this is what agentic privacy looks like
Chatbots answer questions. MCP servers expose tools. The DataShyre Agent Network does the work, turning insights to actions in real time.
Tour DataShyre Agent Network
Add embed URL to $data['hero']['demo_embed_url']
Add client logos to $data['logos']['items']
Add video embed URL to $data['intro']['video_embed_url']
DataShyre Agent Network: where privacy insight becomes action
Running a privacy program means constantly reconciling what regulations require of you, what your policies commit you to, and what your systems are actually doing. But most tools only consider one of these three categories.
The DataShyre Agent Network is the intelligent orchestration layer that powers every product in the platform. It reasons across all three data categories simultaneously, surfaces the gaps between them with rigorous prioritization, and executes the work to close them — with as few human hours as possible.
Get a DemoSEE your privacy program from every angle
Regulations tell you what's required. Your policies say what you've committed to. Your live systems show what's actually happening. The DataShyre Agent Network holds all three perspectives at once, and works in the space between them.
Laws, enforcement actions, and settlement terms — synthesized as they land, mapped to where you operate. The regulatory baseline every decision gets measured against.
Get a DemoAdd diagram screenshot for panel 1
The version of your program that exists on paper. Policies, compliance documentation, and stated commitments — what you've told the world you do with data.
Get a DemoAdd diagram screenshot for panel 2
Live activity across your applications, code, configurations, and data systems. The reality layer — what's collecting, what's flowing, what's firing, and what's leaving — whether anyone documented it or not.
Get a DemoAdd diagram screenshot for panel 3
Agentic data mapping
Build and maintain your data map automatically. The DataShyre Agent Network connects to your systems, reads your contracts, and documents your processing activities.
Add screenshot to $data['bucket_mapping']['image_url']
Always-on risk detection
Continuous comparison across your live configurations, your policy commitments, and current regulatory requirements. Exposure surfaces on your screen before it surfaces anywhere else.
Add screenshot to $data['bucket_risk']['image_url']
DataShyre is intelligent, automated and cost effective
Get a DemoPre-populated risk assessments
Imagine agents starting your next assessment for you. The DataShyre Agent Network pre-populates from live system data, routes what needs human input, and flags contradictions before you submit.
Add screenshot to $data['bucket_assessments']['image_url']
Ready to simplify your privacy compliance?
Get started.
Agentic Privacy FAQs
What is the DataShyre Agent Network?
The DataShyre Agent Network is the agentic privacy infrastructure built into the DataShyre platform. It orchestrates intelligent agents that observe your data, classify what matters, surface real risks, and execute remediation across consent, rights, assessments, data mapping, and CMP configuration.
How is the agent network different from a privacy chatbot?
A privacy chatbot does retrieval-augmented generation over your policy documents and answers questions — which is useful sometimes. The work still sits on your privacy team's desk. The DataShyre Agent Network is intelligent instrumentation of discrete tasks. The agents call deterministic tools — data classification, identity sync, rights orchestration, CMP configuration, risk prioritization — that act directly on your live systems and data. The agent decides what to do next; the tool actually does it. The output is finished work, not a transcript.
What tools does the agent network use?
The agent network includes deterministic tools across three layers. Discovery: data classification, structured and unstructured discovery, SaaS system discovery, code analysis, processing detection. Permissioning: consent orchestration, identity sync, rights orchestration, data formatter, report generation, CMP configuration, translation and theme generation. Risk: risk monitoring, risk prioritization, remediation generation, assessment template generation, question recommendation, employee intelligence graph, auto-population. Each tool already exists in the DataShyre product. The agent network is the orchestration layer that decides which tools to call, in what order, with what context.
How does the agent network handle a new privacy law going live?
When a new state law (or amendment to an existing one) is published, the agent reads the regulation and identifies the consent flows, opt-out mechanisms, and disclosure changes that are required. It configures the CMP, generates translated copy, and stages the change in your environment for privacy team review. Engineering does not get a ticket. The privacy team gets a draft to approve. The same pattern applies to GDPR member-state implementations, new state laws, and amendments to existing rules.
How does the agent network connect to systems beyond databases?
The SaaS system discovery tool connects to Workday, Jira, Salesforce, GitHub, and other applications where data and processing context actually live. This is critical because traditional data discovery tools only look at structured databases — they miss the workflow systems, ticket trackers, and HR platforms where the most consequential decisions about data are made. This connectivity also powers the employee intelligence graph: by understanding who works on what across your organization, the agent network can route the right assessment question to the right SME automatically.
How does the agent network handle sensitive data in DSR responses?
The data formatter tool produces a human-readable summary of the rights request, while the classification tool automatically filters sensitive and company-confidential information out of the response before it ever reaches the requester. You set the criteria and constraints. The agent applies them consistently. Tables where tables make sense, prose where prose makes sense, redaction where redaction is required.
What is the Permission Vault and how does it relate to the agent network?
The Permission Vault is the server-side, authoritative record of consent and preferences across systems. It captures permission events, context, audit logs, orchestration logs, identity resolution, real-time orchestration, and policy enforcement. The agent network reads from and writes to the Permission Vault. When the agent makes a decision about whether data can be used, processed, or shared, it consults the Vault. When the customer changes a preference, the agent propagates that change across every connected system.
What's the difference between the DataShyre Agent Network and AI Governance?
Two different problems, two different products. The DataShyre Agent Network is how DataShyre uses AI to help your privacy team manage their privacy program — automating discovery, permissioning, assessments, and remediation. AI Governance is how you use DataShyre to manage AI usage in your business — enforcing consent and rights signals at every model interaction, and producing audit trails for AI governance.
How do I get started with the DataShyre Agent Network?
The DataShyre Agent Network is available as part of the DataShyre platform. Request a demo and we will walk through the agent network capabilities in the context of your specific privacy program.