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Surface and prioritize threats that matter
McAfee Behavioral Analytics surfaces unusual and highly risky behavior often invisible to other security solutions.
The power to see the threat inside
Identify insider threats and external threats that look like insider threats. Big data security analytics and unsupervised machine learning surface unusual and highly risky behavior. Principled math accurately detects, connects, and quantifies high-risk behaviors.
Understand the greatest threat
Distill billions of security events down to hundreds of anomalies and a handful of prioritized threat leads. Analysts will understand what the greatest threat is and know where to start. Accelerate threat detection and resolution with accurate leads and fewer false positives.
Empower your security team
Security practitioners can see prioritized risk scores of any entity and drill down to learn why a user’s or an entity’s characteristics, usage patterns, and behaviors are deemed high risk. What used to take days or months, can now take only minutes.
Data in. Intelligence out.
A scalable, big data platform
Combine an advanced analytics engine with open source, big data technology components for scale, efficiency, and speed. McAfee Behavioral Analytics easily scales from small deployments to the largest, most sophisticated environments. Deployment options for on premise, in the cloud, or hybrid.
Extensible security analytics
Support multiple use cases out of the box, including insider threats, targeted attacks, and fraud. Since use cases can change in an instant, all models only require supporting data to be fed into the engine for it to fire, increasing value over time as your needs change.
Maximize existing security investments
Integration with multiple data sources, including McAfee ESM and third-party SIEMs, increase the visibility of the threat landscape and attack surface. McAfee Behavioral Analytics is designed to work within a cohesive system where prioritized risks are easily shared, collectively enhancing security across your ecosystem.
McAfee Behavioral Analytics supports broad use cases, helping you detect behavior and malicious activity that can put your data and systems at risk.
Unauthorized account usage by anyone other than the account holder (spearfishing).
An employee uses their credentials to access information they have no valid reason to access.
Stockpiling or packaging data for exfiltration.
A machine with malicious software executes actions to benefit the attacker or compromise the user or machine.
Ensure devices fall within the various compliance and regulatory frameworks, including HIPAA, FA, PCI DSS, and NERC CIP.
The use of insider privileged access credentials for illegal personal use or profit.
An internal or external attacker explores an environment to identify assets and next moves.
An internal or external attacker accesses specific systems to acquire or destroy assets.
McAfee Behavioral Analytics can be deployed across various types of infrastructure, so you can select the deployment configuration that aligns with your enterprise architecture strategy.
Learn more about McAfee Behavioral Analytics
Learn more about the built-in use cases that can alert you to high-risk behaviors in your environment.
This guide breaks down how AI functions, the strengths and limitations of various types of machine learning, and its evolution. It also explores how AI-enabled security analytics can help protect enterprises from today’s complex cybersecurity threats.
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