Using Agentic AI & Digital Twin for Cyber Resilience
The Digital Twin Revolution
Traditional security assessments are like taking a single photo of your house to check for break-in risks. Digital twins act as a 24/7 security system that constantly updates. They operate constantly, adapt to your systems, and enable safe testing of “what if” attack scenarios without endangering actual systems.
This latest innovation in the Trend Vision One™ platform delivers a continuous cycle of red and purple teaming, a process that mimics real-world adversaries to uncover vulnerabilities, test detection capabilities, and refine defensive measures in real time.
This approach replaces static, one-off security assessments with a dynamic, continuous cycle of exposure assessment, detection validation, and proactive policy adjustment. And because Trend Vision One™ is designed to operate seamlessly across hybrid cloud, on-premises, and multi-cloud environments, it provides comprehensive protection for modern enterprises.
Benefits include:
- Autonomous Red Teaming: By simulating what adversaries might attempt against a digital twin of the enterprise IT environment, organizations can safely replicate real-world attack scenarios (e.g. take over domain administrator credentials or exfiltrate sensitive data). This allows security teams to identify exposures and vulnerabilities before attackers find them.
- Continuous Defensive Validation: Instead of relying on static assessments, Trend Vision One™ conducts ongoing validation of detection logic and security controls. This ensures that defenses remain robust as the threat landscape evolves.
- Actionable and Automatable Risk Mitigation: The platform generates prioritized policy recommendations, empowering network defenders to proactively address vulnerabilities. This continuous improvement cycle builds resilience against real-world attacks.
How AI-Powered Digital Twins Can Strengthen Security
Trend’s approach harnesses autonomous AI agents in high-fidelity digital twin simulations of your environment. These AI agents are trained on real-world threats and attacker behaviors, enabling them to simulate adversarial tactics within controlled virtual replicas of your IT infrastructure.
This enables organizations to:
- Uncover risks in advance; not after breaches occur
- Understand how vulnerabilities can be exploited
- Continuously refine defenses based on AI-driven insights
- Test security controls against tactics that mirror real-world attacks
- Proactively adjust security posture through automated recommendations
This approach transforms security operations from reactive to proactive, enabling customers to anticipate threats through continuous assessment and adaptation. Compare this to traditional threat management: Organization leaders typically learn about threats from vendor blogs or threat intelligence apps. This often triggers a reactive response where teams are left wondering what action to take.
The agentic AI approach works proactively, processing threat blogs, integrating the latest CVE database intelligence, and recognizing industry-specific targeting patterns. It then simulates potential attack techniques against your digital twin, identifies specific vulnerabilities, recommends prioritized action steps, and autonomously implements protective measures where possible—all before attackers have a chance to act.
Stay ahead of the adversaries. Learn more about how Trend Vision One™ can empower your security teams to proactively defend your enterprise.
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