π€ Why Jibril?
Runtime security tools have traditionally forced organizations into an impossible choice: comprehensive visibility with crippling performance overhead, or acceptable performance with blind spots. Jibril eliminates this trade-off entirely.
π― The Missionβ
Deliver real-time security insights with minimal overhead while maintaining robust reliability and forensic integrity.
The Jibril Promise
Complete Visibility + Zero Event Loss + Minimal Overhead
No compromises. No trade-offs. Just results.
π What Sets Jibril Apartβ
ποΈ Unmatched Visibilityβ
Jibril tracks every system resource and interaction with complete context:
π€ Identity & Executionβ
- βοΈ Every process, thread, and binary
- π₯ All users, groups, and permissions
- π¦ Container and namespace operations
- π³ Complete process genealogy
π File Operationsβ
- π Every file access, modification, and deletion
- βοΈ Configuration file changes
- π Credential file access
- π Library loading and modifications
π Network Activityβ
- π All connections and network flows
- π DNS queries and domain access
- π‘ Protocol usage and traffic patterns
- π Internal and external communication
π― No Blind Spotsβ
- π« Cannot be bypassed from userspace
- π¦ Container escapes are visible
- π Root processes fully monitored
- π System-wide coverage
πͺ No traditional tool matches this level of comprehensive, tamper-proof visibility.
β‘ Revolutionary Performanceβ
Where other tools collapse under load, Jibril thrives:
π Constant Overheadβ
- π» Sub-5% CPU overhead regardless of event volume
- π Handles 100,000+ events per second easily
- π No performance spikes during attacks
- πΎ Predictable, bounded memory usage
π Counter-Intuitive Scalingβ
- β¬οΈ Performance improves with higher event loads
- π― Better cache hit ratios at scale
- π¦ Efficient batch processing
- β‘ Minimal context switching
β Production-Readyβ
- π’ Deploy in critical environments with confidence
- ποΈ Minimal tuning or capacity planning required
- π Zero event loss guarantees complete visibility
- π Deterministic resource consumption
π Jibril has been designed and tested on high workload environments.
π‘οΈ Proactive Securityβ
Jibril doesn't just monitor-it actively protects:
β‘ Real-Time Detectionβ
- π In-kernel pattern matching for immediate threat identification
- β±οΈ Sub-5 second detection latency regardless of event volume
- ποΈ Immediate event visibility through printers
- π§ Very complete contextual threat analysis
π€ Automated Reactionsβ
- π» JavaScript-based reaction engine
- π« Block malicious processes automatically
- π¦ Isolate compromised containers
- π§ Trigger remediation workflows
- π’ Alert security teams instantly
π― Comprehensive Detectionβ
- π Built-in detection recipes for common threats
- π§ Custom detection recipes for specific risks
- π Threat scoring and prioritization
π Learn more: Custom Detections and Reactions
π Data Immutabilityβ
Once captured, event data cannot be modified:
π Forensic Integrityβ
- π‘οΈ Tamper-proof evidence collection
- π Trustworthy audit trails
- π Reliable investigation data
- π Cryptographic verification
π Complete Contextβ
- π― Full system state at event time
- π³ Process ancestry and relationships
- π§ Environment variables and arguments
- π Network peers and connections
β οΈ Traditional tools lose this context or allow it to be modified, compromising investigations.
π Beyond Ring Buffersβ
Ring buffer architectures are fundamentally flawed for security monitoring:
β Problems with Ring Buffersβ
- π₯ Dropped events during high-volume periods
- π Unpredictable memory consumption
- π Performance degrades exponentially under load
- β Data loss when visibility matters most
β Jibril's Query-Driven Approachβ
- πΎ Events are never lost and stored in kernel
- π Predictable memory usage
- β‘ Constant performance regardless of event volume
- π Complete event capture guaranteed
ποΈ Learn more: Architecture Overview
π¨ Core Capabilitiesβ
π¬ Integrated Kernel Monitoringβ
Jibril combines introspection and tracing in a unified tool:
π Introspectionβ
- πΈ Current system state queries
- π Process and file inventories
- π Network connection tables
- βοΈ Real-time configuration snapshots
π‘ Tracingβ
- π Continuous event monitoring
- π§ Behavioral pattern analysis
- β±οΈ Temporal correlation
- π΅οΈ Historical forensics
β οΈ Traditional tools require multiple separate solutions for these capabilities.
