Shadowwatch
A drop-in parallel monitor that sits next to any vendor AI dashboard and captures every input, output, and confidence score the vendor filters out — so you see the blind spots they don't.
IT operations and compliance leads at mid-market companies that have bought (or are evaluating) third-party AI monitoring or ops tools
- Mirror tap: copies the raw event/log stream before it reaches the vendor's confidence filter
- Side-by-side dashboard comparing raw signal vs vendor's filtered output, including a histogram of suppressed events
- Threshold-drift alerts when the vendor's confidence ceiling hides a rising share of anomalies
- Weekly "blind spot" report formatted for compliance review and board-level AI governance
The Stratagems story (40 reactions on Dev.to) is a fictionalized version of a real pattern already showing up in enterprise AI contracts — seven-figure deals being signed on dashboards that quietly suppress anything below a confidence threshold — and there is no off-the-shelf tool that audits a vendor's filter layer
Shadow AI and third-party AI vendor risk are real enterprise pain points — CSA reports avg enterprise has 1,200 unauthorized apps and only 47% of 490 SaaS apps are authorized, but the specific 'capture the inputs/outputs a vendor dashboard hides' angle is a narrow technical niche layered on top of that broader need.Shadow AI Apps: The Enterprise Attack Surface That Outpaces Monitoring ↗AI Third-Party Risk Management & Monitoring Software | Kovrr ↗
Crowded adjacent space: at least 9 funded AI observability platforms (Langfuse, Helicone, Arize Phoenix, LangSmith, Datadog, Maxim, Braintrust, AgentOps, Lunary) plus dedicated vendor risk tools (Kovrr, DAIScore, Hunto, Goethena) — none literally 'sniffs a vendor's filtered layer,' but buyers already route this concern through existing observability/governance vendors.9 AI Observability Platforms Compared: Phoenix, LangSmith, Langfuse ↗5 AI Observability Platforms Compared: Maxim AI, Arize, Helicone, Braintrust, Langfuse ↗
Observability pricing spans $0 to $100k+/year and vendor risk platforms clearly monetize, but the 'audit a vendor you already paid for' positioning pits Shadowwatch against the very vendor whose contract you signed — a hard sale that limits ACVs vs. additive tooling.9 AI Observability Platforms Compared: Phoenix, LangSmith, Langfuse ↗Vendor Risk Management Platform | Continuous Third-Party Risk ↗
Regulatory tailwind is strong and durable: EU AI Act, state-level US laws (CA, IL, CO, NYC, TX) holding employers liable for third-party AI tools, plus continuous-monitoring displacing one-time vendor audits.How to Audit Your AI Vendors: A Practical Guide to Third-Party Risk ↗Building Enterprise AI Governance When Standards Do Not Exist ↗
'Drop-in parallel monitor' across arbitrary vendor dashboards is technically brutal: each vendor exposes different APIs, UIs, websockets, and rate limits; reconstructing suppressed confidence scores requires either MITM proxies, browser extensions, or deep per-vendor integrations — meaningfully harder than the in-app observability tools already shipping.