Mallory Enhances Security Ops with Threat Intelligence

Security teams are overwhelmed by a constant flood of alerts, often struggling to move from reactive firefighting to proactive defense. Mallory’s new platform directly addresses this challenge by transforming raw threat data into actionable intelligence. This AI-native threat intelligence platform is designed to answer the critical questions security leaders face daily: identifying the specific threats targeting their organization, pinpointing what is currently exploitable in their environment, and providing clear guidance on what to fix first.

The core problem is one of signal versus noise. While Security Operations Centers (SOCs) are built to handle alerts, teams frequently find themselves chasing false positives or minor issues instead of focusing on genuine business risk. Mallory’s system monitors thousands of sources but goes far beyond simple aggregation. It contextualizes threat data against an organization’s unique attack surface, correlating external threats with internal vulnerabilities to determine actual exposure. The output is not another overwhelming feed, but a prioritized list of evidence-based cases ready for immediate action.

“Attackers now leverage AI to operate with unprecedented speed and sophistication. Defenders must keep pace,” states Mallory founder and CEO Jonathan Cran. “Teams don’t need more alerts. They need clear answers: what can attackers actually do, are our controls effective, and what is exploitable right now?” The platform integrates with existing security tools. When a new vulnerability emerges, it analyzes not just the flaw itself, but tracks active exploitation in the wild, assesses whether the organization is truly at risk, and provides specific remediation steps.

This focus on actionable intelligence translates directly into operational efficiency. “When a major alert breaks, I need to know in minutes if we’re impacted,” explains John Sapp, CISO of Texas Mutual Insurance. “Mallory delivers the necessary context to investigate at the speed required in today’s landscape.” Built by veteran security practitioners, the platform emphasizes flexibility, offering native support for Claude Code, MCP, and robust APIs alongside a modern interface. This allows teams to integrate, automate, and extend its capabilities to fit their specific workflows.

The shift Mallory represents is fundamental. “Traditional threat intelligence was built for human-speed analysis,” notes Dan Nguyen-Huu, a partner at lead investor Decibel Partners. “With adversarial AI agents in play, the problem is no longer a lack of data, but a crisis of context and reasoning. Mallory solves this by connecting real-time threat activity to an organization’s environment and processing it for relevance at agentic speed.” The company recently announced a seed funding round led by Decibel, with participation from Live Oak Venture Partners and angel investors from companies like Google, Cisco, and Robinhood.

Available immediately as a SaaS platform, Mallory aims to turn intelligence into a direct driver of security posture, helping teams transition from being perpetually behind to strategically ahead of threats.