Remove Artificial Intelligence Remove Backups Remove Threat Detection
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Protecting Oil and Gas Industry Infrastructure: Strategies for Resilience

SecureWorld News

Leverage data analysis: Data analytics and IoT technologies are revolutionizing the oil and gas sector, enabling better monitoring and threat detection. Develop backup and recovery plans: Data recovery plans are essential to mitigate the impact of cyber incidents. It requires continuous verification, even for internal users.

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Verizon's 2025 DBIR: Threats Are Faster, Smarter, and More Personal

SecureWorld News

Agentic AI refers to autonomous artificial intelligence systems capable of complex tasks, decision-making and interacting with external systems with minimal human intervention. The only method of recovery will be backups, however data shows that backups do not typically survive these breaches.

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Agentic AI vs Generative AI: SecOps Automation and the Era of Multi-AI-Agent Systems

Digital Shadows

Agentic AI refers to an advanced artificial intelligence architecture designed to perform tasks autonomously. By automating routine tasks and providing real-time threat detection and response, agentic AI helps security teams focus on more strategic activities. What Is Agentic AI? What Is Generative AI?

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Becoming an MSSP: Tools, Services & Tips for Managed Security Services

eSecurity Planet

In the survey, cybersecurity spending came out ahead of other hot areas such as the cloud and artificial intelligence (AI). The research shows that cyber threats like ransomware have become a top priority for business executives and boards of directors,” said Jon Oltsik, an analyst with ESG. CrowdStrike dashboard.

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Survey: How well do IT pros know AI and machine learning?

Webroot

What do the terms artificial intelligence and machine learning mean to you? But today, as cyberattacks against businesses and individuals continue to proliferate, technologies like AI and ML that can drastically improve threat detection, protection and prevention are critical. In all, 11% take no precautions online.

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Healthcare Cybersecurity Market Soars: Key Trends and Insights

SecureWorld News

Healthcare cybersecurity demand will be driven by ransomware resilience needs, FDA mandates for medical devices, and AI-powered threat detection," notes the Astute Analytica report. The report notes that 78% of large academic medical centers have deployed AI-powered anomaly detection tools (e.g.,

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Using AI/ML to Create Better Security Detections

Security Boulevard

This article will attempt to promote a better solution using artificial intelligence (AI) & machine learning (ML) while remaining highly understandable and easily comprehensible. These anomaly detections are more difficult for attackers to circumvent but have challenges of their own.