π§ Intelligent Performance Optimizationβ
Jibril optimizes performance automatically:
πΎ Query Cachingβ
- π― Frequently accessed data cached intelligently
- π Immutability enables aggressive caching
- π Cache hit ratios improve with scale
- β No manual tuning required
π Adaptive Processingβ
- π¦ Batch operations under high load
- β‘ Efficient kernel-userspace communication
- π Minimal context switching
- ποΈ Self-tuning based on workload
π Ecosystem Integrationβ
Seamlessly integrate with existing infrastructure:
πΎ External Data Storesβ
- π Stream events to local or remote storage
- π° Fluent Bit integration for ingestion and aggregation
- ποΈ PostgreSQL, MySQL, SQLite, and other database backends
- π Elasticsearch for powerful search and analytics
- π Custom storage plugins for specialized needs
π‘οΈ Security Platformsβ
- π SIEM integration (Splunk, Elastic Security, IBM QRadar)
- π¨ Alert management (PagerDuty, OpsGenie, VictorOps)
- π« Ticketing systems (Jira, ServiceNow, Zendesk)
- π΅οΈ Threat intelligence platforms (MISP, ThreatConnect)
- π Observability tools (Datadog, New Relic, Grafana)
π APIs and Webhooksβ
- π RESTful API for programmatic control
- π― Webhooks for real-time event delivery
- π§© Plugin architecture for custom integrations
- π GraphQL support for flexible data queries
π‘ Information Acquisitionβ
Jibril provides multiple methods for acquiring security information, each optimized for different use cases:
π Queriesβ
π Rapid System Inventoryβ
- β‘ Instant process and file listings
- π Network connection tables
- π₯ User and permission enumeration
- π¦ Container and namespace discovery
π Baseline Assessmentsβ
- π System fingerprinting
- β Configuration validation
- π Compliance checking
- π Drift detection
π‘ Queries provide immediate visibility without waiting for events to occur.
π Micro Eventsβ
β‘ Efficient Activity Captureβ
- πͺΆ Lightweight event recording
- π·οΈ Minimal metadata: timestamp, type, key identifiers
- πΎ Low overhead storage
- π Complete coverage without bloat
π‘ Micro events capture what happened without drowning in unnecessary details.
π Continuous Detectionβ
π‘οΈ Proactive Threat Identificationβ
- β±οΈ Interval-based queries to kernel data
- π§ Pattern recognition across events
- π Behavioral anomaly detection
- π Persistent monitoring without performance impact
π‘ Continuous detection identifies threats before damage occurs.
Self-managed (or cloud-managed) solutions for back-end storage, API and intelligence are available.
π Complete Coverageβ
π― Resource Trackingβ
Jibril delivers exhaustive monitoring of all critical system elements:
- π₯ Users & groups
- π Authentication
- π Permissions
- π» Machines & nodes
- π·οΈ Namespaces
- π¦ Containers
- πΏ Disks & filesystems
- π Volumes & mounts
- π Files & directories
- π Processes & threads
- π Binaries & libraries
- π Interpreters
- π‘ Protocols & ports
- π Domains & IPs
- π Connections & flows
π― This comprehensive coverage ensures no security-relevant activity escapes detection.
π¬ Action Visibilityβ
Jibril records every interaction with system resources:
π Lifecycle Eventsβ
- β Create and destroy
- βΆοΈ Start and stop
- π Fork, clone, exit
βοΈ Modification Actionsβ
- βοΈ Truncate and rename
- π Link and unlink
- π Open and close
- ποΈ Mount and unmount
π Data Operationsβ
- π Read and write
- π Seek and execute
- π Copy and move
π§ Advanced Interactionsβ
- πΊοΈ Memory mapping
- π Synchronization
- π Locking/unlocking
- ποΈ Capability modifications
- π·οΈ Namespace changes
π This detailed activity logging provides the precise chronology and context needed to analyze incidents and respond effectively.
βοΈ Advantages Over Alternativesβ
π vs. Traditional Security Toolsβ
β Falco, Sysdig, Tracee, Tetragonβ
- π₯ All use ring buffers β event loss under load
- π Higher CPU overhead at scale
- π§ Limited customization options
- ποΈ Less comprehensive visibility
β Jibrilβ
- π Query-driven β zero event loss
- β‘ Constant low overhead
- π¨ Flexible detection and reaction engine
- π Complete system coverage
π vs. Host-Based IDS/IPSβ
β OSSEC, Wazuh, Aideβ
- π File integrity checking only
- π Limited runtime visibility
- β οΈ High false positive rates
- π Reactive, not proactive
β Jibrilβ
- ποΈ Complete runtime monitoring
- π Comprehensive visibility
- β Low false positives with context
- π‘οΈ Proactive threat prevention
π vs. Audit Frameworksβ
π― Use Casesβ
βΈοΈ Cloud-Native Securityβ
- π¦ Kubernetes and container monitoring
- π‘οΈ Pod security policy enforcement
- πΈοΈ Service mesh visibility
- π Multi-tenant isolation verification
π Compliance & Auditingβ
- π Complete audit trails
- π Tamper-proof evidence
- β Regulatory compliance (PCI-DSS, HIPAA, SOC 2)
- π Forensic investigations
π‘οΈ Threat Detectionβ
- π¨ Zero-day vulnerability exploitation
- π° Crypto-mining detection
- π Lateral movement tracking
- π€ Data exfiltration prevention
π§ DevSecOpsβ
- π CI/CD pipeline security
- π» Development environment monitoring
- π Production deployment verification
- π¦ GitOps integration
π Getting Startedβ
Ready to experience the difference? Get started with Jibril: