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Orca Security adds visibility into AI-generated code and agent risks

Orca Security has announced new capabilities to help organizations discover and secure AI-generated applications and autonomous agents across their cloud environments.

DKCISSP News DeskHelp Net Security11 Nov 2026, 2:35 pm3 min read
DKCISSP REPORT

Orca Security has announced new capabilities to help organizations discover and secure AI-generated applications and autonomous agents across their cloud environments.

The expansion builds on Orca’s AI Security offering, enabling security teams to uncover previously unknown AI applications, assess the risks associated with autonomous agents, and gain deeper visibility into AI-generated code.

AI is fundamentally changing who builds software and how it reaches production.

Yet many of these applications and agents operate outside traditional security processes, creating new blind spots.

Traditional discovery approaches depend on knowing which platforms, applications, or repositories to monitor, leaving unknown AI-generated applications undetected.

Employees across business functions are creating applications using AI-powered tools, while developers increasingly rely on autonomous agents to write code and execute tasks.

Organizations need to understand not just what exists, but what it can access and where it creates risk.

An employee can deploy an application over the weekend, while an autonomous agent can access sensitive data and take actions across cloud environments.

We’re bringing that context to the entire AI development ecosystem so companies can keep innovating without losing control.

Orca’s expanded AI AppGen Security capabilities address this challenge by identifying digital fingerprints that AI application builders leave behind across cloud infrastructure, DNS records, workloads, code repositories, and cloud identities.

Unlike traditional AI models, agents can execute commands, access sensitive information, and interact with enterprise systems using the credentials and permissions available to them.

A single overprivileged agent or insecure connection can create a path to sensitive data or critical infrastructure.

As employees increasingly use AI development platforms such as Lovable, Replit, and Bolt to create applications outside traditional engineering workflows, security teams often lack visibility into what has been deployed, where it runs, or what company data it can access.

What happened

Orca Security has announced new capabilities to help organizations discover and secure AI-generated applications and autonomous agents across their cloud environments.

The expansion builds on Orca’s AI Security offering, enabling security teams to uncover previously unknown AI applications, assess the risks associated with autonomous agents, and gain deeper visibility into AI-generated code.

AI is fundamentally changing who builds software and how it reaches production.

What changed

Yet many of these applications and agents operate outside traditional security processes, creating new blind spots.

Traditional discovery approaches depend on knowing which platforms, applications, or repositories to monitor, leaving unknown AI-generated applications undetected.

Who is affected

Employees across business functions are creating applications using AI-powered tools, while developers increasingly rely on autonomous agents to write code and execute tasks.

Organizations need to understand not just what exists, but what it can access and where it creates risk.

Why it matters

An employee can deploy an application over the weekend, while an autonomous agent can access sensitive data and take actions across cloud environments.

We’re bringing that context to the entire AI development ecosystem so companies can keep innovating without losing control.

Technical details

Orca’s expanded AI AppGen Security capabilities address this challenge by identifying digital fingerprints that AI application builders leave behind across cloud infrastructure, DNS records, workloads, code repositories, and cloud identities.

Unlike traditional AI models, agents can execute commands, access sensitive information, and interact with enterprise systems using the credentials and permissions available to them.

A single overprivileged agent or insecure connection can create a path to sensitive data or critical infrastructure.

Response

As employees increasingly use AI development platforms such as Lovable, Replit, and Bolt to create applications outside traditional engineering workflows, security teams often lack visibility into what has been deployed, where it runs, or what company data it can access.

What remains unknown

The expansion builds on Orca’s AI Security offering, enabling security teams to uncover previously unknown AI applications, assess the risks associated with autonomous agents , and gain deeper visibility into AI-generated code.

Traditional discovery approaches depend on knowing which platforms, applications, or repositories to monitor, leaving unknown AI-generated applications undetected.

Using its patented agentless SideScanning technology and unified data model, Orca connects these signals to uncover previously unknown AI services without requiring further agents, vendor integrations, or employee registration.

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