AI-Driven Security
CTEM: The Framework.
Offensive Security Manager: The Operationalization.
Continuous Threat Exposure Management (CTEM) is the continuous security framework for the modern enterprise. Offensive Security Manager operationalizes CTEM through its 7-Stage AI Risk Management Cycle and Dual Workflow System.
CTEM Stages — How OSM Operationalizes Each Step
CTEM theory meets Offensive Security Manager architecture — every stage maps to a specific automated component.
01
CTEM Framework
Scoping
Define what assets and attack surfaces are in scope for continuous exposure management.
Offensive Security Manager
Asset Information Pillar
Asset Management system with continuous discovery across Network, Web, Container, and Code layers. Scope defined autonomously.
02
CTEM Framework
Discovery
Continuously discover vulnerabilities and exposures across the defined attack surface.
Offensive Security Manager
Security Data Pillar
Automated scanning across all security layers feeds into the Security Data pillar. AI Wizards provide continuous CVE enrichment.
03
CTEM Framework
Prioritization
Prioritize exposures by likelihood of exploitation and potential operational impact.
Offensive Security Manager
OSM Brain Real Risk
Real Risk Scoring combines Security Context with active threat signals — 88% more accurate prioritization than CVSS alone.
04
CTEM Framework
Validation
Validate whether exposures are actually exploitable in your specific environment architecture.
Offensive Security Manager
Issue Quality Workflow
AI-powered finding validation and false positive filtering (93% reduction) using contextual exploitability confirmation.
05
CTEM Framework
Mobilization
Drive validated exposures to remediation with stakeholder coordination and tracking.
Offensive Security Manager
Issue Resolution Workflow
AI-optimized remediation planning and SLA-driven escalation, yielding 87% more effective remediation across the enterprise.
OSM AI Risk Cycle — The Engine Behind CTEM
The 7-Stage AI Risk Management Cycle operationalizes each CTEM stage continuously format.
Stage 01
Predict Security Risks
AI-powered threat prediction from the Four-Pillar Data Foundation before exploitation occurs.
92% PREVENTION RATE
Stage 02
Predict Privacy Risks
Continuous compliance gap detection across GDPR, HIPAA, PCI DSS, NIS2.
90% COMPLIANCE BOOST
Stage 03
Predict Risk Scenarios
Thousands of attack path simulations using active Realtime Risk Data.
76% BETTER PRIORITIZATION
Stage 04
Predict Attacker Activity
Threat actor TTP forecasting via the dedicated Exploit DB Intelligence.
82% DEFENSE IMPROVEMENT
Stage 05
Research & Summarize
26,247+ CVEs and 46,769+ exploits processed autonomously.
73% FASTER ASSESSMENT
Stage 06-07
Communicate & Resolve
Detailed resolution guidance and enriched insights for stakeholders.
87% BETTER REMEDIATION
