AI & SaaS Intelligence

Monitor the AI platforms your product depends on

API terms change, rate limits shift, and data-handling policies update — and your product breaks or your compliance fails. ConductAtlas tracks policy changes across OpenAI, Anthropic, Google Gemini, AWS, and the AI ecosystem your stack is built on.

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352+ platforms monitored daily · Archived with cryptographic evidence · Governance diffs and version lineage

Monitored AI & SaaS Platforms

OpenAIAnthropicGoogle GeminiAWSGoogle CloudHugging FaceTogether AIPerplexity AIGroqFireworks AIMistralReplicateCursorVercel

Coverage expanding continuously · Request a platform

Governance changes affecting the AI services in your stack

ConductAtlas detects the API, data, and policy changes most founders miss until something breaks in production.

API Terms

API & Usage Terms

Changes to acceptable-use policies, output restrictions, and commercial-use terms that govern how you can ship AI features.

Rate Limits

Rate Limits & Quotas

Shifts in rate limits, tier requirements, and quota structures that can throttle or break your product at scale.

Data Handling

Data & Privacy Policies

Training-data usage, retention, and zero-retention terms that determine whether you stay compliant with your own customers.

Model Lifecycle

Model Deprecations

Deprecation notices and model sunset timelines that force migrations before your integration stops responding.

Pricing

Pricing & Billing Terms

Token pricing, minimum commitments, and billing-policy changes that reshape your unit economics overnight.

Compliance

Security & Compliance

DPA changes, sub-processor updates, and certification shifts that flow straight into your own SOC 2 and customer contracts.

A vendor policy change can break your product or your compliance

Your product is only as stable as the AI platforms underneath it. One quiet terms update can cascade into outages and contract breaches.

Integration breakage

A model deprecation or API change can break production with little notice. Migrations under deadline pressure are expensive and risky.

Typical deprecation window: 30–90 days

Compliance exposure

Data-handling or sub-processor changes upstream can put you out of compliance with your own customer DPAs without you knowing.

Sub-processor terms change quietly

Rate-limit surprises

Quota and rate-limit changes can throttle your product during your highest-traffic moments — exactly when you can least afford it.

Limits shift without prominent notice

Margin erosion

Token pricing and minimum-commitment changes flow directly into your cost of goods. A pricing shift can erase your margin.

Pricing pages update without changelogs

Real changes detected by ConductAtlas

Live intelligence from monitored platforms — not hypothetical examples.

