Protect sensitive data wherever people, applications, clouds, and AI put it to work.
Turn discovery, classification, access, inline controls, posture, workflow, and remediation into a practical data-security program.
Bring discovery, policy, and protection into one program.
Engagements can connect data classification and policy across web, SaaS, endpoints, email, cloud applications, data stores, and AI usage, based on the customer’s licensed capabilities.
- Discover and classifyDefine sensitive-data objectives, dictionaries, classifiers, labels, and validation data.
- Design policyTranslate business and compliance requirements into monitor, coach, isolate, or enforce decisions.
- OperationalizeEstablish workflow, ownership, exception handling, tuning, and evidence review.
Find where sensitive data lives and why it is exposed.
Use DSPM to discover and classify sensitive data, understand access and posture context, prioritize risk, and connect findings to customer-owned remediation workflows.
- ReadinessConfirm supported data stores, access model, identities, ownership, and remediation boundaries.
- DiscoveryEstablish scanning, classification, exposure analysis, and validation.
- Remediation planningPrioritize findings while preserving the customer’s change control and application ownership.
Enable AI without losing visibility into applications, access, and data.
Scope discovery and governance across public GenAI, embedded AI, developer tools, models, agents, APIs, and the data paths that connect them.
- Discover AI useIdentify applications, users, assets, and flows that need policy and ownership.
- Control access and contentApply role-aware access, coaching, content controls, and data protection where licensed.
- Protect AI applicationsEvaluate access, testing, guardrail, API, model, and agent requirements before design.
Deploy runtime guardrails for prompts, responses, users, and AI applications.
SecureDynamics can design and deploy AI Guard across its supported proxy, Detection as a Service, and ZIA-integrated patterns, with policy, testing, logging, and operational ownership built into the engagement.
- Choose the deployment patternAlign user, application, inline, API, and hybrid requirements to the supported architecture.
- Build and test policyConfigure detectors and enforcement for prompt injection, jailbreaks, sensitive data, content, and business guardrails.
- OperationalizeEstablish dashboards, incidents, log export, tuning, roles, and ongoing review.
DLP, CASB, SaaS security, Endpoint DLP, DSPM, and AI controls need shared policy logic.
SecureDynamics helps establish the classification, personas, channels, enforcement phases, exception process, incident workflow, and measurement plan that connect product features to operating outcomes.