AI on the Move: Brain Corp Sets Security Standard for Enterprise Robots

SAN DIEGO, CA – April 16, 2026 – As artificial intelligence moves from our screens into the physical world, the conversation is rapidly shifting from proving the technology works to ensuring it can be trusted at an enterprise scale. Brain Corp, a San Diego-based AI company, today announced a significant step in that direction: its BrainOS® platform has successfully completed a SOC 2 Type II examination, signaling a new benchmark for security and governance in the world of autonomous robotics.

The certification comes as Brain Corp's platform already powers more than 40,000 autonomous mobile robots (AMRs) in commercial spaces across six continents. These robots, performing tasks from floor cleaning in retail stores to inventory scanning in warehouses, operate alongside employees and customers, making data security and operational integrity paramount. Achieving SOC 2 Type II compliance, a rigorous and independent audit of how a company secures data and operates its systems over time, addresses the growing demand from enterprises and regulators for verifiable trust in physical AI.

The New Currency of AI: Verifiable Trust

For an industry built on complex algorithms and autonomous decision-making, trust is becoming the most valuable currency. A SOC 2 Type II report is not a one-time check but an in-depth evaluation conducted over several months, confirming that a company’s security controls are not only designed correctly but are also operating effectively day-in and day-out. This is a critical distinction for systems that are always on, collecting data, and interacting with the real world.

As AI-powered robots navigate busy airport terminals, grocery aisles, and sprawling warehouses, they process vast amounts of operational data. Concerns about how this data is protected, how the systems are monitored, and how physical safety is ensured are no longer theoretical. For large enterprises, this kind of independent validation is quickly becoming a non-negotiable prerequisite for moving automation projects from small-scale pilots to full-fleet deployments.

"Trust in autonomous systems isn't something you can retrofit; it must be a foundational element of the architecture," said Krystal Mattich, VP of Trust & Infrastructure at Brain Corp, in the company's announcement. "It begins with how data is secured and extends through continuous system monitoring and proactive risk management. Frameworks like SOC 2 provide the independent validation needed to demonstrate that these systems meet the expectations enterprises and regulators are now setting."

This sentiment reflects a broader industry maturation. While early adoption focused on the novelty and efficiency of robotics, the next wave of growth depends on proving these platforms are robust, secure, and reliable enough for mission-critical operations in public-facing environments.

A Strategic Move in a Competitive Field

Brain Corp’s achievement is also a strategic maneuver in an increasingly competitive market. The company is not alone in recognizing the importance of such certifications; key competitors in the AMR space, including Locus Robotics and Berkshire Grey, have also secured SOC 2 compliance, establishing it as a new standard for market leaders. This industry-wide trend underscores that robust security is now a key differentiator and a critical enabler of business.

By embedding security and compliance into its core platform, Brain Corp provides its partners—the manufacturers who build robots on the BrainOS® platform—a significant advantage. It streamlines the often lengthy and complex procurement processes within large corporations, which increasingly scrutinize the security posture of their technology vendors. This allows partners to focus on their specific industry applications while relying on Brain Corp’s certified infrastructure.

This impact is echoed by the company's partners. "BrainOS® provides the proven autonomy foundation that powers our industrial inventory scanning solutions," said Dan Johnson, CEO of Dane Technologies. "By building on Brain Corp's robust and secure infrastructure, we've accelerated our vision for solving the warehouse visibility gap."

Similarly, Tennant Company, a global leader in floor care solutions with a 150-year history, relies on the platform for its expanding robotics portfolio. "As we expand our global reach and automation portfolio, having independently validated security and governance is critical," noted Pat Schottler, SVP of Tennant Company Robotics. "The BrainOS® platform doesn't just help us deliver high-performing robotic solutions, it gives our customers the confidence to deploy at scale, knowing these systems meet the rigorous standards enterprises demand."

Navigating a Complex Regulatory Landscape

This push for verifiable security does not exist in a vacuum. It aligns with a growing wave of global regulatory pressure aimed at establishing clear guardrails for artificial intelligence. Governments and standards bodies are moving to ensure that as AI becomes more powerful and autonomous, it remains safe, fair, and accountable.

In Europe, the landmark EU AI Act, which is now entering its implementation phase, will impose strict obligations on 'high-risk' AI systems, a category that includes many robotic applications. The Act mandates robust data governance, human oversight, and cybersecurity. In the United States, frameworks like the NIST AI Risk Management Framework (AI RMF) and the White House's 'AI Bill of Rights' are guiding companies to build trustworthiness directly into their systems, even if they remain voluntary for now. Federal agencies like the FTC are also using existing consumer protection laws to police unfair or deceptive AI practices.

By proactively achieving SOC 2 Type II compliance, companies like Brain Corp are not just meeting current customer demands but are also positioning themselves to navigate this complex and evolving regulatory maze. The internal controls, risk management processes, and continuous monitoring required for the certification provide a solid foundation for adhering to emerging legal and ethical standards for AI.

For autonomous systems that move through our world, the stakes are inherently higher than for software that lives on a server. Standards like ANSI/UL 4600, which focuses on the safety of autonomous products, further illustrate the deep level of scrutiny being applied to the field. Ultimately, certifications like SOC 2 are a crucial piece of a larger puzzle, providing the audited proof that a company is responsibly managing the risks associated with deploying intelligent machines at scale. This assurance is what enables Fortune 500 brands to confidently integrate thousands of robots into their daily operations, fundamentally changing the way real-world work gets done.