Build, deploy, and maintain detections in minutes, not days. Anvilogic combines AI, Detection-as-Code, MITRE ATT&CK coverage, and a curated detection library to help your team scale detection engineering across every SIEM and data platform.
Turn threat intelligence into production-ready detections faster. Anvilogic combines AI agents with Blueprints to automate the work of researching threats, identifying coverage gaps, building detections, validating logic, and deploying changes across your environment. Start with prebuilt workflows or create your own without writing code.
Understand how your detection program stacks up against the threats that matter most. Anvilogic continuously measures your MITRE ATT&CK coverage, highlights gaps, and recommends what to build next, so your team can prioritize the work that has the biggest security impact.
Manage detections like software. Anvilogic brings version control, testing, and deployment into a single workflow, so your team can build detections faster, deploy them consistently across every environment, and confidently manage changes over time.
Don't start from scratch. Anvilogic Armory gives teams thousands of production-ready detections that are researched, tested, and continuously updated by the Anvilogic Purple Team. Deploy them across your environment, and spend more time improving coverage instead of writing every rule yourself.
A single alert rarely tells the whole story. Threat Scenarios correlate behaviors across your environment to reveal the full attack, giving analysts the context they need without piecing together dozens of disconnected events.
Every detection creates noise over time. Anvilogic continuously analyzes alert activity, identifies opportunities to reduce false positives, and recommends exactly how to tune detections without sacrificing coverage.
Silent detection failures are silent coverage gaps. Health Insights proactively monitors every deployed detection for execution status, data flow, and rule integrity. When issues arise, you get notified the moment something breaks, with an explanation of the root cause.
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The impacts that AI makes across the detection lifecycle, from tuning, to reducing false positives in alert monitoring, to leveraging a cost-effective lakehouse, fundamentally transform the detection engineering process.
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By using a detection engineering platform on top of our data lake, we are able to achieve some significant efficiencies in our overall SOC and IR operations, which can equate to cost savings of close to 70–80%.

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Anvilogic is the perfect solution because it doesn't depend on any specific underlying data lake or SIEM solution. It isolates and abstracts the layer of data storage down to the schema, so we don't have to worry about making a big decision for the underlying storage solution. Instead, we have the flexibility to plan for the future.
