TRACE is a cyber threat Intelligence framework which generates intelligence using decoy technology. The threat data is generated using multiple decoy sensors, which is then aggregated and analyzed at the centralized collector for providing actionable analytics and insights on the characteristics of the attacks detected. It is designed for security analysts and network administrators, helping them to improve the security posture of their networks by providing them threat event logs. The sensors are designed such that they can be placed in the DMZ or in the internal network of an organization and monitor the network activity and generate threat logs when an attack is detected.
reported by India in 2023.
in India from 2022.
Aadhar details leaked in India's ‘biggest’ data breach.
Security teams are alerted as soon as deception assets are accessed, allowing for a prompt response before any damage or loss occurs to real assets. This feature reduces the time it takes to detect attacks.
Deceives intruders in a public or private network to expose their presence. The decoys will act as a an additional layer of security when standard security measures fail to detect the breach.
Produce alerts that are both reliable and actionable. Deception technology is distinguished by its lack of false positives, enabling IT teams to have confidence that alerts triggered by deception indicates a genuine event and should be given top priority.
Provides easy to understand real-time Threat Intelligence Dashboard to enable security teams to obtain a clear understanding of the type and characteristics of an ongoing attack in their system, facilitating the strengthening of other defense measures.
Security teams can respond to potential threats before any damage or loss occurs as the system raises a flag as soon as deception assets are accessed, hereby reducing the time taken to detect attacks.
Create new signatures to catch even zero-day exploits before they can cause damage once DPI in the sensor data is activated.
Provides security team a clear, real-time view of exactly what is occurring within their environment.
Customize sensors for specific industries, like banking or healthcare, to deceive attackers effectively.
Reconfigure sensors effortlessly for domain transitions without external support.
Self-healing sensors withstand attacks and auto-update weekly for continuous protection.
Weekly auto-updates relieve organizations from manual update management hassles.
Deep Packet Inspection captures real-time data for precise attack analysis.
Processed honeynet data enables visualization and correlation with DPI insights for comprehensive threat understanding.