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There is no evidence in the public pages cited here of a CogniGuard compliance failure or data breach. The clearest risk is that “CogniGuard” refers to several different properties with different data flows, and their public claims are not independent proof of security or regulatory compliance. Identify the exact product before deciding what data it handles.
Which CogniGuard product are you evaluating?
At least two AI-related offerings use the CogniGuard name, and a similarly named website publishes a separate privacy policy. Their claims should not be combined. The comparison below reflects the public pages as accessed on October 7, 2026; product details and availability can change.
| Property | What it says it does | Data flow and retention stated publicly | Evidence and status |
|---|---|---|---|
| CogniGuard AI — AgentMonitor | Records and replays AI-agent runs. | CogniGuard AI says the Free version stores records in local SQLite, with no signup or telemetry. Retention period: not stated on the product page. | Vendor claims; independent architecture or security validation is not provided on the page. The page labels AgentMonitor v0.1.1 live on PyPI at access. |
| CogniGuard AI — Safety Gate | A separate policy layer intended to block dangerous actions and data leaks. | Data flow and retention: not stated on the product page. | The page claims 528 automated tests, but does not provide their coverage, a test report, or independent validation. |
| Cogniguard multi-agent platform | Analyzes AI-to-AI communications and returns an allow/block verdict through an API. | Its example sends both message and context to api.cogniguard.ai/check. Retention period: not stated on the page. |
The page describes an early version and invites selected companies to try it in non-production workflows as design partners; production readiness is not established there. |
| cogniguard.com privacy policy | A website privacy policy, not documentation for either AI product above. | The policy describes website processing and names service providers and international transfers. It does not establish the AI products’ data flows or retention. | It names Neuromedical sp. z o.o., headquartered in Poland, as controller for the policy-covered site. |
The similarly named properties are not evidence of a shared operator or common privacy practices. In particular, the policy on cogniguard.com cannot be treated as the privacy notice for cogniguardai.com or cogniguard.crd.co without evidence connecting them.
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What information could AgentMonitor expose?
CogniGuard AI describes AgentMonitor as a “flight recorder” for AI agents. Its product page says it records prompts, tool calls, files touched, tokens, and costs, and allows users to replay or rewind runs. If prompts or tool-call records contain confidential or personal information, those records may be sensitive even when the software stores them on the same computer. Recording which files an agent touched is not, by itself, a claim that the tool copies the files’ contents.
CogniGuard AI’s FAQ says the Free version runs a local server at localhost:8765 and writes to a local SQLite database. It says: “Everything stays on your laptop. It runs a local server on localhost:8765 and writes to a local SQLite database. No cloud, no signup, no telemetry — by design.” That is the vendor’s description, not an independently verified network or code audit. The product page does not state a retention schedule or explain deletion, backups, access controls, encryption, or how records are handled by other versions.
Local storage can reduce exposure to a cloud service, but it does not answer every security question. A user still needs to consider who can access the device and database, whether the data is included in backups, and whether logs are later shared or exported. The public page does not settle those deployment-specific details.
Rank #2
Does CogniGuard monitor agents, block them, or do both?
AgentMonitor records activity
AgentMonitor’s described record-and-replay role is observational: it gives a user a history of agent runs. A record of an action can help with review, but logging alone does not show that the action was prevented.
Safety Gate is presented as a separate preventive control
CogniGuard AI presents its Safety Gate as a policy layer meant to block dangerous actions and data leaks. The same page’s claim of 528 automated tests does not establish what cases those tests cover, how much of the product they exercise, or whether the control meets a legal or industry standard. Do not treat the Safety Gate’s stated purpose as proof that every risky action will be blocked, or treat AgentMonitor’s logs as enforcement.
The other platform describes an API verdict
The separate cogniguard.crd.co page gives an example in which a message and its context are sent to an API for an allow/block decision. That is a different described data flow from AgentMonitor’s local-storage claim. The page does not state a retention schedule or provide enough information to establish production deployment readiness.
What does the public evidence establish about compliance?
A privacy or security feature is not the same thing as demonstrated compliance. The cited public pages do not provide an independent audit, regulator finding, court decision, security test report, or documented mapping of product controls to a named framework. They also do not establish a specific data leak or compliance failure. The founder of CogniGuard AI, Louisa Saburi, expresses the belief that “AI you can’t audit is AI you can’t trust — so I made auditing free”; that is her stated rationale, not an independent assessment.
Rank #4
For an organization, using an agent monitor or policy gate does not by itself transfer responsibility for compliance to the vendor. The organization must determine what data its agents process, which rules apply to its use, and whether its own configuration and contracts meet those obligations. The public pages cited here do not identify a specific legal or regulatory framework as mapped to either AI product’s controls.
What should you verify before using either AI product?
Ask the vendor or inspect the product’s documentation for the details that the public pages do not establish. Match the answers to the exact product, version, and deployment you plan to use.
- Identity: Confirm the legal entity operating the product, the product name, and which privacy notice and terms govern it. Do not assume similarly named websites share an operator.
- Data inventory: List the fields captured or transmitted, including prompts, tool calls, file metadata, credentials, and any context sent to an API. Confirm whether sensitive values are redacted before recording or transmission.
- Data path: For local software, verify network behavior and any optional export, update, or telemetry features. For an API service, establish the receiving entity, subprocessors, hosting locations, and whether payloads are logged.
- Retention and deletion: Get the retention period, deletion method, backup handling, and any distinction between a user deleting a local database and a provider deleting server-side records.
- Security evidence: Request relevant independent assessment reports, test scope and coverage, vulnerability-disclosure process, access-control details, and encryption practices. A raw automated-test count is not a substitute for those details.
- Compliance mapping: Ask which controls are mapped to the standards or laws relevant to your deployment, what evidence supports that mapping, and what obligations remain with your organization.
- Deployment and contract: Confirm whether the version is suitable for production, and review contractual terms for data use, incident notification, support, and responsibility. The separate multi-agent project page describes an early non-production design-partner phase.
CogniGuard AI’s product page listed Pro at $49 per developer per month but also said it was free during beta; pricing and availability are time-sensitive vendor statements, not confirmed contractual terms. The page described enterprise SSO, audit-log export, and on-prem deployment as contact-based options. Verify current availability and written terms directly before relying on those features.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
