LaunchDarkly announced the private preview of Warehouse Native Experimentation, its Snowflake Native App, to offer Data Warehouse Native Experimentation.
Traceable AI announced the launch of its digital fraud prevention capabilities, to deliver protection against fraudulent activities across APIs and digital interfaces.
This innovation is crucial, especially in the post-COVID era, as businesses continue to grapple with the high cost of fraud, both financially and reputationally.
Traceable's focus on API behavioral patterns, authentication, authorization, and understanding of vulnerabilities at the identity layer, provides a robust defense, detecting cybercriminals early, based on strong signals of anomalous behavior.
These capabilities are especially relevant to industries that are reliant on digital transactions and data exchange, such as financial services, healthcare, retail/e-commerce, telecommunications, and government. These sectors, where secure APIs are crucial and data protection is mandatory, can significantly augment their defenses and protect against fraud with Traceable’s new capabilities.
By integrating advanced fraud prevention capabilities within its API security platform, Traceable provides a holistic, in-depth, and adaptive approach to ensuring that organizations stop fraud in its tracks. This proactive approach empowers organizations to detect real-time digital fraud, as well as counter threats preemptively, thereby enhancing operational security and resilience, lowering risk, and eliminating the potential financial burden associated with fraudulent transactions.
Traceable deeply understands users and their behavior down to the minute details, constructing a unique 'fingerprint' from each user's identity, APIs’ call sequence, and sensitive data transmitted via API. This ability to recognize individual digital access, patterns, and behaviors, for users and entities, deepens the precision of threat and fraud prevention.
- ML-powered Threat and Fraud Prevention: Leveraging Graph Machine Learning, Traceable goes beyond basic threat detection, uncovering hidden correlations across various dimensions, such as endpoints, networks, applications, and APIs. It offers a holistic perspective of 'fraud rings', and the evolution of an attack. These capabilities give security teams unique insights for detecting and preventing threats and fraud, thereby enhancing response capabilities, and enabling automated prevention.
- Unique User and Entity Profiling: Using sophisticated API activity-based user behavior profiling, the system extracts both temporal and spatial patterns from each user's API call sequence to create a unique 'fingerprint' identifier that goes beyond traditional profiling methods and encompasses each user's individual habits, patterns, and behaviors. As a result, it significantly enhances the precision of threat detection and makes it possible to spot anomalous behavior that deviates from established user behavior patterns. By correlating across individual user “fingerprints,” Traceable can recognize broader, holistic patterns reflecting coordinated attacks orchestrated by entities such as fraud rings.
- Proactive Anomaly Detection: By leveraging these unique 'fingerprints,' Traceable can actively detect and uncover anomalies in user behavior, allowing organizations to act swiftly in mitigating potential threats before they can cause damage. Traceable continuously learns from each interaction, enhancing its precision over time, providing real-time defense against advanced persistent threats. Furthermore, Traceable can detect dormant accounts that cyber criminals intend to use sporadically and block them in-line or out of band early in the fraud activation cycle.
- Integrations with Leading Security Platforms: Traceable's Digital Fraud Prevention seamlessly integrates with leading platforms like Imperva, AWS, Cloudflare WAF, and Descope for authentication. These integrations enrich organizations' existing security frameworks, strengthening API threat protection, fraud prevention, and enhancing data security within their infrastructure.
"We built this solution in response to customer and market needs, pushing the limits of innovation to go beyond those expectations," said Sanjay Nagaraj, CTO of Traceable. "Our approach is far from static; it's dynamic and agile. We combat digital fraud and API abuse in a manner that is adaptive, continuously learning and evolving from each API interaction. We're not merely responding to threats and fraud, but anticipating them, providing organizations the upper hand in safeguarding their digital assets."
Industry News
SingleStore announced the launch of SingleStore Flow, a no-code solution designed to greatly simplify data migration and Change Data Capture (CDC).
ActiveState launched its Vulnerability Management as a Service (VMaas) offering to help organizations manage open source and accelerate secure software delivery.
Genkit for Node.js is now at version 1.0 and ready for production use.
JFrog signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS).
mabl launched of two new innovations, mabl Tools for Playwright and mabl GenAI Test Creation, expanding testing capabilities beyond the bounds of traditional QA teams.
Check Point® Software Technologies Ltd.(link is external) announced a strategic partnership with leading cloud security provider Wiz to address the growing challenges enterprises face securing hybrid cloud environments.
Jitterbit announced its latest AI-infused capabilities within the Harmony platform, advancing AI from low-code development to natural language processing (NLP).
Rancher Government Solutions (RGS) and Sequoia Holdings announced a strategic partnership to enhance software supply chain security, classified workload deployments, and Kubernetes management for the Department of Defense (DOD), Intelligence Community (IC), and federal civilian agencies.
Harness and Traceable have entered into a definitive merger agreement, creating an advanced AI-native DevSecOps platform.
Endor Labs announced a partnership with GitHub that makes it easier than ever for application security teams and developers to accurately identify and remediate the most serious security vulnerabilities—all without leaving GitHub.
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GitHub announced a wave of new features and enhancements to GitHub Copilot to streamline coding tasks based on an organization’s specific ways of working.
Mirantis launched k0rdent, an open-source Distributed Container Management Environment (DCME) that provides a single control point for cloud native applications – on-premises, on public clouds, at the edge – on any infrastructure, anywhere.
Hitachi Vantara announced a new co-engineered solution with Cisco designed for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes.