Agentic AI: The Next Evolution
Unlike platforms where AI is merely an add-on feature, TruContext features autonomous AI agents embedded in every layer of analysis and visualization. These intelligent agents work independently to analyze threats, identify patterns, and execute response workflows automatically. This agentic AI approach enables contextual differentiation that moves organizations from reactive alert management to proactive threat prevention, positioning Visium Analytics as a leader in AI-driven cybersecurity solutions.
From Reactive to Predictive
While other platforms show you what happened, TruContext provides superior value by showing:
- •What happened - Complete event timeline
- •Why it matters - Business impact analysis
- •What's connected - Relationship mapping
- •What's likely to happen next - Predictive intelligence
75% Reduction in MTTD
Most customers see actionable insights within 30 days of deployment, achieving dramatic reductions in Mean Time to Detect
Core AI Capabilities
Machine Learning & Pattern Recognition
The AI engine continuously analyzes data streams to identify patterns, anomalies, and complex relationships that are impossible for human analysts to detect manually. The system is engineered to learn the normal behavior of your environment and flag deviations indicating potential threats or opportunities. This capability processes billions of events in real-time, correlating data across multiple dimensions to surface hidden connections and emerging patterns.
Predictive Analytics
TruContext's proactive nature utilizes both historical and real-time data feeds to forecast potential security incidents, operational disruptions, and business trends before they materialize. This predictive capability enables teams to act proactively rather than reactively, shifting from incident response to incident prevention. The platform analyzes trends, identifies early warning indicators, and provides actionable recommendations to prevent issues before they impact operations.
Automated Threat Correlation
The AI automatically correlates threat indicators across myriad data sources, linking seemingly disparate events to expose the complete attack chain or operational failure. This reduces investigation time from days to seconds by automatically connecting dots that would take human analysts hours or days to discover. The system integrates with SIEM, EDR, firewalls, and other security tools to provide a unified view of threats across your entire infrastructure.
Continuous Learning
The self-improving capability ensures that the platform continuously refines its models and improves accuracy based on the unique data patterns and feedback loop inherent in your deployment environment. As the system processes more data and receives feedback from security teams, it becomes increasingly accurate at identifying threats specific to your organization. This adaptive learning means the platform becomes more valuable over time.
Natural Language Queries
This critical User Experience (UX) benefit allows users to query their security posture or operations using plain English, with the AI providing precise answers and visual representations. Instead of learning complex query languages or navigating through multiple dashboards, analysts can simply ask questions like "Show me all failed login attempts from external IPs in the last 24 hours" and receive instant, actionable results with visual context.
AI-Powered Icon Generation
TruContext features a sophisticated dual API system with Recraft.ai as primary and Gemini as fallback for automated icon generation and asset management. This relational database-powered icon mapping system with Cloudinary integration enables dynamic visualization of network assets with preview and approval workflows. The system automatically generates contextually appropriate icons for new assets, maintaining visual consistency across the platform.
Autonomous AI Agents
TruContext's agentic AI capabilities include autonomous agents that work independently to analyze threats, execute response workflows, and make intelligent decisions without human intervention. These AI agents continuously monitor your environment, correlate data across multiple sources, and proactively identify emerging threats. The agents learn from each interaction, becoming more effective over time and adapting to your organization's unique threat landscape.
Proven Results
Reduction in MTTD
Mean Time to Detect threats dramatically reduced
Faster Response
Incident response time cut by more than half
Fewer False Positives
Reduction in alert fatigue and wasted investigation time
MITRE ATT&CK Framework Integration
TruContext integrates the MITRE ATT&CK framework for threat-informed defense, mapping detected threats to known adversarial tactics, techniques, and procedures (TTPs) to provide context and guide response strategies.