RadarFirst Introduces AI Incident Management to Help Organizations Operationalize AI Governance

As federal focus on AI security and accountability grows, RadarFirst introduces AI Incident Management to help privacy, compliance, and risk teams operationalize responsible AI governance.

PORTLAND, Ore. (June 9, 2026) – Following the White House’s recent Executive Order on Promoting Advanced Artificial Intelligence Innovation and Security, RadarFirst, the leader in privacy incident management and risk operations, is urging organizations to strengthen their preparedness for AI-related incidents and emerging governance requirements.

As artificial intelligence becomes increasingly embedded across business operations, organizations face new challenges related to personal data exposure, unauthorized data processing, automated decision-making, model misuse, policy violations, and regulatory accountability. These risks are creating a new category of operational events that require coordinated oversight across privacy, compliance, security, legal, and risk management teams. At the same time, advances in AI are lowering barriers for threat actors, accelerating the speed and scale of attacks, and increasing the likelihood that organizations will face AI-related incidents originating from both internal misuse and external adversaries.

“AI incidents are becoming business incidents, privacy incidents, and reputational incidents,” said Zach Burnett, CEO of RadarFirst. “Organizations have spent years building mature processes to manage privacy incidents and regulatory obligations. AI introduces new complexities, but the need for structured assessment, documentation, accountability, and response remains the same.”

The Executive Order highlights a growing national focus on AI security, resilience, and accountability. While many organizations have invested heavily in AI innovation, fewer have established the operational frameworks necessary to identify, assess, document, and respond to AI-related risks and incidents.

Recent industry developments further underscore the urgency of operational AI governance. On the same day the White House issued its Executive Order, Anthropic announced expanded efforts focused on frontier model security, highlighting concerns around increasingly capable AI systems, shrinking vulnerability remediation timelines, and the growing ability of malicious actors to leverage AI technologies. As AI capabilities continue to advance, organizations should expect both the volume and complexity of AI-related incidents to increase, making structured processes for AI risk management and incident response more critical than ever.

To address this growing challenge, RadarFirst is introducing AI Incident Management, a new approach that extends proven privacy incident management practices into the emerging world of AI governance.

Built on years of experience helping organizations assess, investigate, document, and respond to privacy incidents, RadarFirst’s AI Incident Management capabilities provide a structured framework for identifying AI-related risks, coordinating investigations, documenting decisions, and demonstrating accountability across the organization.

“Organizations have spent years developing mature processes for managing privacy incidents because they understand that consistent assessment, documentation, and response are critical for maintaining trust and demonstrating compliance,” said Alex Layng, Vice President of Product at RadarFirst.

“As AI adoption accelerates, we’re seeing a similar need emerge around AI incidents. Whether it’s unintended data exposure, unauthorized processing, policy violations, unexpected model behavior, or misuse by malicious actors, organizations need operational workflows that help teams identify issues early, assess impact, document decisions, and respond consistently. AI Incident Management is the natural evolution of the governance practices, privacy, and compliance teams already know they need.”

RadarFirst’s AI Incident Management solution enables organizations to:

• Identify and triage AI-related incidents and risks
• Assess potential privacy, compliance, legal, and operational impacts
• Standardize investigation and response workflows
• Document governance decisions and remediation activities
• Demonstrate accountability to regulators, auditors, customers, and stakeholders
• Create a repeatable operational framework for responsible AI governance

For privacy and compliance professionals, AI introduces challenges that often extend beyond traditional cybersecurity concerns. Organizations must evaluate how AI systems collect, process, retain, expose, and make decisions using personal information while maintaining compliance with evolving global privacy requirements and emerging AI regulations.

“The future of AI governance is operational,” added Burnett. “Organizations need more than policies and principles. They need repeatable processes that help teams respond consistently when AI-related issues arise. AI Incident Management provides the bridge between governance strategy and operational execution.”

“The conversation around AI risk often focuses on governance frameworks and policies,” continued Burnett. “Those are important, but organizations must also prepare for the reality that AI is changing the threat landscape. As threat actors gain access to increasingly sophisticated capabilities and incident volumes continue to rise, organizations need operational processes that help them respond quickly, consistently, and defensibly when AI-related incidents occur.”

As regulatory scrutiny and stakeholder expectations continue to evolve, RadarFirst believes AI Incident Management will become a foundational capability for privacy, compliance, risk, and governance teams seeking to operationalize responsible AI practices and maintain trust in AI-enabled business operations.

To learn more about RadarFirst’s privacy and AI incident management solutions, visit www.radarfirst.com.

About RadarFirst

RadarFirst is an AI-forward incident management platform for privacy and AI. Trusted by leading organizations, RadarFirst enables teams to manage incidents with speed, consistency, and defensibility by standardizing how incidents are captured, assessed, and actioned.

With more than a decade of experience supporting real-world privacy incidents, including over 1 million incidents managed, 4 million regulatory decisions delivered, and more than $2 trillion in revenue protected, RadarFirst brings proven operational discipline to modern regulatory risk.

As AI drives greater incident volume, complexity, and scrutiny, RadarFirst helps organizations prepare before risk becomes operational, using AI-assisted capabilities to support intake, assessment, and prioritization while preserving human judgment.