Collaborate Disseminate
Industrial IoT technologies promise to revolutionize the automotive industry, but they also introduce new risks. What are the biggest threats auto companies face, and how can they mitigate them?
The post The State of Automotive Industrial IoT: Are Auto Companies Secure? appeared first on Security Intelligence.
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Insider threats are not only the most common cause of cybersecurity risk, but also the costliest and hardest to detect.
The post These 5 Types of Insider Threats Could Lead to Costly Data Breaches appeared first on Security Intelligence.
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As cloud adoption increases, the IT skills gap widens and the threat landscape becomes more sophisticated, innovations in SIEM technology will revolutionize the way SOCs perform security analytics.
The post What’s On the Horizon for SIEM Technology? Five Upcoming Innovations in Security Analytics appeared first on Security Intelligence.
Without a data breach response plan, companies will find it difficult to disclose security incidents within 72 hours as required by the General Data Protection Regulation (GDPR).
The post 72 Hours: How a Data Breach Response Plan Can Help You Meet the GDPR Notification Deadline appeared first on Security Intelligence.
When users are granted inappropriate access to privileged accounts, they open the entire IT environment to vulnerabilities — and make it easier for malicious actors to infiltrate corporate networks.
The post How Can Security Leaders Maintain Control of Privileged Accounts? appeared first on Security Intelligence.
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Organizations need a privileged account management (PAM) solution that integrates seamlessly with the existing security environment — and helps security teams enforce least privilege policies.
The post What Is Next-Generation Privileged Account Management? appeared first on Security Intelligence.
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Security analysts can maximize the effectiveness of their incident response capabilities by integrating disparate tools such as database firewalls and UBA with a strong SIEM solution.
The post Breaking Down the Security Immune System: Proactive Database Protection Through SIEM Integration appeared first on Security Intelligence.
A UBA solution powered by machine learning enables security teams to model normal behavior and track subtle changes in user activity to identify malicious insiders.
The post Tracking Malicious Insiders: Catch Me If You Can appeared first on Security Intelligence.
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To defend their confidential data from increasingly sophisticated cybercriminals, security teams must leverage machine learning to perform analytical tasks that are too tedious for humans to complete.
The post Machine Learning Is Our Best Weapon Against Spiraling Cyberthreats appeared first on Security Intelligence.
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Security professionals need a comprehensive way to analyze user behavior, automatically respond to reports of suspicious activity and manage user access accordingly to thwart insider threats.
The post Using Machine Learning to Make Faster, Smarter Decisions About Insider Threats appeared first on Security Intelligence.
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