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AI agents can do more than generate content. With access to data, applications, code, infrastructure, and external communications, they can take actions that create security, privacy, safety, legal, and operational risks. That changes the incident response question. Organizations must be prepared not only for attacks that use AI, but also for events in which an … Continued
AI adoption is accelerating across the enterprise, but many organizations still lack a reliable way to see, assess, and govern how AI is being used. New tools, embedded AI features, and employee-led use cases can create business value, but they can also introduce privacy, security, compliance, and operational risks if not properly documented or reviewed. … Continued
A practical guide to privacy incidents, data breaches, and notification thresholds A privacy violation occurs when personal information is collected, used, accessed, disclosed, retained, altered, or destroyed in a way that conflicts with an applicable law, regulation, contract, or privacy commitment. A privacy violation can involve a security incident, but it can also result from … Continued
California is accelerating a move from AI safety claims to independently verified evidence. On September 18, 2026, Governor Gavin Newsom signed Executive Order N-9-26, directing state agencies to accelerate the development of California’s independent AI oversight framework and to evaluate potential additions to its AI safety laws. The proposals include onsite independent verification at large … Continued
California’s new AI audit laws do not require every organization using AI to obtain an independent audit. They do, however, establish a more formal accountability framework for the auditors that assess AI systems for compliance with state law. Signed on September 9, 2026, SB 813 requires California to develop standards for designating independent verification organizations … Continued
OpenAI’s Astra for Law offers privacy and legal leaders a useful preview of specialized AI in high-stakes work. The central lesson is not simply that a legal model can find better sources. It is that stronger AI performance must be paired with controlled data access, verifiable authority, defined human review, and a record of how … Continued
For years, privacy, security, and compliance teams could usually recognize an “incident” by looking for familiar signals: a data breach, a ransomware attack, an unauthorized disclosure, or another event that triggered an established response process. AI is changing that operating assumption. As organizations embed AI into more business processes, incidents are no longer limited to … Continued
Compliance decisions are rarely one-size-fits-all. A cybersecurity incident, privacy event, AI-related issue, vendor event, or enterprise risk scenario may require fast action, but the right outcome depends on the organization’s own policies, thresholds, obligations, and decision criteria. That is where custom compliance workflows matter. RadarFirst custom compliance workflows help organizations translate internal policies, assessment criteria, … Continued
NVIDIA CEO Jensen Huang recently pointed to cybersecurity as one of AI’s next major use cases, reflecting a broader reality: as AI becomes more powerful, organizations will need better ways to manage the risks it creates. But AI risk is not a reason to stop moving. It is a reason to build stronger operational readiness. … Continued
When a privacy incident is reported, teams often need to make an immediate judgment with incomplete information: which incident should we look at first? The full investigation may not be complete. The formal risk assessment may not have begun. Important facts may still be unknown. But the team still needs to decide where to focus … Continued
