How Analytics Can Help You Better Understand Access Risks

The increasing complexity of modern IAM makes it hard to understand your organization’s access risks. Identity analytics can help by enhancing existing processes with a rich behavioral and event data.

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The State of Automotive Industrial IoT: Are Auto Companies Secure?

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?

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These 5 Types of Insider Threats Could Lead to Costly Data Breaches

Insider threats are not only the most common cause of cybersecurity risk, but also the costliest and hardest to detect.

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What’s On the Horizon for SIEM Technology? Five Upcoming Innovations in Security Analytics

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.

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72 Hours: How a Data Breach Response Plan Can Help You Meet the GDPR Notification Deadline

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).

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How Can Security Leaders Maintain Control of Privileged Accounts?

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.

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What Is Next-Generation Privileged Account Management?

Organizations need a privileged account management (PAM) solution that integrates seamlessly with the existing security environment — and helps security teams enforce least privilege policies.

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Breaking Down the Security Immune System: Proactive Database Protection Through SIEM Integration

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.

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Tracking Malicious Insiders: Catch Me If You Can

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.

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Machine Learning Is Our Best Weapon Against Spiraling Cyberthreats

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.

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