Agentic Detection Engineering | Anvilogic
Anvilogic 8.0 is generally available
Detection engineering, reinvented.
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.
Threat Intelligence Report
CTI-2026-0715
Lunar Spider T1059.001 T1053.005
DETECT AGENT · BUILDING DETECTION
AVL_R1000 · Encoded PowerShell Command
✓ DEPLOYED
GATHER DATA edr_data
CODE BLOCK regexp_like(process, '-enc.*')
DEPLOY Splunk · Snowflake · Sentinel
LIBRARY
3,500+
Curated detections in the Library
MITRE
200+
MITRE ATT&CK techniques covered
DEPLOY
1-click
Deployment to SIEMs & Data Lakes
TUNE
80%
Less alert noise with continuous tuning
Blueprints
Attack Simulation Detection Engineering
Preview Blueprint
- Simulation Intake Pull completed test results and normalize into a queue…
- Detection Design Produce an atomic detection plan for each gap candidate…
- Query Authoring Bind data sources and hand off to search authoring agent…
- Detection Creation Convert each plan into a deployed detection…
Detection Agents
AI agents for every stage of detection engineering.
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.
- Start with pre-built workflows for threat intelligence, coverage analysis, attack simulation, and threat hunting
- Build your own workflows with Blueprints using drag-and-drop automation and built-in approval gates
- Automatically turn threat intelligence and simulation results into deployed detections
Maturity Scoring
Know where you're covered, and what's missing.
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.
- Build threat priorities from ATT&CK techniques and groups
- Continuously score coverage as your detections change
- Track detection validation efforts and prove coverage gains over time
68
MATURITY
Execution 84%
Persistence 71%
Command & Control 52%
ATT&CK Technique Coverage
Validated Deployed Gap
AVL_R10000v3 · latest
TEST DEPLOY
GATHER DATA get_data_edr
NORMALIZE map raw events → common schema
CODE BLOCK event_platform ilike '%Win%' and regexp_like(process, '.schtasks.', 'i')
POST EVENTS Splunk · Snowflake · Databricks
Detection-as-Code
Build once, deploy everywhere.
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.
- Track every change with version history, diffs, and rollback
- Deploy everywhere from a single workflow across SIEMs and data platforms
- Build faster with reusable, low-code detection components
Detection Library
Thousands of curated detections ready to deploy.
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.
- 3,500+ detections for any SIEM and Data Lake
- Every detection mapped to MITRE ATT&CK tactics and techniques
- New content weekly, driven by trending threat intelligence
Trending Topics
695 tracked · new detections weekly
- SAP npm Packages Backdoored in Shai-Hulud Campaign
- Detection Live Nation-State Actors Abuse ROADtools for Azure AD Privilege
- Detection Live Iran-Backed Hackers Execute Wiper Attack on MedTech
Threat Scenarios
Turn signals into attack stories.
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.
- Correlate endpoint, identity, cloud, and network activity
- Detect multi-stage attacks using ATT&CK-based behavioral analytics
- Surface one high-confidence detection instead of a flood of low-context alerts
Tuning
Tune noisy detections in minutes, not weeks.
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.
- Find noisy detections automatically
- Understand exactly how each recommendation reduces alert volume
- Apply tuning changes with one click, without rewriting detection logic
Tuning Insight · Medium Volume
Generated 4 hours ago
AVL_UC1116 · Executable Create Script Process
Total events: 3,908
Window: 7 days
Recommendation tunes out 936 events (23%) for this use case
Health Insight · Failed Execution
Use case that failed to run
AVL_UC1035 · Common Reconnaissance Commands
ERROR
Task 'AVL_R1122' failed to execute — STATEMENT_ERROR on line 8: SnowparkSQLException (1304)
Reason: The rule failed due to a syntax error in SQL compilation — the term 'LIMIT' was found in an unexpected location in the rule configuration.
Health Insights
Know the moment coverage breaks.
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.
- Continuously monitor deployed detections and data health
- Get instant alerts when pipelines, data feeds, or detections fail
- Fix issues faster with AI-powered root cause analysis
Customers
Trusted by security teams.
"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."
Roland Costea
CISO — Enterprise Cloud Services, SAP
"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%."
Prabhath Karanth
Global Head of Security & Trust, Greenlight
"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."
Guang Wang
Sr. Director of Security Operations, Alteryx