Use Case

Threat intelligence enforcement

Identify zero-day indicators of attack from any one vector, and then mobilize threat remediation to the rest of the security stack automatically.

The Challenge

Real time coordinated response against threats.

Minimize your MTTR By leveraging Veriti’s threat intelligence enforcement

Automated Analysis

Automatically detect and generate additional indicators of a known attack from the organization’s traffic to reduce the workload on security analysts.

Just-in-time Response

Respond fast and effectively to zero-day attacks by automatically identifying and validating attack indicators and distributing them across security solutions to stop any additional attack attempts.

Cross-Stack Coordination

A centralized platform for coordinating a consistent response across different security solutions and teams, ensuring effective collaboration.

features

Automated detection of malicious indicators

Machine learning-based analysis and generation of additional IoA indicators curated from the organization’s traffic.

Sharing internal threat intelligence across security solutions

Consolidates threat indicators obtained from the organization’s own network traffic and distributes it to all deployed security solutions.

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Frequently asked questions

What are indicators-of-Compromise (IoC)?

Indicators of Compromise (IOCs) are pieces of information that suggest a security breach or malicious activity on a system. IOCs include file hashes, IP addresses, domain names, and other characteristics typically associated with malicious activity. Security teams use IOCs to detect and respond to incidents and proactively search for threats within their networks.

What are zero-day indicators of attack (IoA) and how can they be identified?

Indicators of Attack (IoAs) are patterns of activity that suggest a potential security breach or malicious activity on a system. Unlike IOCs, which rely on specific data points or characteristics to detect threats, IoAs focus on the behavior or actions taken by an attacker. IoAs can include actions like privilege escalation, lateral movement within a network, or attempts to exfiltrate data.

What is the difference between zero-day protection and traditional signature-based detection?

Signature-based detection relies on a database of known threat signatures to identify and block malicious activity. This approach is effective against known threats but may not detect new or evolving threats. In contrast, zero-day protection identifies and blocks unknown or previously unseen threats. This approach utilizes advanced technologies such as behavioral analysis, artificial intelligence, and machine learning to detect anomalous activity and potential indicators of attack.

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Threat intelligence enforcement

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