What's new in Cogent: Multi-tier system ownership. Read about it here
The Cogent AI Engine
Why Cogent’s AI is different
Most security tools with AI stop at summaries and scores. Cogent's AI agents do the real work of investigating assets, coordinating fixes, and verifying remediation.
Traditional “AI” security tools
AI summarizes findings
Black-box risk scores
Analysts still do the work
One-size-fits-all automation
"Set it and forget it" autopilot
Activity metrics (tickets created)
Cogent’s agentic AI platform
AI executes multi-step workflows
Explainable reasoning with confidence levels
Agents do the work of investigation, routing, and verification
Personalized to your organization's processes and workflows
Governed autonomy with human authority
Outcome metrics (vulnerabilities closed with evidence)
AI Data Fabric
The foundation for intelligent decisions
Your AI agents can’t “do the work” if they don’t have a clean, current view of reality. The AI Data Fabric connects to the tools you already run and turns their overlapping signals into a living model your agents can safely reason on, then act on under your control.
Real-time streaming architecture
Continuous data ingestion processes changes as they happen, not in overnight batch jobs. Risk assessments reflect your current environment state without delay.
Intelligent entity resolution
Advanced language models automatically identify when different tools report the same asset despite naming inconsistencies, resolving conflicts across scanners, CMDBs, and cloud platforms.
Unified knowledge graph
Normalizes data from all sources into a single interconnected model that maps relationships between assets, vulnerabilities, ownership, business functions, and controls.
Conflict Resolution
When sources conflict, the system weighs the authority of each data point to provide the most accurate assessment, then displays the confidence level.
Automated context enrichment
Assets are automatically classified as data streams in, building a cohesive picture of exposure, criticality, and compliance impact
Enterprise-scale processing
Streaming-first architecture handles millions of events per hour and processes billions of signals without performance degradation, enabling real-time correlation at scale.
AI Reasoning Engine
Analyst-grade decisions at machine speed
Cogent’s AI Reasoning Engine is a real-time system that behaves like a security analyst working 24/7, ingesting raw signals, assembling missing context, and producing explainable, actionable conclusions in seconds instead of hours.
Specialized agent architecture
Multiple AI agents work together, each trained for specific workflow steps: data normalization, context enrichment, risk assessment, and remediation planning. Agents collaborate to produce comprehensive analysis.
Security-tuned embedding models
Proprietary models fine-tuned specifically for security data enable semantic search that retrieves relevant context instantly based on how your environment describes assets, vulnerabilities, and controls.
Domain expertise from security patterns
Models trained on millions of real vulnerability management decisions recognize contextual factors that affect priority and remediation approach, going far beyond generic CVSS scoring.
Millisecond task chaining
Complex multi-step workflows execute in real time through graph traversal: mapping CVEs to assets, identifying patch policies, tracing ownership, checking remediation history, generating tickets.
Explainable reasoning chains
Every recommendation includes the complete chain-of-thought showing which agents evaluated what factors, what data sources were consulted, what alternatives were considered, and why this path was selected.
Continuous learning from outcomes
When teams approve exceptions or complete fixes, those outcomes update the knowledge graph. The system learns from your decisions and adapts its reasoning to match your organization's patterns.
Event-driven intelligence that reacts in real time
Risk changes constantly. Cogent's agents respond immediately when something meaningful happens in your environment.
Asset suddenly exposed to the Internet
Compensating control removed
Patch applied
Risk score immediately elevated, alert created.
Previously low-priority vulnerability becomes critical.
Remediation is verified and vulnerability is removed.
Built for trust and control
Cogent is designed for enterprises that need governance, not just speed. Every decision is explainable. Every action is controlled.
1
Humans decide what can happen
Set approval requirements, confidence thresholds, and policy constraints. Low-confidence recommendations always escalate to humans.
2
Understand every AI decision
Full data lineage showing which scanner found what, how AI weighted conflicting sources, what historical patterns influenced the decision.
3
Audit every outcome
Audit logs, evidence collection, and verification that remediation was effective with documented proof.
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