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Whizhack Revolutionizes Cybersecurity with Advanced TRACE Technology


In an era where cybersecurity threats are becoming increasingly sophisticated, Whizhack Technologies is at the forefront of innovation with its TRACE suite of products. By integrating Dynamic Intelligent Shifting Sensors (DISS), Whizhack has enhanced its capability to detect, predict, and neutralize cyber threats in real-time. In this interview with Sanjay Sengupta, Co-founder and CTO of Whizhack Technologies, we explore the transformative impact of DISS, the market response to this cutting-edge technology, and its potential to revolutionize cybersecurity for a wide range of industries.

1. How has the infusion of DISS empowered WhizHack’s TRACE suite of products?

The infusion of DISS (Dynamic Intelligent Shifting Sensors) has considerably enhanced WhizHack’s TRACE by improving threat detection, real-time monitoring, and adaptive decoy capabilities. TRACE predicts future assaults by the incidents detected on the honeynet sensor, thus anticipating similar attacks on the actual network within 2 to 48 hours. DISS constantly modifies the fingerprint of the sensor, making it difficult for attackers to identify the honey trap. Unlike static honeypot sensors, DISS-enabled sensors adapt to the type of attacks they are exposed to, thereby confusing opponents and disrupting future threats before they occur in the organization network. DISS operates discreetly within the network, enhancing overall security without being detected, delivering a proactive and adaptive layer of defense that dramatically boosts any organization’s cybersecurity posture.

2. What kind of response has WhizHack garnered with its DISS Powered TRACE product in the market?

WhizHack’s DISS-powered TRACE product has received a strong market reaction due to its novel approach to cybersecurity. TRACE’s ability to predict future attacks by matching incidents detected on the honeynet sensor with events predicted to occur on the actual network within 4 to 48 hours has been found to be very useful.

The dynamic nature of DISS, which constantly changes sensor attributes to confuse attackers and disrupt prospective threats, has resulted in the collection of targeted attacks with potential zero-day codes. This helps in the creation of tailor-made organization-specific AI models for zero-day threat detection. Furthermore, TRACE sensors’ unique self-healing and auto-updating features, along with deep packet inspection on live traffic, have increased unparalleled efficacy in speed and accuracy of advanced attack prediction.

3. What segment and size of companies have approached WhizHack to avail this version of TRACE?

WhizHack’s DISS-powered TRACE product has sparked interest from a wide range of businesses, including critical infrastructure and industries with rigorous cybersecurity requirements. This includes governments, financial organizations, healthcare providers, and other industries where protecting sensitive data and ensuring regulatory compliance are critical. These firms range in size from small to large corporations, and each seeks powerful cybersecurity solutions that are tailored to their individual demands and operational settings.

4.

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. Is the solution pricing competitive and deployment easy? Can SMEs avail this rehashed suite?

ZeroHack is a ‘Made in India’ award-winning* product portfolio, built in R&D partnership with multiple IITs. It is the most efficient and cost-effective product to serve different markets, ranging from enterprises and governments to SMEs. The solution offers unmatched scalability and flexibility of deployment.

*Runner-up award in DSCI (Data Security Council of India) FINSEC award, 2024

5. Without naming the players, can WhizHack share a real-life case study on how DISS mitigated a certain threat and the positive implications of it (the data saved/size of losses prevented etc.)?

WhizHack has conducted some path-breaking innovative implementations. In a recent case, a large consumer durable company was using TRACE to create fake servers that replicated key assets, attracting an attacker who attempted to exploit them. TRACE quickly discovered the intrusion and recorded full logs of the attacker’s actions, including efforts to exfiltrate data. This early notice, facilitated by TRACE’s ability to correlate incidents observed on the honeynet sensor, correctly predicted 12 hours before an impending attack, allowed the security team to swiftly isolate the affected systems, limiting future access to sensitive data. As a result, the business prevented potential data loss worth millions of dollars and reduced the risk of operational disruption, highlighting the significant benefits of implementing TRACE.

6. Given the current cybersecurity landscape in India, is DISS-enabled TRACE poised to compete with international companies and products? An overall outlook for this product with forward-looking statements.

Most of the available solutions for generating threat intelligence either provide local intelligence via the open source or proprietary threat feeds embedded with the monitoring services used for detecting the attacks happening at the decoy services, or they provide global intelligence by collating information about the threats reported at a global scale. These solutions fail to provide specific threat intelligence for the target environment, which contains the local intelligence in conjunction with the relevant information from specific global threat intelligence sources. TRACE solves this problem by providing local as well as specific global intelligence using threat feeds, since it also provides integrations for third-party threat feeds.

TRACE sensors’ self-healing and auto-updating characteristics provide ongoing protection while needing minimal maintenance and enhancing reliability. TRACE’s agility and scalability make it suited for a wide range of industries, including SMEs and large companies, allowing it to address a diverse set of cybersecurity requirements. As cybersecurity risks develop, TRACE’s innovative features and agility make it a competitive and forward-thinking solution in the worldwide market.

Looking ahead, WhizHack’s dedication to cross-leveraging sophisticated technologies such as DISS will help TRACE stay ahead of growing threats and evolving cybersecurity concerns. The real impact of TRACE lies in obtaining actual real-life attack data, which can be used by the cybersecurity community to develop effective AI-based solutions for the detection of zero-day attacks.