. None enforce TLP, require evidence, or ship a CTI data model — that was never their scope. Deeper dive: ThreatRecall vs Mem0 →

Capability	ThreatRecall	Mem0 / Letta
TLP / CUI enforcementAMBER/RED never reaches the LLM	✓	✗
Evidence + provenance required on recall	✓	✗ vector recall, no provenance
Signed audit log export (CSV + JSONL)	✓	✗
CTI data model (actor / TTP / CVE / IOC)	✓	✗ custom adapters needed
Memory correction — reject / merge / correct	✓	~ self-editing, no correction UI

Axis 3 · SIEM dashboards

ThreatRecall vs. Splunk & Microsoft Sentinel

Context on top, not a log pipeline. Your SIEM ingests logs, correlates, and alerts. ThreatRecall answers "have we seen this before, and what did we conclude?" against the IOCs your dashboards surface.

Capability	ThreatRecall	Splunk / Sentinel
Primary job	CTI memory + recall with evidence	Log ingest, correlation, alert triage, dashboards
Raw log ingest & detection rules	✗ not a SIEM	✓ core
IOC context on an alert"This IP appeared in APT29 intel last month — here's the evidence"	✓	✗ enrichment add-on
Cross-investigation memory that persists	✓	~ searches, not synthesized memory
How they connect	Splunk HEC ingest (beta) + webhook on notable events; Sentinel Logic Apps trigger on incident creation with write-back. Integration docs →

Bottom line

If you need a threat-intel platform, buy OpenCTI/MISP. If you need general agent memory, use Mem0/Letta. If you need a SIEM, keep Splunk/Sentinel. ThreatRecall is the layer that makes all three remember — evidence-backed recall, TLP-enforced, STIX-native, audit-ready.

Try live recall — no signup See pricing & ROI → Book a fit check

Full interactive comparison: threatrecall.ai/compare · Sources verified May 2026; ThreatRecall reflects current production capabilities · support@threatrecall.ai