PROOF OF VALUE

Preventing insider threats takes a lot more than just correlating network data. It requires the ability to analyze ‘whole person’ behavior over time and at machine scale — something existing detection systems and ‘big data’ analytics solutions don’t do well.

Haystax Technology invites you to experience the benefits of our pioneering model-driven analytics for insider threat mitigation through our Proof of Value Assessment. Using our flagship Constellation for Insider Threat product, we analyze the behavioral patterns of individuals using an organization’s existing data.

Haystax Proof of Value

Constellation for Insider Threat was designed from the ground up to overcome the drawbacks of many current SIEM/UBA systems, especially their tendency to generate distracting and analyst-intensive false positives. Key system features include:

• Assesses and monitors the trustworthiness of individuals, not just user activity on networks and devices
• Whole-person Bayesian model analyzes data from an array of sources to prioritize threats, not just generate alerts
• Simple and intuitive language mirrors current analyst terminologies and workflows
• Connector framework makes it easy to integrate data and existing detection systems quickly

Behind the analytics is a 700-node Bayesian inference network that pinpoints key risk indicators (KRIs) of potentially adverse behavior or activity. An analytics product that embraces this model-first ethos minimizes the noise and false positives of data-driven solutions, finds weak signals and unprecedented ‘black swan’ indicators and highlights an organization’s most important threats for a more rapid response — often detecting malicious, inadvertent or negligent behavior weeks or even months before an adverse event actually occurs.

Following the Proof of Value your organization will see firsthand how Bayesian modeling and artificial intelligence techniques — plus your own internal data sources — combine seamlessly to give you predictive, actionable intelligence on your highest-priority threats in real time.

What we will need from you:

1. Data for approximately 50,000 events over a period of three months using 100 individual profiles.
2. Data in CSV format from three of the eight data types listed below:
   • Data Loss Prevention
   • Badge In/Out
   • Print
   • Travel & Expenses
   • Personnel Records
   • Case & Investigations
   • Compliance Data
   • SIEM Alerts

What you will receive from Haystax:

By applying your data to the model, and employing other artificial intelligence techniques, Constellation for Insider Threat will generate the following assessment results:

• Rankings of trustworthiness across 100 profiles
• Summary of this group’s most predominant Key Risk Indicators
• Detailed analysis for every profile
• Identification of your highest-risk indicators
• Relative ranking of profiles based on indicators

No organization can afford to ignore the risk posed by insider threats. The financial, psychological, technological and reputational consequences are simply too high.

Whether you are a CISO, CSO or manager of a SOC, Haystax Technology’s Constellation for Insider Threat product can help you mitigate your most pressing insider threat challenges.

To learn more, or to request a Proof of Value, please fill out the form below.

I want Haystax to contact me for the Proof of Value

About Haystax Technology

Haystax Technology is a leading security analytics platform provider. Its platform delivers advanced security analytics and risk-management solutions that enable rapid understanding and response to virtually any type of cyber or physical threat. Based on a patented model-driven approach that applies multiple artificial intelligence techniques, it reasons like a team of expert analysts to detect complex threats and prioritize risks in real time at scale. Top federal government agencies and large commercial enterprises, as well as state and local public-safety organizations, rely on Haystax for more effective protection of their critical systems, data, facilities and people.