Vorlon launches tools for AI agent security response

Vorlon has launched two security products for AI agents and connected software systems. Both are now available to customers.

The products, AI Agent Flight Recorder and AI Agent Action Centre, are designed to give security teams a record of agent activity and a way to route and track responses when issues are found across SaaS applications, API integrations, non-human identities, and related data flows.

The additions extend Vorlon's platform beyond detection into forensic investigation and coordinated response. The launch targets what it sees as a weak point for many organisations as AI agents take on more work across business software and cloud services.

In a survey cited by Vorlon, 99.4% of organisations reported at least one SaaS or AI ecosystem security incident in 2025. The research, based on 500 US security leaders, also found that only 38.2% had comprehensive incident response coverage for their SaaS and AI ecosystem, while 86.8% said they could not see what data AI tools were exchanging with SaaS applications.

Forensic Record

AI Agent Flight Recorder is designed to create a cross-application audit trail of agent actions. It records the identities involved, SaaS applications accessed, API endpoints used, data classifications, and downstream systems affected, with logs available for querying within minutes.

The product is aimed at incidents in which an AI agent behaves unexpectedly, whether because of compromise, configuration errors, or a chain of autonomous actions. In those cases, security teams often have to piece together activity from separate logs across different systems, a process that can be slow and incomplete.

Built on Vorlon's DataMatrix technology, the tool is described as creating an immutable record. It is intended to help teams understand the scope of an incident more quickly by tracing what data was accessed and how actions spread across connected systems.

One example involved a customer support agent querying financial records outside its normal remit, at unusual hours and in volumes beyond its baseline. In that scenario, Flight Recorder would capture which identity triggered the activity, which systems were touched, which customer records were accessed, and which downstream integrations were involved.

Response Workflow

The second product, AI Agent Action Centre, focuses on what happens after a finding is identified. It is designed to present prioritised issues and route them to the relevant team member or connected system, including security operations staff, application owners, IT administrators, and compliance teams.

Rather than leaving alerts in a single queue, the product is intended to coordinate remediation work across functions. It connects with existing tools such as SIEM, SOAR, ITSM platforms, identity providers, and threat intelligence feeds, while tracking tickets through to resolution.

Vorlon groups the gaps customers are expected to address into three categories. Universal gaps are issues that should not occur in any environment, such as an AI agent with full administrative access to sensitive customer records beyond its stated role. Behavioural gaps are anomalies tied to usage and traffic patterns, such as a new MCP server connecting an existing agent to an application containing sensitive data. Dynamic gaps are custom rules set by security teams to impose controls that may not be supported by AI vendors.

Vorlon argues that incident response for agentic AI cannot sit with a single team. Instead, each stakeholder, from the chief information security officer to the application owner and compliance officer, should see the findings and workflows relevant to their role.

The company also cited Gartner research on intelligent simulation and security for enterprise agentic AI. Gartner said, "Intelligent simulation is poised to transform security operations by shifting focus from reactive detection and response to preemptive cybersecurity."

A separate Gartner passage cited by Vorlon said, "Enabling effective incident response is often the last step when implementing an agentic AI cybersecurity program, which puts it at risk of negligence from key stakeholders, or delayed implementation. In a technology landscape combining high-speed development cycles and low maturity of controls, this can lead to serious security gaps, including the inability to track the root cause of breaches."

Amir Khayat, co-founder and chief executive officer of Vorlon, linked the launch to limits in existing security architecture for AI-driven environments.

"Yesterday's data made the problem impossible to ignore. Today we're announcing what to do about it," Khayat said. "Security architecture built to monitor the front door has no native framework for tracking what an AI agent does after access is granted. That's the engine room. The runtime layer where agents move sensitive data between systems, where OAuth tokens grant persistent cross-platform access, where a single compromised integration cascades across the supply chain.

"DataMatrix maps every agent action to the data it touched and the identity behind it, across the entire agentic ecosystem, not app by app but end to end. The Flight Recorder and Action Centre give security teams what they have always had for every other incident: a complete record of what happened, where it went, what is at risk, and a clear path to resolution."