Mars Platform

Mars is an AI-driven threat hunting platform designed to operationalize real-world threat intelligence into continuous, campaign-focused detection across an organization's entire security stack. Instead of reacting to alerts or relying on static indicators, Mars ingests global threat intelligence, deconstructs it into attacker TTPs, and maps those behaviors to the organization's specific environment - including SIEM, EDR, identity, cloud, SaaS, and data lakes. This allows security teams to immediately understand which active threat campaigns are relevant to them and whether their current controls can actually detect those attacks. At its core, Mars unifies fragmented security telemetry using a federated search model and an OCSF- based semantic layer, enabling hunts and detections to run where the data already lives, without costly data movement. Mars automatically generates and tunes behavior-based detections and hunts tailored to the organization's schemas, tools, and available logs, while validating them against real telemetry. This closes common blind spots caused by missing data, stale rules, and inconsistent detection engineering, and dramatically reduces false positives associated with IOC-driven approaches. Mars also functions as a threat hunting co-pilot, combining AI agents with expert-validated logic to continuously hunt for stealthy, living-off-the-land and identity-based attacks that bypass traditional defenses. The platform provides clear visibility into detection coverage, MITRE ATT&CK alignment, and campaign-level risk, along with concrete guidance on how to improve security posture. The result is a proactive, measurable, and scalable threat hunting capability that enables small and mid-sized security teams to operate with the effectiveness of elite, well-resourced SOCs - without replacing their existing tools.