TechNet Cyber Supporting Partner Opportunities (Advertisements and Supporting Partner recognition does not imply federal endorsement.)

Stand Out in the Crowd! If branding, lead generation and market visibility are important to your organization, the supporting partner opportunities available at TechNet Cyber 2021 are exactly what you need. This event attracts over 4,000 cyber security professionals, who want to see the leading industry solutions, and take part in networking and business building opportunities.

Have an idea for a supporting partner opportunity you don't see listed below? Let us know! We are happy to discuss possibilities with you. Contact us today!

Branding Opportunities Deadline: October 1st
Patron Package and Individual Opportunities Deadline: October 15th


El Segundo,  CA 
United States
  • Booth: 2236

Gurucul helps enterprises protect themselves against cyber fraud, insider threats and external intruders on-premises and in the cloud. User behavior analytics and identity access intelligence from machine learning anomaly detection and predictive risk-scoring algorithms reduces the attack surface for accounts, unnecessary access rights, and to identify, predict and prevent breaches.

 Press Releases

  • Gurucul, in Unified Security and Risk Analytics technology for on-premises and the cloud, today announced that Gurucul will be presenting and demonstrating the company’s Insider Threat Solution and conducting briefings at AFCEA TechNet Cyber 2021.

    “The Insider Threat is a major cyber security challenge for many organizations. The increasing risk of insider threats is worsened with more employees working from home than ever before, using new applications and tools, and relying on cloud applications,” said Saryu Nayyar, CEO, Gurucul. “Insiders are already within the perimeter, past the firewalls and remote access controls, which makes them much harder to detect and prevent. Worse, a malicious insider already knows exactly where to find the most valuable information, so they can access the organization’s most sensitive data with little risk of being stopped or caught.”

    Gurucul Unified Security and Risk Analytics ingests and analyzes massive amounts of data from virtually any source, including network, IT systems, cloud platforms, applications, IoT, identity management solutions, and more. With the industry’s largest advanced machine learning model library, patented anomaly detection and predictive risk-scoring algorithms, Gurucul zeros in on abnormal behaviors and activities that are indicative of sabotage, data theft, and privilege abuse. Through real-time contextual, risk-prioritized alerts, Gurucul provides automated detection and mitigation.

    According to the 2021 Insider Threat Report conducted by Cybersecurity Insiders, 98 percent of organizations reported they are vulnerable to insider threats. In the last month alone, several high profile insider threat events made headlines, including:

    • A former lead scientist of glass manufacturer Corning was indicted for stealing trade secrets relating to a DARPA collaboration. The rogue employee exfiltrated critical business data and shared it with international competitors.
    • The Department of Justice announced criminal charges against 138 defendants, including 42 doctors, nurses, and other licensed medical professionals, in 31 federal districts across the United States for their alleged participation in healthcare fraud schemes. Approximately $1.1 billion in telemedicine fraud was committed, $29 million in COVID-19 health care fraud, $133 million in substance abuse treatment facilities fraud, and $160 million in other health care fraud and illegal opioid distribution schemes.
    • A threat actor bribed AT&T employees to install malware on the company’s internal network and has been sentenced to 12 years in prison after he illegally unlocked more than 1.9 million phones, causing the US telco losses in excess of $201 million. AT&T determined that the loss it suffered was because customers whose phones were unlocked failed to complete cellular phone payments.

    For briefing appointments at 2021 Counter-Insider Threat Symposium, contact


  • Gurucul Insider Threat Solution
    Gurucul monitors and analyzes massive amounts of data from a myriad of sources in real time using advanced machine learning models and data science to pinpoint threats from malicious insiders or external intruders using compromised credentials....

  • Gurucul Predicts, Detects, and Stops Insider Threats in Real-Time.
    The most effective way to detect insider threats, without generating high volumes of false positive alerts, is to create time-based behavioral baselines and continuously learn what is acceptable behavior in order to detect anomalies. Gurucul offers the largest library of pre-packaged machine learning models (2500+) including unsupervised, supervised, and deep learning algorithms. The models are pre-tuned to predict and detect insider threats aligned with specific use cases (e.g. privileged access abuse) and vertical industries. Gurucul gives security teams a contextual view, linking behavior baselines from disparate systems including HR records, accounts, activity, events, access repositories, and security alerts. Gurucul creates a baseline for the user and their dynamic peer groups, and new activities are compared to the baseline behaviors. If the behavior deviates from the baseline, it’s considered an outlier.

 Additional Info

First-Time Exhibitor: