As companies move from asking AI assistants questions to giving AI agents permission to use tools, access enterprise systems and complete workflows, a new security problem is becoming harder to ignore: what sits between an agent and the models it calls?
CloudSEK’s launch of KeyVigil, announced on October 30, is an attempt to address that layer. The Bengaluru-founded cybersecurity company describes the product as a secure gateway through which applications and autonomous agents can access multiple frontier AI models using a single endpoint.
The significance is not that another company has launched an AI product. It is that AI deployment is creating infrastructure requirements that look increasingly familiar to enterprise security teams: identity, secrets management, data loss prevention, monitoring, policy enforcement and cost controls.
What KeyVigil is designed to do
According to CloudSEK’s announcement and its KeyVigil product information, the gateway sits between an application or agent and the model provider. It offers one endpoint for multiple models, while keeping provider API keys inside the gateway rather than scattering them across source code, laptops or deployment pipelines.
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The company says KeyVigil can mask personally identifiable information, secrets and customer records before requests leave an organisation; flag or block prompt-injection and jailbreak attempts; log model calls; and apply usage and spending limits at team, application or agent level.
These controls address different parts of the same operational problem. Centralised credentials reduce the number of places where sensitive keys can leak. Data masking can reduce unnecessary disclosure to external model providers. Logging gives security and finance teams a record of usage. Spend limits help prevent an autonomous workflow from generating an uncontrolled bill.
Those are product capabilities described by CloudSEK. Their effectiveness in a particular enterprise environment will depend on configuration, model integrations, policy design and how the gateway is deployed. A gateway is not a substitute for application security, access governance or testing of the agents themselves.
Why the agent era changes the security equation
Traditional software generally makes calls according to instructions written by developers. AI agents can interpret goals, select tools and initiate multiple actions across systems. That flexibility is useful, but it complicates the boundary between a user request, model output and an action with business consequences.
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An agent connected to customer records, internal documents, code repositories or financial workflows may expose data through an unsafe prompt, use an over-privileged credential or trigger actions that are difficult to reconstruct later. Prompt injection adds another route: malicious instructions embedded in content an agent reads can attempt to redirect its behaviour.
Enterprises therefore need more than a model subscription. They need to know which agents are calling which models, what information is being sent, which credentials are being used, what policies apply and how activity can be audited. KeyVigil is positioning itself around that control point.
CloudSEK is also building an ecosystem around the gateway
The KeyVigil announcement came alongside CloudSEK Launchpad, a 12-week incubator for early-stage cybersecurity companies. The first cohort is intended for 10 companies, with applications listed as open until November 20, 2026. CloudSEK says selected teams can receive mentorship, access to its threat-intelligence ecosystem and up to US$5,000 in KeyVigil credits.
The pairing is strategic. CloudSEK is not only offering a gateway to enterprises; it is also trying to make that gateway part of the development environment for new security startups. If founders build products around it, the company could expand usage and familiarity with its infrastructure.
The market opportunity — and the questions that remain
AI gateways are becoming a crowded category, with cloud providers, model platforms and specialist security vendors approaching the problem from different directions. KeyVigil will need to demonstrate reliable integrations, low latency, clear policy controls and evidence that it can fit into existing enterprise identity and security operations.
There are also hard questions. How does the product handle data residency and retention? Which models and deployment environments are supported? How are false positives managed when blocking prompt injection? Can security teams export logs into their existing monitoring systems? And what happens when an agent needs to perform a legitimate action that resembles a risky one?
CloudSEK’s launch does not answer all of these questions, and the announcement should not be read as proof that agent security has been solved. It does, however, identify a layer that enterprises will increasingly have to manage as AI systems gain access to business tools and data.
The signal
The next phase of enterprise AI will be shaped not only by better models, but by the controls around them. As agents move closer to production workflows, secure access, data handling, observability and policy enforcement become core infrastructure rather than optional add-ons.
KeyVigil is CloudSEK’s entry into that layer. The test will be whether it can turn a compelling security checklist into a dependable control point that enterprise teams are willing to put between their agents and the models they use.
Featured image: Photo by Jakub Żerdzicki on Unsplash. Illustrative image.