Fireworks AI · Jul 8, 2026 High
Fireworks AI Terms of Service
The updated terms establish mandatory arbitration and eliminate class action and jury trial rights for all disputes, including claims that arose before users agreed to the revised terms. This fundamentally alters how disputes are resolved; users can no longer pursue claims in court or as part of a collective action, and must instead proceed through individual arbitration.
Fireworks AI's updated Terms of Service, detected on July 8, 2026, introduces two major dispute resolution mechanisms: mandatory individual arbitration for all disputes and a class action/jury trial waiver. The prior version (which appears to have been unreadable or unavailable in the…
all users
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Perplexity AI · Jul 5, 2026 Medium
Perplexity Privacy Policy
The updated privacy notice substantially expands transparency about data collection practices across Perplexity's service ecosystem, particularly for Comet browser and Email Assistant, while establishing clear contractual boundaries between consumer and enterprise data handling. The explicit statement that email content does not train AI models addresses a material practice question that many users likely have when considering Email Assistant adoption. The clarified processor role for enterprise customers affects how organizations must structure their own compliance obligations around Perplexity service use.
Perplexity AI updated its privacy policy on July 5, 2026, renaming it to 'Privacy Notice' and expanding the document from 322 sentences with 106 additions, 31 removals, and 167 modifications. The revised policy provides more detailed descriptions of data collection methods (direct, automatic,…
all userscomet browser usersemail assistant usersperplexity pro subscribers
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Google Gemini · Jul 1, 2026 Medium
Gemini Apps Privacy Notice
The updated privacy notice expands disclosure of how data flows through third-party integrations and explicitly warns of security risks associated with custom app connections. These changes materially affect user understanding of data exposure and control, particularly for users who connect external tools or services to Gemini, and may influence vendor risk assessment for organizations incorporating Gemini into their technology stacks.
Google updated its Gemini Apps Privacy Notice on July 1, 2026 to reflect expanded data collection and processing practices. The revised notice now explicitly discloses collection of data from third-party services connected through Model Context Protocol (MCP) server tools, adds a warning that…
all usersgemini app users
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OpenAI · May 28, 2026 High
OpenAI Enterprise Privacy
The updated terms establish that workspace administrators, not individual employees, control access to conversations and data retention periods within enterprise accounts. This represents a material shift in data governance authority that affects how enterprise customers must document employee monitoring practices and may create compliance implications under privacy regulations. The expanded retention exception also permits OpenAI to retain deleted conversations longer than previously stated, creating operational discretion that may complicate data deletion commitments.
OpenAI updated its Enterprise Privacy terms on May 28, 2026 to expand workspace admin authority over end user conversations. Previously, only end users could view their own conversations, and end users controlled retention decisions. The updated terms state that workspace admins can now view,…
enterprise customersworkspace administratorsend users in enterprise accounts
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Anthropic · Feb 27, 2026 High
Anthropic API Usage Policy
The Pentagon's formal supply chain risk designation under federal law creates a governance precedent in which acceptable use policy restrictions on sensitive military applications (autonomous weapons, mass surveillance) are treated as procurement risk factors that may restrict or condition federal contracting authority. This signals that AI governance frameworks are now explicitly linked to federal supply chain risk assessment and may affect vendor qualification for government contracts. Organizations that depend on federal procurement as a material revenue source or that embed AI services in government-facing products should evaluate whether the designation triggers new vendor management, customer disclosure, or procurement authority considerations.
The Pentagon has designated Anthropic as a supply chain risk to national security under 10 USC 3252 after the company refused to remove acceptable use policy restrictions that prohibit mass domestic surveillance and fully autonomous weapons. This designation appears in official U.S. Department…
all usersus government agenciesfederal contractorsdefense contractors
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Continuous policy surveillance infrastructure

Automated monitoring with archived evidence, structural diffs, and operational classification.

Capture

Daily snapshots

Automated pipeline captures policy documents daily. Snapshots archived with SHA-256 verification.

Detect

Structural diff

Provision-level diffs identify exactly what changed. Not page-level — clause-level detection.

Classify

Severity & impact

Each change classified by severity, direction, affected groups, and operational domain.

Alert

Operational intelligence

Structured alerts with governance analysis, available actions, and compliance implications.

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  • Monitor up to 25 platforms
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  • Basic workflow tracking
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Common questions

Which AI and SaaS platforms do you monitor?
We monitor OpenAI, Anthropic, Google Gemini, AWS, Google Cloud, Hugging Face, Together AI, Perplexity AI, Groq, Fireworks AI, Mistral, Replicate, Cursor, and Vercel, among others. Coverage expands continuously and you can request specific platforms.
What kinds of changes will I be alerted to?
API and usage-term revisions, rate-limit and quota changes, data-handling and training-data policy updates, model deprecations, pricing changes, and security/compliance updates such as DPA and sub-processor changes. Each change is classified by severity and operational impact.
Why does this matter for compliance?
When an upstream provider changes how it handles data or who its sub-processors are, that can put you out of compliance with the DPAs you signed with your own customers. ConductAtlas surfaces those upstream changes so you can update your posture before an audit does it for you.
How is this different from watching changelogs myself?
ConductAtlas identifies exactly what changed at the provision level, classifies severity, and archives every version with cryptographic evidence. Most policy and data-handling changes never appear in a public changelog — they land quietly in terms documents most teams never re-read.
Can I monitor platforms beyond AI vendors?
Yes. ConductAtlas monitors 352+ platforms across AI, cloud, payments, and developer infrastructure. You can add any monitored platform to your watchlist.

Know before a vendor change breaks your product.

Governance intelligence for AI and SaaS founders across OpenAI, Anthropic, Gemini, AWS, and the platforms your product depends on.

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Free: 3 platforms with weekly digest · Monitor: 25 platforms with real-time alerts