A safeguard layer between your workforce and GenAI tools

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In a world where data security should be paramount, we see breaches and data leaks becoming increasingly common, compromising trust in organizations to safeguard sensitive information. The reality is stark: even minimal combinations of seemingly benign data like ZIP codes, gender, and date of birth can uniquely identify individuals, making effective data protection more critical than ever. At MagicMirror, we believe that data privacy is a right, and the best way to protect it is by keeping sensitive information where it belongs—safe, secure, and internal.

In a world where data security should be paramount, we see breaches and data leaks becoming increasingly common, compromising trust in organizations to safeguard sensitive information. The reality is stark: even minimal combinations of seemingly benign data like ZIP codes, gender, and date of birth can uniquely identify individuals, making effective data protection more critical than ever. At MagicMirror, we believe that data privacy is a right, and the best way to protect it is by keeping sensitive information where it belongs—safe, secure, and internal.

1.
Trust must be rooted in transparency
The rise of AI and advanced machine learning models has made the problem more complex. Companies like Google, OpenAI, and Meta have built powerful technologies by leveraging vast amounts of data without clear consent, leaving behind a trail of ethical and legal concerns. Despite claims of "fair use," the lack of transparency around data sourcing only deepens mistrust. This rampant, unchecked data consumption demonstrates that the rules of data privacy are evolving too slowly for the pace of technological progress. We believe that trust must be rooted in transparency and accountability, not in obscure legal loopholes or half-measures.
2.
Security goes beyond compliance
Existing frameworks like SOC II are falling short. SOC II reports have become a checkbox exercise rather than a true reflection of security and privacy best practices. These audits, while valuable, often give a misleading sense of security. They provide only a snapshot in time and can be easily manipulated through narrow scoping, weak controls, or over-reliance on documentation without active enforcement. Many companies use these reports as a "trust stamp," not realizing that real security must go beyond compliance—it must live in the culture and day-to-day operations of the organization.
3.
Friction only exacerbates problems
But there’s more to this than flawed frameworks. Traditional data loss prevention (DLP) solutions further exacerbate the issue by creating friction in workflows, driving employees to find ways to bypass or avoid them. This leads to shadow IT, exposing companies to even more risk. Privacy and security cannot be achieved through disruption.  Tools that block access, interrupt productivity, or frustrate users don’t solve the problem—they only push it underground, making it even harder to detect and address.
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We envision a digital landscape where data privacy and productivity coexist seamlessly, empowering individuals and organizations to harness the full potential of technology without compromising security or trust.

We didn’t set out to build another intrusive security platform that obstructs progress. We understand that people are at the heart of every business, and effective data protection should not come at the expense of their productivity. Our mission is to create a security solution that is invisible yet powerful—one that enables teams to use the tools they need to work smarter, while ensuring that sensitive information remains secure and private.

We are dedicated to redefining what true data protection looks like in today’s world by focusing on proactive, adaptive solutions that prevent leaks before they occur. We seek to instill confidence and empower organizations to innovate without sacrificing privacy. By blending security seamlessly into workflows, we turn data protection from a burden into a competitive advantage.

We deserve better than "Your privacy is important to us" in
6-point font at the end of a 20-page policy. We deserve security that works for us, not against us. Our mission is to protect privacy, enable productivity, and build a future where trust is more than a promise—it’s a principle we stand by every day.

In a world where data security should be paramount, we see breaches and data leaks becoming increasingly common, compromising trust in organizations to safeguard sensitive information. The reality is stark: even minimal combinations of seemingly benign data like ZIP codes, gender, and date of birth can uniquely identify individuals, making effective data protection more critical than ever. At MagicMirror, we believe that data privacy is a right, and the best way to protect it is by keeping sensitive information where it belongs—safe, secure, and internal.

The rise of AI and advanced machine learning models has made the problem more complex. Companies like Google, OpenAI, and Meta have built powerful technologies by leveraging vast amounts of data without clear consent, leaving behind a trail of ethical and legal concerns. Despite claims of "fair use," the lack of transparency around data sourcing only deepens mistrust. This rampant, unchecked data consumption demonstrates that the rules of data privacy are evolving too slowly for the pace of technological progress. We believe that trust must be rooted in transparency and accountability, not in obscure legal loopholes or half-measures.
Existing frameworks like SOC II are falling short. SOC II reports have become a checkbox exercise rather than a true reflection of security and privacy best practices. These audits, while valuable, often give a misleading sense of security. They provide only a snapshot in time and can be easily manipulated through narrow scoping, weak controls, or over-reliance on documentation without active enforcement. Many companies use these reports as a "trust stamp," not realizing that real security must go beyond compliance—it must live in the culture and day-to-day operations of the organization.
But there’s more to this than flawed frameworks. Traditional data loss prevention (DLP) solutions further exacerbate the issue by creating friction in workflows, driving employees to find ways to bypass or avoid them. This leads to shadow IT, exposing companies to even more risk. Privacy and security cannot be achieved through disruption.  Tools that block access, interrupt productivity, or frustrate users don’t solve the problem—they only push it underground, making it even harder to detect and address.
star_icon

We envision a digital landscape where data privacy and productivity coexist seamlessly, empowering individuals and organizations to harness the full potential of technology without compromising security or trust.

We didn’t set out to build another intrusive security platform that obstructs progress. We understand that people are at the heart of every business, and effective data protection should not come at the expense of their productivity. Our mission is to create a security solution that is invisible yet powerful—one that enables teams to use the tools they need to work smarter, while ensuring that sensitive information remains secure and private.
We are dedicated to redefining what true data protection looks like in today’s world by focusing on proactive, adaptive solutions that prevent leaks before they occur. We seek to instill confidence and empower organizations to innovate without sacrificing privacy. By blending security seamlessly into workflows, we turn data protection from a burden into a competitive advantage.

We deserve better than "Your privacy is important to us" in
 6-point font at the end of a 20-page policy. We deserve security that works for us, not against us. Our mission is to protect privacy, enable productivity, and build a future where trust is more than a promise—it’s a principle we stand by every day.

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GenAI Security Platform

We are currently onboarding a few design partners. If you are looking to unleash the power of GenAI in your organization without compromising sensitive data, we want to talk to you.
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