Vorlon has unveiled two innovative security products aimed at enhancing the safety of AI agents and interconnected software systems. Both offerings are now accessible to clients.
The newly introduced products, AI Agent Flight Recorder and AI Agent Action Centre, are designed to provide security teams with comprehensive records of AI agent activities, as well as a mechanism to manage and track responses when issues arise across various SaaS applications, API integrations, non-human identities, and associated data flows.
These additions expand Vorlon’s platform by moving from mere detection to forensic investigation and coordinated response, targeting what the company views as a significant vulnerability for organizations as AI agents increasingly take on responsibilities within business software and cloud services.
A survey referenced by Vorlon revealed that 99.4% of organizations experienced at least one security incident related to their SaaS or AI ecosystem in 2025. Conducted with input from 500 U.S. security leaders, the research also highlighted that only 38.2% of respondents had comprehensive incident response strategies in place for their SaaS and AI environments, while 86.8% acknowledged that they lacked visibility into the data exchanges occurring between AI tools and SaaS applications.
Forensic Record
AI Agent Flight Recorder is engineered to generate a thorough audit trail of agent actions across multiple applications. It documents key details, including involved identities, accessed SaaS applications, utilized API endpoints, data classifications, and impacted downstream systems, with logs available for review within minutes.
This tool specifically addresses incidents where an AI agent operates unexpectedly, whether due to compromise, configuration errors, or a series of autonomous actions. In such situations, security teams typically need to reconstruct activities from disparate logs across various systems, a process that can be time-consuming and often incomplete.
Utilizing Vorlon’s DataMatrix technology, Flight Recorder creates an immutable record that aids teams in quickly assessing the scope of an incident by tracing accessed data and observing how actions reverberate across interconnected systems.
For example, if a customer support agent were to query financial records outside its usual scope, at odd hours, and in volumes larger than its norm, the Flight Recorder would track which identity triggered the activity, the systems involved, the customer records accessed, and any downstream integrations linked to this incident.
Response Workflow
The second product, AI Agent Action Centre, focuses on the steps to be taken once an issue is identified. It is designed to highlight prioritized issues and route them to the appropriate team member or connected system, including personnel from security operations, application owners, IT administrators, and compliance teams.
Rather than merely leaving alerts in a single queue, this product seeks to coordinate remediation efforts across various functions. It seamlessly integrates with existing tools such as SIEM, SOAR, ITSM platforms, identity providers, and threat intelligence feeds, while meticulously tracking tickets through to resolution.
Vorlon categorizes the gaps that customers are expected to address into three main types. Universal gaps encompass issues that should be non-existent in any environment, such as an AI agent with unrestricted access to sensitive customer records beyond its defined role. Behavioral gaps refer to anomalies associated with usage and traffic patterns, like a new MCP server linking an existing agent to an application containing sensitive data. Dynamic gaps represent custom rules set by security teams to enforce controls that may not be universally supported by AI vendors.
Vorlon asserts that incident response for agentic AI cannot be relegated to a single team. Instead, all stakeholders, from the Chief Information Security Officer to application owners and compliance officers, should have visibility into the findings and workflows pertinent to their respective roles.
The company also referenced Gartner research related to intelligent simulation and security measures for enterprise agentic AI, stating, “Intelligent simulation is set to revolutionize security operations by shifting focus from reactive detection and response to proactive cybersecurity.”
Another Gartner comment noted, “Facilitating effective incident response is often the final step in implementing an agentic AI cybersecurity program, which risks negligence from essential stakeholders or delays in implementation. In a fast-paced technological environment with evolving development cycles and immature controls, this can lead to significant security gaps, including the inability to trace the root causes of breaches.”
Amir Khayat, co-founder and CEO of Vorlon, linked the product launch to the limitations of existing security architectures in AI-driven environments.
“The data from previous incidents has made this issue impossible to overlook. Today, we’re announcing actionable solutions,” Khayat stated. “Conventional security architecture built to monitor the entry points lacks a framework for tracking the actions of AI agents post-access. This is where critical operations occur—the runtime layer where agents transport sensitive data between systems, where OAuth tokens allow ongoing cross-platform access, and where a single compromised integration can cascade throughout the supply chain.
“DataMatrix connects every agent action to the data it interacted with and identifies the responsible party across the entire agentic ecosystem—not on a per-application basis, but comprehensively from end to end. The Flight Recorder and Action Centre empower security teams with what they have always possessed in handling other incidents: a complete account of what transpired, where it went, what is at stake, and a clear path to resolution.”
