tenex.ai valid
TENEX.ai
TENEX.ai delivers agentic, human-led security operations. AI agents investigate 100% of in-scope alerts inside the customer's existing Google SecOps or Microsoft Sentinel environment and hand a complete, disposition-ready case to a human analyst in under one minute. Customers choose how much of the SOC to keep: Optimize, Overwatch, or fully managed Agentic MDR.
- Authority
- 48 reach 7 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://tenex.ai/llms.txt
- Sections
- 10
- Links
- 109
- Size
- 13847 bytes
- Popularity rank
- #477023
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-19T10:43:34.556Z
- Last checked
- 2026-10-25T22:54:35.506Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T22:54:35.012Z. Cached copy · Source on tenex.ai
# TENEX.ai
> TENEX.ai delivers agentic, human-led security operations. AI agents investigate 100% of in-scope alerts inside the customer's existing Google SecOps or Microsoft Sentinel environment and hand a complete, disposition-ready case to a human analyst in under one minute. Customers choose how much of the SOC to keep: Optimize, Overwatch, or fully managed Agentic MDR.
Key facts:
- Runs natively on Google SecOps and Microsoft Sentinel. Connects to other major SIEMs via API.
- 100% alert coverage. Nothing is sampled. 100% of critical decisions are made by humans.
- Under one minute from alert to triaged case. 98% false positive reduction. 6.2x analyst efficiency.
- Live in as little as 7 days for customers with an active Google SecOps or Microsoft Sentinel deployment. New SIEM implementations and migrations take longer.
- Customer telemetry stays in the customer's environment. Every piece of evidence and every decision is auditable.
- Founding engineers built Google Chronicle (now Google SecOps). Eric Foster is Founder and CEO.
- Headquartered in Sarasota, FL, with operations in Overland Park, KS and Phoenix, AZ, and engineering in San Jose, CA.
- Backed by Crosspoint Capital, Shield Capital, DTCP, Deepwork Capital, Florida Opportunity Fund, and a16z.
- Named #1 on the IT-Harvest 2026 Cyber 150. Google Cloud SecOps partner, Wiz partner, Agentic SOC Alliance member, and Official Cybersecurity Partner of the Kansas City Chiefs.
## Agentic SecOps
- [Agentic SecOps overview](https://tenex.ai/agentic-secops): How TENEX.ai runs AI agent swarms in a continuous loop inside the SIEM you already own, with humans making the calls that matter.
- [Agentic MDR](https://tenex.ai/agentic-secops/agentic-mdr): Fully managed option. TENEX.ai runs the SOC 24x7 with contractual SLOs, premium support, and an included incident response retainer.
- [Overwatch](https://tenex.ai/agentic-secops/overwatch): For teams that keep their own SOC. The customer owns the alert queue and TENEX.ai experts and agents back them up.
- [Optimize](https://tenex.ai/agentic-secops/optimize): Implementation, tuning, detection engineering, and threat hunting for existing Google SecOps or Microsoft Sentinel deployments.
- [Pricing](https://tenex.ai/pricing): Compares the three deployment models. All run on the same agentic platform with 100% alert coverage.
- [Interactive demo](https://tenex.ai/demo): Self-guided demo of the TENEX.ai platform.
- [7 Day Challenge](https://tenex.ai/challenge): Go live on agentic security operations in 7 days.
- [MDR evaluation guide](https://tenex.ai/mdr-evaluation-guide): Criteria for evaluating managed detection and response providers.
- [Operationalize AI](https://tenex.ai/operationalize-ai): How to put AI to work inside an existing security operation.
- [Industry analysis](https://tenex.ai/industry-analysis): TENEX.ai analysis of the security operations market.
## Company
- [Company](https://tenex.ai/company): Mission, leadership, offices, and inv
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
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