Your AI does thousands of things a day.

One of them will be something it shouldn't. Aegara records every one, so you know which and when. Never the contents.

A day of questions, what each one actually did, and every dot is something an AI did.
Draft a reply to this support ticketREAD crm.tickets Summarize last quarter's board deckREAD drive.documents Who owns this account?READ crm.contacts Pull everything we have on this employeeREAD hr.compensation Clean up this spreadsheetTRANSFORM finance.forecast What is our refund policy?READ docs.policies Send this summary to the partner channelWRITE slack.external Find similar past incidentsREAD vector.incidents Remember this customer prefers emailSTORE memory.thread Compare these two candidatesREAD hr.applications Escalate this one to legalROUTE agent.legal Rewrite this in plainer languageTRANSFORM docs.draft

The red ones are worth a look.

Six things an AI can do.

Every action any AI system takes is one of six. That is the whole vocabulary, and it holds whether the work happens in OpenAI, Bedrock, a LangChain agent or something you wrote yourself.

CALL

It starts working.

Something invokes a model. Aegara records which one, which service asked for it, how many tokens it took and how long it ran. Not a word of the prompt.

READ

It reads your data.

The record holds the field names, never the values. email and plan are ordinary. This is an agent reading from a system it is meant to use.

READ

Then it reads something it should not.

A support agent reaching into salary_band is the moment worth catching, and the field name alone is enough to catch it. The number inside never left your environment, so there was nothing for us to see and nothing for us to lose.

TRANSFORM

It changes what it found.

Summaries, translations, reformatting, redaction. The record says a transformation happened and what went into it, which is how you tell a rewrite from a rewrite that quietly dropped a restriction.

STORE

It remembers.

Anything written to memory, a cache or a vector store outlives the conversation. Restricted data read once is an incident. Restricted data remembered is a standing one.

WRITE

It sends something out.

Files, emails, records, API calls, other agents. This is the only step where the data actually leaves, which is why it is the one you want a name and a timestamp on.

We never see your content.

No prompt, no response, no file and no value reaches Aegara. The record is built inside your own environment and only the record is sent.

Anything that reads a value runs on your side of the line. When our detectors inspect a field they do it inside your process, and what comes back is a verdict: which detector matched, on which field, how confident. The values stay with you.

On the record

  • Which AI system acted
  • Which of the six things it did
  • Which field names it touched
  • Which systems it contacted
  • Tokens, latency, timestamps

Never collected

  • Prompt text or instructions
  • Responses or generated text
  • File contents and documents
  • Values inside the fields
  • Conversation history

Then you open the one that matters.

The alarm is the product. The record behind it is the evidence, and it is waiting the moment you go looking.

trace 8f21c4 · support-agent1.84s
CALL Model invoked, gpt-4o0.00s
READ Four fields from the CRM0.12s
READ salary_band from the HR system0.31s Restricted. Nobody asked this agent to look there.
TRANSFORM Summarized the account into a reply1.05s
STORE Kept the thread in memory1.61s
WRITE Posted to a Slack channel outside the company1.84s Left the organization.

Find out what yours has been doing.

Auto-instrumentation for seven providers, thirty more through LangChain, and a direct API for everything else.

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