TL;DR:
- NetRise introduces Trace, a revolutionary AI-powered solution for identifying and validating compromised software assets.
- Trace employs intent-driven searches, allowing users to search based on motives behind code and configurations, expanding the scope of detection.
- Michael Scott, CTO of NetRise, emphasizes the significance of Trace in enhancing product security and addressing issues in complex systems.
- Trace integrates AI-driven semantic search, supply chain analysis, and vulnerability validation, providing a unified solution.
- Key enhancements include AI-powered search, supply chain introspection, and LLM-based vulnerability discovery.
- Trace simplifies the detection of supply chain compromises targeting firmware and open-source software packages.
- It eliminates the need for repeated scans and offers a comprehensive view of threats across devices, firmware, and software packages.
Main AI News:
In the ever-evolving landscape of cybersecurity, NetRise has emerged as a pioneer with its latest offering, Trace. This groundbreaking solution, seamlessly integrated into the NetRise platform, leverages the power of artificial intelligence (AI) to identify and validate compromised and vulnerable third-party and proprietary software assets. With Trace, NetRise is rewriting the rules of vulnerability detection and validation, ushering in a new era of security.
What sets Trace apart is its revolutionary approach to searching for vulnerabilities. Unlike traditional methods that rely on specific code patterns or known vulnerabilities, Trace employs intent-driven searches. This means that users can now query the system based on the underlying motives or purposes behind the code and configurations that lead to vulnerabilities. In essence, it allows organizations to think like malicious actors or negligent developers, casting a wider net to capture a broader range of software packages, misconfigurations, and unidentified flaws.
The magic of Trace lies in its ability to highlight affected assets, files, and packages using natural language, mapping their intricate relationships across the entire software supply chain. All of this is achieved without the need for a scanning mechanism. It’s a game-changer in the world of cybersecurity.
Michael Scott, CTO and Chief Scientist of NetRise, emphasized the significance of this product release, especially in the context of identifying issues in XIoT devices and their components. He stated, “This product release represents a significant advancement in product security and streamlines the detection and resolution of issues in complex systems. Moreover, it changes how NetRise customers discover and address issues more generally, with AI as a key driver in process enhancements.”
Trace integrates AI-driven semantic search, supply chain impact analysis, and vulnerability validation, all powered by large language model (LLM) capabilities. This unified solution empowers organizations to detect both known and hidden threats in low-level firmware and other cyber-physical systems.
Key Enhancements and Capabilities of Trace in the NetRise Platform:
- AI-powered Search: Utilizes semantic and keyword-based search for all files, operating system configurations, and vulnerabilities across all assets using AI.
- Supply Chain Introspection & Origin Tracing: Allows users to discover and trace the origin of code and risk back to the third-party or proprietary software packages that introduced it across all assets.
- LLM-based Vulnerability Discovery & Validation: Identifies vulnerabilities and assesses their impact on the software supply chain using code-based or broad natural language queries, thus validating issues across an organization’s firmware, software, and cyber-physical systems.
With the increasing frequency of supply chain compromises targeting firmware and open-source software packages, Trace comes as a timely and indispensable solution. It addresses the complexity of analyzing device firmware and building artifacts, providing organizations with the ability to trace all impacted assets using a single query. This eliminates the need for repeated scans or asset reprocessing and is essential in discerning the extent of threats across devices, firmware, and software packages.
Conclusion:
NetRise’s Trace represents a pivotal development in the cybersecurity market. Its AI-driven approach to vulnerability detection and supply chain analysis sets a new standard for software asset security. Organizations now have a powerful tool to safeguard their digital assets, addressing the evolving landscape of cyber threats more effectively. This innovation underscores NetRise’s commitment to advancing security in the digital age, making Trace a game-changer in the market.
