RadarFirst recognized in the Gartner Hype Cycle for Privacy, 2026. Jump to section. Radar First is proud that RadarFirst has been recognized as a Representative Vendor in Data Breach Response in the Gartner Hype Cycle for Privacy, 2026. For Radar First, this recognition reflects its continued commitment to helping organizations operationalize privacy incident management through consistent decision-making, regulatory intelligence, and defensible governance. As organizations adopt AI and navigate an increasingly complex regulatory environment, privacy teams are being asked to manage a broader range of risks while maintaining accountability and consistency across every decision. Radar First believe operational privacy has never been more important. Privacy incident management is evolving. Privacy incident management has traditionally focused on determining whether personal information was exposed and whether notification obligations were triggered. Today, organizations face a much broader range of privacy-related events. AI systems can generate inaccurate personal information, infer sensitive attributes, access data beyond intended boundaries, or support automated decisions with downstream privacy implications. These scenarios often require legal review, regulatory analysis, documentation, and cross-functional collaboration, even when they do not resemble a traditional data breach. As organizations deploy AI more broadly, privacy operations must evolve alongside them. Consistency matters more than ever. Managing privacy incidents is no longer simply about responding quickly. Organizations also need confidence that similar events are assessed consistently, documented thoroughly, and reviewed using repeatable decision criteria. Privacy, legal, security, compliance, and risk teams increasingly work together during incident response. Without a structured process, organizations may reach different conclusions for similar events, making governance more difficult and increasing operational risk. A documented and repeatable decision process helps organizations improve consistency, demonstrate accountability, and support regulatory readiness. AI should support decision-making, not replace it. Artificial intelligence can help privacy teams summarize information, identify relevant regulatory considerations, surface similar historical cases, and streamline investigations. These capabilities can improve efficiency. However, organizations remain responsible for the decisions they make. Effective privacy operations combine AI-assisted analysis with human expertise, documented rationale, and governance that ensures every decision can be explained and defended. Technology accelerates the work. Governance builds trust. Operational privacy is becoming a strategic capability. Privacy now intersects with security, compliance, enterprise risk, legal, and AI governance more than ever before. Organizations need a consistent operational framework for assessing incidents, coordinating stakeholders, documenting decisions, and maintaining an auditable record of how conclusions were reached. Radar First believe privacy incident management has evolved beyond workflow automation. It has become a strategic operational capability that enables organizations to respond consistently while adapting to new technologies and changing regulatory expectations. Supporting modern privacy operations. * Assess privacy-related events through structured, repeatable workflows * Apply consistent regulatory decision-making * Coordinate cross-functional investigations * Maintain defensible documentation and audit trails * Improve governance across privacy operations Radar First is proud to be recognized in the Gartner Hype Cycle for Privacy, 2026, as a Representative Vendor in Data Breach Response and remain committed to helping organizations build more consistent, accountable, and defensible privacy operations. Gartner disclaimer. GARTNER is a registered trademark and service mark, and HYPE CYCLE is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and are used herein with permission. All rights reserved. Gartner Hype Cycle for Privacy, 2026, Bart Willemsen, Bernard Woo, Nader Henein, 15 July 2026. Gartner does not endorse any vendor, product, or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Let's get started. Trusted by leading organizations, RadarFirst enables teams to manage incidents with speed, consistency, and defensibility by standardizing how incidents are captured, assessed, and actioned.

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. Let's get started. Trusted by leading organizations, RadarFirst enables teams to manage incidents with speed, consistency, and defensibility by standardizing how incidents are captured, assessed, and actioned.