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Next-Gen

hackers

defenders

AI-powered solution simulates high-intensity attacks across broader environments, continuously learning and adapting to anticipate future vulnerabilities and stay ahead of evolving threats.

Four Steps

AI-Driven Cyber Defense

Step-1: Smart Discovery

Identifying and Analyzing Critical System Components

MH’s Discovery phase uses AI and ML tools to scan and identify critical system components, including networks, databases, and services. This process detects vulnerable elements and gathers data on their configurations and interactions.

Step-2: Creating TWIN

A Holistic Approach to Threat Detection and Mitigation

MH’s dynamic twins create unlimited virtual spaces for safe, continuous penetration testing, ensuring real-time threat detection and adaptation. This innovative approach enhances security without impacting production environments.

Step-3: Penetration Testing

Uncovering Vulnerabilities With AI-Driven Dynamic Twins

MH clones the TWIN environment into multiple twins, each representing different system layers (network, applications, DB). High-intensity attacks are performed on each twin using advanced AI tools, uncovering vulnerabilities without affecting the original environment. MH’s AI analyzes findings and provides real-time protection recommendations.

Step-4: Security Actions

Enhancing Protection with AI

In the final phase, MH executes security actions based on the attack summary report. AI is used to identify security holes and issues, distinguishing between critical and non-critical components. Critical issues are filtered for immediate action, while non-critical ones are scheduled for later.

Cybersecurity Insights &

The Need for Mirrorhive

$ 0 B

Security Spending

Global spending on security and risk management products and services is projected to reach $215 billion in 2024, reflecting the significant financial commitment needed to protect cloud infrastructure from escalating cyber threads.

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Cloud Breaches

A significant 79% of companies have experienced at least one cloud database in the last 18 months, demonstrating the pervasive nature of cloud security vulnerabilities.

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Breach Detection Lag

200 days is there Everest time it takes to identify a data breach. This long detection period can lead to significant damage under scoring the importance of MH's is productive and real time thread direction capabilities.

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Faster Breach Detection

Implementing AI-driven cyber security solutions can significantly accelerate bridge detection and response times, with research indicating up to 70% faster detection and containment of breaches.