Compliance Stuff

Agentic artificial intelligence (AI) is the next frontier for companies and organizations that are using AI. Agentic AI can select and carry out actions on a user’s behalf based on instructions, context, and the permissions it has been configured to use . As organizations integrate these systems and capabilities, they face an additional layer of legal risks and governance concerns. As companies begin to use agentic AI, they should consider key risk management practices to ensure responsible adoption . This includes aligning with emerging best practices and standards being studied and promoted by the National Institute for Standards and Technology (NIST) around agentic AI, including the Center for AI Standards and Innovation (CAISI) AI Agent Standards Initiative and the National Cybersecurity Center of Excellence Project addressing Software and AI Agency Identify and Authorization . For example, organizations utilizing agentic AI should look more closely at how the authority of AI age...

Key Takeaways AI agents can harvest, synthesize, and exfiltrate trade secrets through more than a dozen evasion techniques that generate no conventional security alert. Employees can photograph AI-generated screen displays with personal devices, bypassing every layer of digital monitoring entirely. Companies must act now: update AI acceptable-use policies, mandate prompt logging, restrict personal devices in sensitive work areas, and build AI review into departure protocols. I. The Threat: A New and Undetectable Form of Trade Secret Theft Artificial intelligence (AI) has fundamentally changed the insider threat calculus for companies that rely on trade secrets. Traditional employee misappropriation – bulk file downloads, USB transfers, personal email exfiltration – leaves a recognizable forensic footprint. Data loss prevention (DLP) tools, endpoint detection agents, and network monitoring platforms were built to find exactly these patterns, and they have become reasonably effective at ...

Agentic AI is poised to transform the way businesses operate and how consumers behave. Equipped with the ability to autonomously plan, adapt to, and complete complex, multi-step tasks, this developing technology simultaneously unlocks exciting opportunities and introduces emerging risks for businesses. Artificial Intelligence (AI) is evolving at a rapid and unprecedented pace, and the emergence of “agentic AI” is at the leading edge. Unlike traditional AI systems that are designed to perform specific, narrowly defined tasks ( e.g. , generating text or images or analyzing inputs) and rely on human input and oversight, agentic AI systems have the capacity to complete far more complex, multi-step tasks with a high degree of autonomy and make decisions based on context. Beyond acting as tools that users leverage for specific tasks, agentic AI systems equip individuals and businesses with agents that can plan, adapt, and make decisions on their behalf. The promise of agentic AI opens up a ...

A New Normal At this point, we've all become familiar with generative AI models. Most users today engage with AI models through a conversational interface: they type prompts, questions, or instructions, and the model replies. People treat these systems like a "smart assistant," not by handing off control, but by querying, iterating, refining its output, and guiding it with feedback. In this interaction mode, the human remains in the loop . The AI system is a collaborative tool, not an independent actor. "Agentic" AI seeks to expand on those capabilities by enabling agentic systems to take action on behalf of users, rather than simply providing information and analysis. Imagine planning for a weekend trip, including making reservations for flights and hotels. Instead of spending time comparing airlines, flight times, loyalty points, and prices, an AI agent handles the entire process for you. The agent knows your travel preferences, loyalty memberships, budget, an...

Agentic AI is one of the buzziest concepts in business today. There's no mystery why—the promise of dramatic increases in efficiency, and ones that actually accelerate over time as the agents get better at their jobs, all for what is advertised as a fraction of the cost of the employees who currently do the job . Unfortunately, AI Agents carry a hidden risk that your business may not have accounted for. The Risk: Most Agentic AI was engineered to complete tasks reliably, rather than prioritizing the protection of specific types of data. The focus on completing operations first creates a bias within the system that establishes concrete pathways for confidential information, personal data, and intellectual property (IP) to leak from Agent to Agent, across memories, and through over-permitted integrations. In other words, putting any data that you entrust to the AI Agent at risk. HOW LEAKS ACTUALLY HAPPEN That sounds ominous, but also a bit "shrouded in mystery." The good ...