Purogaly enforces AI agent policies at the network boundary, captures cryptographic audit evidence on every action, and gives security teams a kill switch that actually stops misbehaving agents in real time.
In a Kiteworks survey of 225 enterprise leaders this quarter, 60% admitted they cannot terminate a misbehaving AI agent once it starts operating. A Gravitee study of 900+ executives found that 88% of enterprises reported AI agent security incidents in 2026, climbing to 92.7% in healthcare. Gartner predicts 40% of enterprises will demote or decommission autonomous AI agents by 2027 because governance gaps surface only after a production incident.
The dominant pattern in the AI governance category today is the SDK — a library the agent imports and calls before doing something risky. The agent decides whether to call the SDK. The agent decides whether to honor the response. The thing being governed is also the thing running the governance.
Purogaly is built differently. Every AI agent action flows through an enforcement gateway before it reaches the systems that execute it. The agent cannot proceed until the gateway returns an answer. Policies are evaluated at the network boundary. Evidence is captured automatically. Suspension is a state change the enforcement layer reads on every request — not an instruction the agent has to obey.
Every AI agent action passes through Purogaly’s MCP-compatible gateway before it reaches the target system. Policies are evaluated in milliseconds. Denied actions never reach the database, the API, or the tool.
Suspend an individual agent, an entire agent class, or all agents in your organization with one toggle. The next request returns a refusal automatically. No SDK update, no redeployment, no hoping the agent cooperates.
Every action, decision, and policy match is logged with a tamper-evident hash chain. The evidence survives external audit. Regulators can verify it. So can your insurer.
High-risk actions (PII deletion, financial transactions, customer-facing decisions) pause for human approval. Configurable per-policy, per-agent, per-action. The human decision is captured in the chain.
Most AI governance platforms in 2026 are built as SDKs. The agent decides whether to call them. The agent decides whether to honor the response. Purogaly is built as an enforcement layer the agent cannot bypass.
Purogaly is used by enterprise teams in regulated industries — fintech, healthtech, HR-tech, and B2B SaaS — that have shipped or are about to ship AI agents into production. The buyers are typically CISOs, Heads of AI Governance, VPs of Engineering, and compliance leads preparing for SOC 2 audits, ISO 42001 certification, and EU AI Act enforcement.
The common thread: their AI agents have started taking autonomous actions on real systems, and their existing governance stack — vendor risk spreadsheets, model monitoring tools, GRC platforms — was not designed for an actor that decides what to do in milliseconds.
Purogaly fits into existing infrastructure via HTTPS or MCP. It works regardless of cloud provider (AWS, Azure, GCP, on-prem). It does not require rewriting the agents themselves. The enforcement layer sits between the agents and the systems they act on.
After August 2, 2026, the European AI Office can issue fines of up to €15 million or 3% of global turnover for breaches of the high-risk AI system requirements — including failures of human oversight, traceability, and accuracy. For prohibited practices, the ceiling rises to €35 million or 7% of global turnover.
Finland became the first EU member state with full AI Act enforcement powers on December 22, 2025. Italy’s implementing Decree 132/2025 entered into force in October 2025. Conformity assessments take 6 to 12 months. Organizations that have not started runtime governance by mid-2026 will not finish in time.
Purogaly provides the runtime enforcement, traceability, and audit evidence the regulation explicitly requires for high-risk AI systems — including those that incorporate autonomous AI agents.
An AI agent governance platform is enterprise software that enforces policies on autonomous AI agents, captures evidence of every action they take, and gives security teams the ability to intervene during an incident. The category emerged in 2025–2026 as enterprises moved from generative AI pilots to production AI agents that take real actions on real systems. Purogaly is built for the runtime-enforcement segment of this category.
General AI governance focuses on the model lifecycle: training data, bias detection, model monitoring, documentation. AI agent governance focuses on the runtime: what the agent is allowed to do, what it actually did, how to stop it, and how to prove all of this to an auditor. Both matter. Purogaly is purpose-built for the agent runtime layer.
An SDK-based governance product lives inside the agent’s process. The agent calls the SDK before doing something risky, and the SDK returns yes or no. This works only if the agent cooperates. A network-boundary governance product sits between the agent and the systems it acts on. The agent cannot bypass it. Purogaly is the latter.
Yes. Purogaly is model-agnostic. It governs the agent’s actions, not the model that generates them. It works with any AI agent that makes outbound requests to external systems via HTTPS or MCP. This includes agents built on Anthropic, OpenAI, Google, Meta, and open-source models.
The EU AI Act requires human oversight, traceability, accuracy, and the ability to demonstrate compliance for high-risk AI systems. Purogaly provides runtime enforcement of human-in-the-loop approval workflows, a cryptographic audit chain that survives external audit, and configurable policy gates that can be mapped to specific regulatory requirements. The evidence is independently verifiable, not vendor-attested.
Yes. The kill switch is a state change the enforcement layer reads on every request. When activated, the next attempted action from the suspended agent returns a denial, regardless of whether the agent cooperates or even knows about the suspension. This works because the enforcement happens outside the agent, at the network boundary.
Purogaly is offered in three tiers: Starter (suitable for 1–5 agents and a single organization), Business (multi-tenant, SSO, full compliance evidence), and Enterprise (unlimited agents, dedicated tenant, data residency, custom policies, SLA). Pricing is tailored to your AI agent footprint, deployment model (SaaS or on-premise), and regulatory requirements. Contact us for a quote.
Walk through a live denial, examine the cryptographic chain, and ask the questions that separate SDK-based governance from runtime enforcement.
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