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Automating insider threat management

Insider threats can be malicious or negligent employees, but could be external cybercriminals who bypassed perimeter controls to use a compromised valid account. Organizations need continuous visibility and automation to reduce risk from privileged data access and to empower incident response teams for efficient threat mitigation.

Continuous visibility

Clear visibility across your data environment. See results, their importance, and next steps.

Streamline workflows

Automation combines known attacker techniques with machine learning to identify data access.

Force multiplier

Reduce manual effort and boost security team productivity with accurate and appropriate threat context.

Identifying insider threats is harder than ever

Internal users have legitimate access to valuable information; cybercriminals leverage valid accounts through exploitation of system weaknesses, misconfiguration and vulnerabilities. Threats can come from anywhere and organizations must be prepared to respond.

Identify insider threat mobile
  • Privilege misuse is common to successful attacks

    Adversaries abuse credentials of existing accounts to bypass access controls. MITRE lists valid accounts as a sub-technique for initial access and privilege escalation tactics.

  • Threat context is important

    Overwhelmed by excessive alerts, incident response teams require intelligent tools to aid the manual evaluation of low severity events and prioritize response efforts.

  • IT security teams need force multipliers

    Organizations need to differentiate between appropriate data access and an insider threat incident. Automation enables focus on events that require human interpretation.

  • More applications, more paths to data

    Firms struggle with solutions that don’t allow for an increased number of applications and the exponential growth of data found in most organizations.

Identifying insider threats is harder than ever

Internal users have legitimate access to valuable information; cybercriminals leverage valid accounts through exploitation of system weaknesses, misconfiguration and vulnerabilities. Threats can come from anywhere and organizations must be prepared to respond.

  • Privilege misuse is common to successful attacks

    Adversaries abuse credentials of existing accounts to bypass access controls. MITRE lists valid accounts as a sub-technique for initial access and privilege escalation tactics.

  • Threat context is important

    Overwhelmed by excessive alerts, incident response teams require intelligent tools to aid the manual evaluation of low severity events and prioritize response efforts.

  • IT security teams need force multipliers

    Organizations need to differentiate between appropriate data access and an insider threat incident. Automation enables focus on events that require human interpretation.

  • More applications, more paths to data

    Firms struggle with solutions that don’t allow for an increased number of applications and the exponential growth of data found in most organizations.

Risk-based analytics and automation increase accuracy

Adopting a risk-based methodology to your digital protection allows evaluation of data according to your organization’s risk profile and priorities, reducing the likelihood of a breach. User data access activity should be consistent across all environments.

Risk based analytics automation
  • Trust, but verify and track

    Database activity monitoring detects suspicious commands and access patterns. Businesses need to log historical records for future evaluation and auditing.

  • Prioritizing the handling of incidents is critical

    Even small improvements in accuracy can multiply incident response effectiveness. Automated prioritization of high-risk incidents allows security teams to stay focused.

  • Less noise, for more signal

    Context is essential to decision making. Effective data risk mitigation requires advanced security analytics to help security staff pivot from one issue to the next.

  • What happened and was it important?

    44% of companies are blind to data activity and need to see data across the entire enterprise to monitor which sensitive data is being used and accessed, and by whom.

Risk-based analytics and automation increase accuracy

Adopting a risk-based methodology to your digital protection allows evaluation of data according to your organization’s risk profile and priorities, reducing the likelihood of a breach. User data access activity should be consistent across all environments.

  • Trust, but verify and track

    Database activity monitoring detects suspicious commands and access patterns. Businesses need to log historical records for future evaluation and auditing.

  • Prioritizing the handling of incidents is critical

    Even small improvements in accuracy can multiply incident response effectiveness. Automated prioritization of high-risk incidents allows security teams to stay focused.

  • Less noise, for more signal

    Context is essential to decision making. Effective data risk mitigation requires advanced security analytics to help security staff pivot from one issue to the next.

  • What happened and was it important?

    44% of companies are blind to data activity and need to see data across the entire enterprise to monitor which sensitive data is being used and accessed, and by whom.

Automate discovery of non-compliant, risky, and malicious data access behavior anywhere

Analyze user behavior and data access activities to accurately identify threats. Quickly understand critical, high, medium and low incidents, the users associated with them, and the data accessed.

Answer prioritization challenges

Incidents are automatically assigned a risk score that includes sensitive data volume, privileged account, and prevalence.

Boost effectiveness and team confidence

Empower incident response teams through strong tools, and reduce repetitive tasks.

Simple risk indication

Threat intelligence platforms and SIEMs can leverage new data access behaviour context during event enrichment.

How Imperva helps against insider threats

Database Risk and Compliance

Database Risk and Compliance

Reduce exposure to insider threats by remediating vulnerabilities and protecting sensitive data.

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Data User Behavior Security Analytics 1

Data User Behavior Analytics

Detect compromised accounts and malicious insiders as soon as behavior changes.

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Cloud Data Security

Cloud Data Security

Prevent unwanted insider access to the data moved to the cloud.

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