Elastic Security vs Recorded Future
Side-by-side comparison to help you choose the best tool.
Elastic Security
freemiumAI SIEM and endpoint security built on the Elastic Stack with ML anomaly detection, attack surface management, and AI assistant for threat hunting. Elastic Security provides out-of-the-box detection rules mapped to MITRE ATT&CK and machine learning jobs for automated anomaly detection. The AI assistant helps analysts investigate alerts and generate detection rules using natural language.
Recorded Future
paidAI threat intelligence platform that continuously analyses the internet, dark web, and technical sources to provide real-time intelligence on cyber threats. Recorded Future uses NLP and machine learning to process millions of sources and surface threat actors, malware campaigns, and indicators of compromise relevant to an organisation. The Intelligence Cloud provides contextual threat intelligence that integrates directly into security tools and workflows.
| Feature | Elastic Security | Recorded Future |
|---|---|---|
| Pricing | freemium | paid |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.3 | 4.7 |
| Best For | Organisations already using the Elastic Stack seeking integrated security analytics | Enterprise security and threat intelligence teams needing complete real-time threat intelligence |
| Views | 4 | 6 |
Pros
- Open-source foundation with no data volume licensing
- Strong integration with existing Elastic Stack deployments
- Active community and extensive documentation
Cons
- Self-managed deployments require significant operational expertise
- Advanced AI features require paid subscriptions
Pros
- Unmatched breadth of intelligence sources including dark web coverage
- AI processing provides contextual relevance rather than raw indicator feeds
- Strong integration with security operations tooling
Cons
- Premium pricing makes it primarily accessible to large enterprises
- Requires dedicated analyst resources to fully leverage intelligence
- AI-powered security assistant
- MITRE ATT&CK-aligned detection rules
- Machine learning anomaly detection
- Endpoint security with EDR capabilities
- Attack surface management
- Real-time dark web and internet monitoring
- AI-powered threat actor profiling
- Indicator of compromise enrichment
- Vulnerability intelligence and prioritisation
- Integration with SIEM and SOAR platforms