Fraud Detection

Revolutionizing endpoint security with real-time fraud detection

Employee fraud accounts for $42 billion dollars of losses globally per year

Insider fraud accounts for 70% of successful cyber attacks inside organizations.

Across the globe, 55% of organizations expect an increase in fraud over the next 2 years

Setting the Standard for Fraud Detection

Insider fraud poses a growing and critical threat to organizations, leading to financial losses, reputational damage, and legal repercussions. Detecting fraud from within the company’s own walls requires innovative solutions, and innerActiv’s Fraud RiskSensors deliver exactly that. By monitoring how users interact with critical applications and resources, these advanced sensors use tailored data and parameters to identify suspicious behavior in real time, providing organizations with a proactive and highly effective defense against insider threats. With this cutting-edge technology, businesses can stay one step ahead, safeguarding their operations and reputation.

Fraud Within Page and Data Fields

Detects conditions within applications that indicate fraud or inappropriate use. Detection includes the state and values of fields or actions within the active window or application pages.

Real-Time Detection and Interdiction

Detections are made in real-time and can include responses such as suspension of processes, warnings to the end user, and collection of critical evidence such as securely redacted screen captures.

Application Agnostic Detection

Target and detect potential fraud or abnormal patterns across applications including browser-based applications, proprietary applications, thin clients, or Virtual Machine players.

Suspicious Logins

Detect suspicious logins in use or suspicious login patterns across applications and web portals.

Why is internal fraud such a challenge?

It’s about the data!

According to the Association of Certified Fraud Examiners, 91% of organizations say they lack the appropriate data to tackle internal fraud.

innerActiv solves the data challenge with real-time fraud detection!

Access the most extensive endpoint data set, designed to detect fraud from various sources. By analyzing activity, tracking processes, and reviewing data usage statistics, you'll get the most reliable indicators of risk and potential fraud alerts.

Data Access

  • identify files accessed by any user, even privileged users

  • Alert on abnormal access patterns

  • Track data types viewed

  • Alert on high-frequency data access to sensitive resouces

User Activity

  • Alert on abnormal shifts in workflow patterns

  • Track active daily time, hosts accessed, and workflow patterns

  • Identify access to unapproved assets or cloud resources

  • Alert on high risk communications

Screen Analysis

  • Identify on-screen actions that could indicate fraud

  • Alert on actions taken inside remote or thin client windows

  • View screen content at a single point in time or a periodic basis for threat analysis and forensics

Process Metrics

  • Track applications and processes in use on any machine at any time

  • Identify new or unknown processes

  • Alert when high-risk data interacts with processes

  • Automatically terminate high-risk processes