AI Powered Proactive Threat Remediation Service
AI-Powered Proactive Threat Remediation uses OSM's advanced AI to resolve security issues across network, web, container, and source code layers. Our MSSP Partner ensures effective remediation and mitigation, with full access to the client's environment for necessary changes.
​AI Powered Proactive
Remediation Service Benefits
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Comprehensive Threat Remediation: Ensures that identified threats are not only detected but also effectively remediated and mitigated.
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Layer-Specific Expertise: Provides specialized threat management for network, web, container, and source code layers, ensuring thorough security across the entire IT environment.
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Operational Assurance: MSSP Partner takes full responsibility for issue management, reducing the burden on the client’s internal team.​
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Multi-Layer Visibility
By employing machine learning and AI, we consolidate data from multiple threat scanners, providing comprehensive visibility across your network.
Automated Process Management
Our platform manages processes, tracks Service Level Agreements (SLAs), and escalates issues automatically, ensuring timely responses to potential threats.
Real Risk Management
We prioritize critical assets, reducing noise from non-critical assets and allowing you to focus on genuine risks.
Regulatory Compliance
Our services are designed to comply with standards such as PCI DSS, OWASP, HIPAA, and PSD2, ensuring that your organization meets necessary regulatory requirements.
Flexible Deployment
Whether on-premise or in the cloud, our AI-powered solutions are adaptable to your environment, even supporting air-gapped setups for maximum security.
Addressing Emerging Cybersecurity Trends
The cybersecurity landscape is continually evolving, with emerging threats such as AI-enhanced malware and sophisticated phishing attacks becoming more prevalent. Our AI-Powered Proactive Threat Remediation Service is designed to address these challenges by:
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​Advanced Threat Detection: Utilizing AI to detect and respond to threats in real-time, ensuring that even the most sophisticated attacks are identified and mitigated promptly.
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Behavioral Analysis: Employing machine learning algorithms to analyze user behavior and network traffic, identifying anomalies that may indicate potential security incidents.
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Automated Response: Implementing AI-driven automated responses to contain and remediate threats swiftly, minimizing potential damage and reducing the burden on security teams.