AI Security
ChartHop’s Commitment to AI Security, Transparency, and Trust

Even one AI misstep can erode trust. That’s why ChartHop AI safeguards your data with transparency and precise access control.

ChartHop’s Pillars of Secure, Responsible AI

Access Guard: Built-in Protection by Design

At the heart of our AI security architecture is Access Guard, ChartHop’s industry-leading access-control system. Access Guard ensures that every AI interaction respects the same permissions and visibility rules as the rest of the ChartHop platform. That means:

The AI only accesses data a user is authorized to see.
Sensitive information is automatically masked or omitted for unauthorized viewers.
Auditability of AI capabilities is provided that respects the privacy of individual users.

Access Guard brings real control to every AI-driven workflow:

Headcount planning: AI insights available to the creator are used to quickly generate headcount plans for review.
Compensation analysis: Sensitive pay data remains permission-locked, even when AI provides recommendations or summaries. Data collected and submitted during performance reviews can only be accessed by managers and appropriate parties.
Org insights and analytics: When analyzing structure or trends, Access Guard ensures visibility matches each leader’s scope.

Data Security & Privacy

ChartHop has taken an uncompromising stance on privacy and protection:

Zero data reuse – Your workforce information never leaves your ChartHop instance for model training. Your organization's data is never used to train AI models.
Encryption by default – All data is encrypted in transit and at rest.
Isolated model environments – Each customer’s AI interactions are securely contained, segmented, and logged for auditability.

3. Trust & Verification

We know that trust in AI is earned, not assumed. To ensure accuracy and accountability:

Every ChartHop AI answer includes clickable data tags that take users directly to the source data inside ChartHop.
Built-in hallucination guardrails reduce the risk of inaccurate or unsupported responses. Every response generates the appropriate view in Charthop, like a data sheet or chart. This enables users to verify insights in context and maintain full confidence in their analysis.
Admins have limited ability to monitor interactions to ensure responsible use and reinforce user confidence.

Transparency & Governance

ChartHop’s approach to transparency and governance ensures every AI decision can be traced, verified, and held to compliance standards.

Users can always see where insights come from and how data was used.
ChartHop provides auditability of AI usage while respecting privacy of individual users.
ChartHop follows recognized frameworks like SOC 2 Type II

Continuous Monitoring & Innovation

Our security and AI teams continuously test, monitor, and improve ChartHop AI:

Ongoing penetration testing.
Active monitoring for anomalies and misuse.
Continuous model evaluation to ensure fairness and data integrity.

FAQ

More questions? Let's chat.

Does ChartHop use my company data to train AI models?
How does Access Guard protect sensitive data?
Can we audit AI activity in our ChartHop environment?
What security standards does ChartHop meet?

See ChartHop’s Secure AI in Action

AI has the power to transform how People Ops teams plan, analyze, and act — but only if it’s built on trust. With ChartHop AI and Access Guard, you can harness that power confidently, knowing your people data is protected every step of the way.

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