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  • Sanjay 

Shield Your Enterprise from Scam: How Assertion Secure Voice Stops Voice Attacks Dead in Their Tracks

The menace of scam and robocalls has intensified over the years, and they constitute an ever-increasing threat to businesses everywhere. Such unwanted calls interrupt work, can result in financial loss, damage brand value and adversely affect customer trust.   

Understanding the Threat: How Scam and Robo Calls Work  

Scam and robocalls are usually computerized systems that deliver prerecorded messages or connect, often by transferring a call, with everyone who answers the phone. They can range from a simple telemarketing call all the way up to an intricate plan designed to trick you into providing personal or financial information. One tactic employed by criminals is to spoof a number, making it appear as though the phone call is coming from a trustworthy number rather than the criminal’s real phone number.  

Assertion Secure Voice: A Multi-Layered Defense  

Assertion Secure Voice uses the power of advanced AI and machine learning algorithms to analyze incoming calls on various dimensions. We analyze a variety of characteristics of a call so that we can accurately detect if a call is suspicious and act accordingly.  

Parameter Deep Dives  

  • Calls from Numbers in FTC/FCC DB/Third-Party Databases: Assertion Secure Voice compares calling numbers with databases maintained by the Federal Trade Commission (FTC), Federal Communications Commission (FCC), and other reputable sources. Numbers identified as being associated with scam or robo calls are marked. Assertion AI cannot be corrupted by crowd input, because this forms just 1 of many inputs that the AI algorithm considers for computing the reputation.   
  • Calls Dropped by Enterprise Without Being Connected: If a high percentage of your calls are dropped before eventually reaching a live agent, alarm bell should be ringing. Assertion Secure Voice can analyze the rates at which calls are being dropped to bring out any future risks.  
  • Low Duration Calls: Robocalls are of very low duration as they deliver recorded message only. By checking duration of the call, Assertion Secure Voice can easily filter such type of calls.  
  • Parallel Calls: Automated dialing systems make more than one call at the same time frequently. Assertion Secure Voice can detect such parallel calling attempts.  
  • Number Walking: Sequentially calling multiple numbers within an enterprise. Assertion Secure Voice detects this and blocks further calls from the same caller ID.  
  • Assertion Red List: Assertion Secure Voice also maintains a red list of known scam numbers, leveraging global threat intelligence. Incoming calls matching numbers on the red list are flagged as high risk.  
  • IVR Attack: Fraudsters try to beat IVR system by using automation. Assertion Secure Voice identifies if the call flow with IVR deviates from normal because of IVR attacks.  
  • Far End Disconnects Once Human Voice is Detected: Directory scrubbing is the practice of using automated systems to call numbers to create a database of active lines. Assertion Secure Voice identifies calls when the far end disconnects as soon as it detects a human voice.  
  • High Fail Rate: If call failures are consistently high, it may indicate suspicious activity. Assertion Secure Voice tracks call delivery success rates to detect threats.  
  • Constant Duration Calls: Robocalls typically have the same call duration as they are automated. Assertion Secure Voice monitors for such anomalies by analyzing the variation in the call durations.  

Human Input and Continuous Learning  

Even with strong AI, human input is critical to improve accuracy in the system. Assertion Secure Voice collects user feedback to improve detection accuracy and enhance the system’s ability over time. By analyzing call dispositions and how users report scams, the system learns and adapts to the changing tactics of cybercriminals. 

Conclusion  

Assertion Secure Voice is a solid tool for businesses to eliminate the problem of scam and robocalls. The implementation of a robust, layered call defense solution with AI protects organizations from financial loss, reputation damage, and work interruptions. By investing in Assertion Secure Voice, companies are safeguarding their business and improving customer success.