Can an AI Vendor Review Its Own Agent Safely?
Review AI agent security, automated action reviewers and PII controls for regulated claims and payments, with customer approval evidence.
Research topic
AI governance
Research on AI governance for AI agent workflows, with tokenization, access controls and evidence for teams handling sensitive business data.
How to Reduce Shadow AI Agents Across Your Enterprise
Review Reduce Shadow AI Agents Across Your Enterprise, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
What Is Human-in-the-Loop Approval for AI Agents?
Review Human-in-the-Loop Approval for AI Agents, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
What Is AI Agent Least Privilege?
Review AI Agent Least Privilege, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
What Is AI Agent Data Minimization?
Review AI Agent Data Minimization, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
What Is AI Agent Action Governance?
Review AI Agent Action Governance, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
What Is a Governed AI Workflow?
Review a Governed AI Workflow, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
Should AI Models Be Treated Like Insider Risks?
Review Should AI Models Be Treated Like Insider Risks, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
How to secure AI Agents in Enterprise?
Review secure AI Agents in Enterprise, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
How to run an AI amnesty?
Review run an AI amnesty for AI agent security, with practical checks on sensitive data, tokenization and named human approvals.
How to Prevent Security Policy Conflicts in Workflows?
Review Prevent Security Policy Conflicts in Workflows, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
How to handle shadow AI usage?
Review handle shadow AI usage, with AI agent security, tokenization and approval checks for sensitive enterprise workflows.
What Is Shadow AI?
Review Shadow AI for AI agent security, with practical checks on sensitive data, tokenization and named human approvals.
Does an AI Agent Need Human Approval Before It Takes Action?
Not for every action, but for any that is consequential, irreversible or leaves the organization. Check that the environment enforces the gate.
How Do You Keep Data Access Policies Consistent Across AI Tools?
Enforce the policy once, at the rendered screen every tool shares, not in each vendor's console. Check whether a new AI tool can read a customer screen.
What Are the Trade-offs of Restricting Employees to One AI Agent?
A single-agent mandate simplifies contracting but pushes other work into unsanctioned tools and ties governance to one vendor. Check how much use leaks.
Who Decides Which Data an AI Agent Can Access?
The data owner and classification policy should, per agent and destination, with the decision recorded; in practice the builder or an inherited login does.
How Many AI Laws Require Human Review of AI Decisions?
Of the 45 AI laws enacted in California, Colorado, Illinois and New York in 2025 and 2026, 4 require a person to review the AI's decision, and 3 of those are Colorado's. Nationwide in 2025, 9 of more than 1,100 state AI bills required human review and 1 became law. Only 1 enacted law mentions AI agents.
How Many Large Companies Are Warning Their Investors About the Risks of AI?
Of the 87 largest US companies that describe using AI in their annual reports, at least 55 also warn investors about it. 55% of all US public companies list AI as a risk, against at least 62 of the top 100. Only 13 of the top 100 name AI agents, and only 3 of the largest banks and insurers.
Which AI Security Searches Are Growing Fastest?
US searches for prompt injection grew about 13 times in less than a year, and searches for AI controls, AI oversight and AI accountability grew faster than searches for AI governance. AI security is still a small search: about 4 for every 100 searches for ChatGPT. Searches for AI compliance grew slowest.
What Are the Key AI Agent Security Statistics for 2026?
Of 15 AI agents and 86 AI security products reviewed, none describes replacing the customer data an agent reads on a screen with tokens it can work with. Published flaws in AI agents rose from 92 to 616 in a year, and most large-company annual reports now name AI as a risk.
Does Lakera Protect My Credentials From a Hijacked Agent?
Partly: Lakera screens the prompts, responses and tool calls routed through its Guard API, and a missed injection reaches an agent that still holds the credential on the page it opened. Ask what the model reads on each rendered screen and who approves the payee change before crediting a filter with custody.