Mallory provides an AI‑native platform that continuously gathers global threat intelligence, maps it to an organization’s attack surface, and automatically prioritizes exposures based on real‑time adversary activity. By integrating with existing tools such as code repositories, cloud services, EDR, and SaaS, it generates actionable verdicts, creates tickets or remediation steps, and verifies that the exposure is eliminated, enabling security teams to respond at machine speed.
Funding
Funding not disclosed
Founders
Product
Problem
Security teams spend hours manually correlating threat intelligence with their own assets to determine exposure, leading to delayed responses and missed remediation opportunities. The volume of global adversary activity and the complexity of modern attack surfaces make timely, accurate exposure assessment difficult.
Solution
Mallory delivers an AI‑native threat and exposure management platform that continuously ingests live adversary activity from thousands of sources and maps it to a organization’s actual attack surface. By connecting to existing tools such as code repositories, cloud environments, EDR, and SaaS services, Mallory automatically determines whether a new threat affects the customer and ranks exposures based on real‑time attacker behavior. The platform then routes prioritized remediation work into tickets, detections, and automated workflows under the team’s policy guardrails, enabling analysts and agents to work on a single thread. Scheduled agents proactively scan repositories, supply chains, CI/CD pipelines, and other assets so exposures are identified and closed before the next campaign emerges. All verdicts are evidence‑backed, providing board‑ready answers in minutes.
Target Audience
Primary users are security operations, vulnerability management, and SOC teams at mid‑size to large enterprises that need rapid, context‑aware exposure assessment across cloud, code, and SaaS environments.
Features
- Continuous ingestion of global threat intel (open, commercial, underground) into a unified, provenance‑rich graph
- Real‑time correlation of threat data with the customer’s assets, code, and identity stores via native integrations
- Adversary‑weighted exposure ranking that prioritizes work based on what attackers are actively exploiting
- Automated routing of prioritized items into ticketing, SOAR, detection, and remediation systems with policy guardrails
- Agentic routines that regularly scan repos, supply‑chain components, and CI/CD pipelines for pre‑computed exposures
- Evidence‑based verdicts that cite source data, enabling defensible board presentations
- API and SDK access for custom integration, including entity lookup, observable lookup, and bulk export