RAD Capabilities

Requirement Category	RAD Security Capability	Key Differentiators	Technical Implementation
1. RUNTIME SECURITY & PROTECTION
Real-time container and Kubernetes monitoring	✓ Comprehensive runtime monitoring across all containers and K8s resources <1% CPU impact Real-time detection	eBPF-based monitoring with minimal performance overhead and deep kernel-level visibility	eBPF sensors Kernel-level tracing No privileged access required
Process activity monitoring and anomaly detection	✓ Process-level visibility with anomalous activity detection • Interactive shell detection • Privilege escalation monitoring • Suspicious binary execution	AI/ML-powered behavioral baselines automatically learn normal container behavior patterns	MITRE ATT&CK mapping Behavioral baselines Process tree analysis
Network activity visibility	✓ Complete network visibility including: • HTTP/HTTPS traffic inspection • Network connection mapping • Lateral movement detection • PII detection in traffic	Deep packet inspection with automatic PII detection and network policy recommendations	HTTP request analysis Network flow mapping Workload communication patterns
Container escape and privilege escalation detection	✓ Advanced threat detection for: • Container breakout attempts • Privilege escalation events • Kernel exploitation attempts • Host file system access	Kernel-level monitoring detects escape attempts at the syscall level before they succeed	Syscall monitoring Namespace violation detection Capability abuse detection
Baseline enforcement	✓ Automated baseline learning and enforcement • Normal behavior profiling • Deviation alerting • Policy recommendations	ML models automatically establish baselines without manual configuration	Behavioral profiling Statistical anomaly detection Automated policy generation
2. AI/ML-DRIVEN THREAT DETECTION & AGENTIC WORKFLOWS
Autonomous security operations	✓ RADBot Agentic Platform: • Autonomous threat investigation • Natural language security queries • Automated incident response workflows • Self-healing security policies • Intelligent alert triage and prioritization	Industry-first agentic security platform that autonomously investigates, explains, and remediates security incidents without human intervention	Multi-agent orchestration Natural language processing Autonomous decision engine Workflow automation framework
Machine learning for anomaly detection	✓ Advanced ML models for: • Behavioral anomaly detection • Attack pattern recognition • Zero-day threat identification • False positive reduction	LLM-powered analysis provides contextual threat explanations and recommendations	Ensemble ML models Behavioral clustering Threat scoring algorithms
Automated runtime behavior analysis	✓ Real-time analysis with LLM explanations • Suspicious activity identification • Context-aware alerting • Automated remediation suggestions • RADBot agentic workflows	First platform to integrate LLM analysis for explaining container security events in plain English with autonomous investigation capabilities	Real-time stream processing LLM integration Contextual analysis engine Agentic automation framework
Contextual threat analysis	✓ Multi-signal correlation across: • Process activities • Network communications • File system changes • K8s API interactions • RADBot autonomous investigation	Correlates threats across entire attack chains with MITRE ATT&CK framework mapping, while RADBot autonomously investigates root causes and impact	Event correlation engine Attack chain reconstruction Multi-dimensional analysis Autonomous investigation agents
Intelligent alert management	✓ RADBot-powered alert intelligence: • Natural language incident summaries • Automated alert correlation and deduplication • Intelligent escalation workflows • Conversational security interface • Predictive threat analysis	Chat-based security operations - ask RADBot "What security events happened in my cluster today?" in natural language	Conversational AI interface Intent recognition engine Automated alert synthesis Predictive modeling
3. VULNERABILITY MANAGEMENT
Continuous image scanning	✓ Comprehensive scanning of: • Container images and dependencies • Running container vulnerabilities • Base image and layer analysis • SBOM generation and tracking	Runtime context prioritization focuses on actually exploitable vulnerabilities in running containers	Multi-scanner integration SBOM generation CVE database integration
Runtime-based prioritization	✓ Smart vulnerability prioritization • Runtime context analysis • Exploitability assessment • Business impact scoring • Attack surface mapping	Only prioritizes vulnerabilities in running containers with actual network exposure and execution paths	Risk scoring algorithms Exposure analysis Business context integration
CI/CD integration	✓ Shift-left security with: • Build-time image scanning • Policy enforcement gates • Admission controller integration • GitOps workflow support	Seamless integration with existing DevOps pipelines without requiring privileged access	Webhook integrations API-first architecture Policy-as-code support
4. KUBERNETES SECURITY POSTURE
Misconfiguration detection	✓ Comprehensive K8s security: • RBAC analysis and rightsizing • Privileged container detection • Security policy violations • CIS Kubernetes Benchmark compliance	Automated RBAC rightsizing recommendations based on actual usage patterns	Policy engine RBAC analyzer Compliance reporting
Audit log analysis	✓ K8s audit log processing for: • Anomalous API activity • Unauthorized access attempts • Policy violations • Administrative abuse detection	ML-powered audit log analysis identifies subtle insider threats and credential abuse	Audit log ingestion Anomaly detection Behavioral analysis
Admission control	✓ Policy enforcement via: • Validating Admission Policies • Custom policy development • GitOps policy management • Real-time policy updates	Centralized policy management with automatic sync to clusters via GitOps workflows	Admission webhooks Policy sync engine GitOps integration
5. PLATFORM & INTEGRATION
Multi-cloud support	✓ Universal cloud support: • AWS (EKS) ✓ • Google Cloud (GKE) ✓ • Azure (AKS) ✓ • Self-managed clusters ✓	Unified security posture across all cloud providers with consistent policies and reporting	Cloud-agnostic deployment Provider-specific optimizations Cross-cloud visibility
API-first architecture	✓ Complete API coverage for: • Security data export • Policy management • Alert routing • Third-party integrations	RESTful APIs with comprehensive documentation enable custom integrations and automation	RESTful API design OpenAPI specifications SDK availability
Low-friction deployment	✓ Simplified deployment: • No privileged access required • Helm chart installation • Minimal resource footprint • Automatic updates	Unique eBPF approach eliminates need for privileged containers or host access	eBPF user-space deployment Helm packaging Resource optimization

RAD Security Platform Response