Fingerprint trains specialized models to detect distinct fraud types

Fingerprint has launched Fraud Score, a predictive fraud signal trained directly on customers’ own fraud outcomes and powered by Fingerprint’s device intelligence and machine learning models. Fraud Score learns the fraud types at each organization to help them identify fraud more accurately without having to build and maintain their own models. Basic risk scoring can’t match the many types of fraud “Businesses today…

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Druva helps restore AI agents without rolling back entire environments

Druva has announced Druva Agent Recovery, a new set of AI Resilience capabilities that keep the business running by quickly restoring AI agents when they are deleted or unexpectedly changed. Support begins with Microsoft Copilot Studio, Microsoft’s platform for building custom AI agents. Announcement also expands protection across Microsoft Power Platform, adding Power Apps and Power Automate to existing Power BI sup…

Help Net Security

Orca Security adds visibility into AI-generated code and agent risks

Orca Security has announced new capabilities to help organizations discover and secure AI-generated applications and autonomous agents across their cloud environments. The expansion builds on Orca’s AI Security offering, enabling security teams to uncover previously unknown AI applications, assess the risks associated with autonomous agents, and gain deeper visibility into AI-generated code. AI is fundamentally chang…

Help Net Security

Obsidian expands AI agent security with runtime policy enforcement

Obsidian Security has announced its Runtime Policy Decision Engine, giving security teams centralized control over AI agent actions before they run. Building on Obsidian’s extensive AI agent discovery and governance coverage, the engine uses context about who is behind an agent, its access and the third-party applications involved to allow or block actions, or require human approval where supported. Context from your…

CSO Online

What will it take to make VulnOps a reality?

Just over a year ago, before advanced AI models began discovering software vulnerabilities at a nearly unmanageable scale in the so-called vulnpocalypse, three industry experts pioneered the concept of “VulnOps.” VulnOps, as envisioned by Heather Adkins, Gadi Evron, and Bruce Schneier, is a significant phase in the evolution of AI-assisted cyber defense in which vulnerability research and remediation would become sca…