Stop fearing your raw log files.
Agentic AuditingLog-level auditing used to mean weeks of manual consulting and shipping massive, sensitive datasets to third parties. We productized the expertise of the industry's leading media forensics team into always-on auditing agents that live entirely inside your own environment.
The problem
Dashboards summarize. Logs reveal the truth.
For years, brand marketers have relied on aggregated dashboards. But aggregated data hides structural leaks, counterfeit supply, and complex invalid traffic.
The ultimate source of truth is the event-level log file, the receipt of the internet. Yet opening a file with 500 million rows is intimidating. It takes specialized data engineering and deep ad-tech forensics to know what to look for.
Processing capacity: billions of records a month, run where the data lives.
The historical friction
A powerful picture, hard to keep current.
A rigorous manual audit delivers a powerful point-in-time picture, and it takes real expertise to produce. The friction is logistical: engagements require packing and shipping billions of rows of sensitive data. Buyers want that same depth running continuously, between engagements.
The point-in-time engagement
- 01Deep, expert-led, and rigorous.
- 02Captures one moment in your supply.
- 03Repeating means moving sensitive data off-site again.
The always-on agent
- 01The same forensic logic, running continuously.
- 02Inside your own environment, no data leaves.
- 03Findings stay current between engagements.
Productized, not improvised
A decade of media forensics, trained into agents.
The agents you deploy are trained on the work of leading digital forensics experts, then run deterministic scripts against 100% of your log extracts.
How the agents work
Five stages, run autonomously on your logs.
Define the population
Agents autonomously define the relevant media population, enforcing strict device-type and creative-type intersections to isolate true CTV from non-video delivery.
Where did it run?
Agents parse device taxonomy, content application environments, network connection types, and geographic distributions.
Detect anomalies
Tracing supply mechanics, identity persistence, temporal clustering, and server origins to detect anomalies like SSAI spoofing and counterfeit supply.
Bounded findings
Agents group infractions by specific reason codes, such as duplicated impression IDs or datacenter attribution, to accurately scope financial exposure.
Actionable workflows
Output integrates into your investment workflow to execute reconciliations, demand vendor confirmations, and apply future controls.
Zero data movement
You own the agent and it runs inside your environment. Your log files never broadcast or ship to us.
The "water" framework
Inspect at the main, not at the sink.
We treat digital media supply like a water system. Instead of measuring waste after it comes out of the tap, the agents inspect the infrastructure across three privacy-durable signal domains, with no reliance on PII or cookies.
Device resolution
Validating whether a device is real, eligible, and accurately declared against vendor dictionaries.
Content transparency
Verifying publisher declarations and flagging anomalous clusters, like mobile games laundered into CTV buys.
Connection integrity
Analyzing IP reuse tiers and connection types to separate residential traffic from datacenter egress and proxy farms.
Unlike traditional audits, you never broadcast or copy your sensitive log files. The agent lives inside your own infrastructure, so you get depth and continuity without the data risk.
Bring the audit to your data.
Deploy an always-on auditing agent inside your own infrastructure, and hold SSPs, DSPs, and publishers accountable on your own logs.
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