On air · 1 of 3 networks
Anvilogic
- anvilogic.com
- Cybersecurity
- US
- 109 employees
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| Network | Status | Live ads | Nov 2025LinkedIn activity · 52 weeksOct 2026 | Checked | Next step |
|---|---|---|---|---|---|
| Running | 226 | Checked 30 Oct 2026 | See all 226 ads → | ||
| Meta | Not checked | — | |||
| Recently | 45 | Ads on the Google Ads Transparency Center | Checked 3 Oct 2026 | Collect them with the API → |
Anvilogic has 226 live LinkedIn ads. We recorded 45 Google ads on 3 Oct 2026.
Latest ads
- LINKEDIN · VIDEORecorded 7 Sept 2026
Cribl x Anvilogic is a shared belief: that detection should be cleaner, smarter, and built around your data strategy. With Cribl streamlining the messiest parts of your pipeline and Anvilogic activating MITRE-mapped detections across lakes and SIEMs, security teams can finally: - Normalize once, detect everywhere - Slash alert fatigue without losing visibility - Turn dark data into real signal - Move from ingest to insight fast We’re building the AI-native SOC for the real world x hybrid reality. And it starts with better data, better logic, and better partners.
- LINKEDIN · VIDEORecorded 7 Sept 2026
New episode with returning guest & favorite CON partner Scott Rodgers has dropped🔥 Scotty and I talk highlights from the Mandiant (part of Google Cloud) M-Trends.... We cover: Stolen Creds leapfrogging 🐸 phishing The infostealer industrial complex The quiet death of BEACON (and what that means) F5’s nation-state saga (that happened post-M-Trends) Plus: scream therapy. I promise, it tracks. Register to be notified of every episode drop on 🔗 https://lnkd.in/gP3HJUQ7
- LINKEDIN · IMAGERecorded 7 Sept 2026
Today, we launch Anvilogic’s 𝗔𝗜 𝗦𝗢𝗖, an adaptive platform that meets you where you are, and finally lets you run detection and triage across all your data, in a single platform. We have always envisioned being a complete SOC platform and started building our foundation in detection engineering, which we knew would power the rest of the journey. And now, we are ready to launch into the next phase of our journey by extending our platform beyond detection engineering to an 𝗔𝗜 𝗦𝗢𝗖 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺, that extends into triage, investigation and automated response, powered by the principles that got us here: solid cybersecurity domain expertise, persona-specific workflows, context-rich transparency and a high bar for customer satisfaction. Our platform uses large language models (LLMs) in conjunction with your context via domain-infused prompts and rich enrichment feeds to search across data sources, build relevant/custom detections, raise actionable alerts, disposition them accurately, explain our reasoning, and move them downstream for resolution/action. All of this is accomplished using 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝘁𝗵𝗮𝘁 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗽𝗲𝗿𝘀𝗼𝗻𝗮 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗳𝗼𝗿 𝘀𝗲𝗮𝗿𝗰𝗵, 𝗱𝗲𝘁𝗲𝗰𝘁, 𝘁𝘂𝗻𝗲 𝗮𝗻𝗱 𝘁𝗿𝗶𝗮𝗴𝗲. The results are high-precision and actionable, with full context because of our upstream detection engineering capabilities tailored to your environment – with better data management and detection strategy comes highly effective triage and investigation. No more human L1, L2. Agents with human oversight can up the game. Elevate human analysts to richer tasks higher up the SOC stack. Summary of AI agents and platform capabilities we’re announcing today: 1. Search: across data repos using natural language, schema-aware and optimized 2. Build: detection-as-code, auto-deployed to your SIEM or data lake or both 3. Tune: continuous environment-aware auto-tuning of detections, with allow-listing 4. Triage: auto-triage alerts with rich context, high precision, guidance and explainability 5. Manage: simple data onboarding and auto-ETL/normalization across supported repos This isn’t just alert scoring using LLMs. An AI SOC platform means much more than that: its 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗦𝗢𝗖 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗵𝗮𝘁 𝗯𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗱𝗲𝘁𝗲𝗰𝘁 & 𝗿𝗲𝘀𝗽𝗼𝗻𝗱 𝘁𝗲𝗮𝗺𝘀 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿, 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘀𝗶𝗹𝗼𝘀 𝗮𝗻𝗱 𝗰𝗼𝗻𝗳𝗹𝗶𝗰𝘁, 𝗳𝗶𝗻𝗮𝗹𝗹𝘆. This is detections that work, and triage you can trust, because it’s grounded in the detection strategy that we designed for you, proven in enterprise environments across our customers worldwide. Read more on our new website: www.anvilogic.com. And see what our customers are saying.
- LINKEDIN · IMAGERecorded 7 Sept 2026
The SIEM landscape is shifting. Cloud adoption, modular architectures, and detection-first strategies are reshaping how security teams think about data, detection, and cost. Join Anvilogic at InfoSec World 2025 for: - The State of SIEM: Deployment Models, Detection Trends, and the New Decision Matrix Tuesday, Oct 28 | 1:30–2 PM | Coronado F Gain clarity on: • Modern deployment models — from centralized to cloud-native • How detection engineering is influencing SIEM architecture • What today’s buyers are prioritizing (and what they’re not)
- LINKEDIN · VIDEORecorded 7 Sept 2026
SIEM isn’t dead. It’s just… done. What comes next? Anvilogic. A detection and triage layer that decouples from storage, liberates your telemetry, and scales with your architecture, not your ingestion bill. We believe detection doesn’t belong to your SIEM anymore. It belongs to your data. Modern, cost-effective data lakes make that shift possible. Anvilogic makes it practical. Anvilogic's AI-Native SOC Platform: ✅ Works with your existing SIEM (or without one) ✅ Detects across data lakes, SIEMs, cloud, endpoint, identity ✅ Onboards fast, triages faster ✅ Cuts cost, not coverage See why enterprises are moving detection off the SIEM.
- LINKEDIN · VIDEORecorded 7 Sept 2026
SIEM isn’t dead. It’s just… done. What comes next? Anvilogic. A detection and triage layer that decouples from storage, liberates your telemetry, and scales with your architecture, not your ingestion bill. We believe detection doesn’t belong to your SIEM anymore. It belongs to your data. Modern, cost-effective data lakes make that shift possible. Anvilogic makes it practical. Anvilogic's AI-Native SOC Platform: ✅ Works with your existing SIEM (or without one) ✅ Detects across data lakes, SIEMs, cloud, endpoint, identity ✅ Onboards fast, triages faster ✅ Cuts cost, not coverage See why enterprises are moving detection off the SIEM.
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