Secure AI
See and Protect AI Wherever Apps Are Built
Knowing which AI models, packages, and agents are deployed in your cloud is a starting point. Get runtime visibility with Orca Sensor to see what AI is actually doing, what data they’re touching, and where the real risk lives.
The Challenge
AI Is Moving Faster Than Your Security Controls
Every team is using AI to build. Not every team is telling security. The result is a growing blind spot: models in production you didn’t approve, sensitive data feeding pipelines you can’t see, and compliance frameworks that don’t yet have answers for any of it.
AI is already in your cloud, with models and pipelines deployed outside any formal review process, invisible to your security stack.
Business teams are building apps without security oversight, risk management, or compliance review.
When the board and auditors ask how you’re managing AI risk, most security programs don’t yet have a clear answer.
Report
2026 State of AI Security
We use Orca to scan for any GenAI related vulnerabilities identified in packages and libraries in our cloud assets. Then we use this data to reach out to product teams for remediation.”
Sri Tiruveedhula
Principal Engineer at Autodesk
Validated Business Value
legacy tools replaced
Alert Volume Reduction
Annual Operating Savings
Return on Investment
Average Deployment
Walk Into Every Board Meeting With a Clear Answer on AI Risk
“We’re working on it” isn’t a good enough answer for the board.
Orca gives CISOs a continuously updated view of AI risk across the entire cloud environment, with the context needed to speak to exposure, coverage, and remediation progress in plain terms. No manual reporting, no spreadsheet consolidation, no scrambling before the meeting.
Know Every AI Asset in Your Cloud, Including the Ones Your Teams Didn’t Tell You About
Update your AI inventory at the pace of business.
Orca automatically discovers AI models, datasets, training pipelines, and inference endpoints across AWS, Azure, and GCP, with no agents, no configuration, and no waiting on teams to self-report. The result is a current AI asset inventory and AI Bill of Materials (AI-BOM), giving you a complete, auditable record of every AI component in your environment, including ownership, deployment context, and risk exposure.
Powered By Orca
The Risk Context to Scale Cloud Security with Confidence
Understand what’s at the core of the Orca Platform so your team can see how findings connect, which ones create real exposure, and where to act first.
Agentless scanning across every workload.
Runtime observability & protection.
The reasoning engine for for AI agents, workflows, and assistants.
Risk correlation to inform action with context, not just disparate data points.
Dynamic scoring & attack path analysis.
Detect AI-Specific Runtime Threats and Misconfigurations as They Happen
Know about dangerous AI activity in real time.
Posture management tells you what’s wrong before an attack. Runtime security tells you what’s happening during one. Orca monitors AI workloads at runtime, detecting model exfiltration attempts, prompt injection patterns, unusual inference traffic, and configuration drift. When something changes in your AI environment, you know about it in minutes, not after the fact.
Understand What Data Your AI Systems Can Access
Lock down sensitive data that AI models shouldn’t access.
Orca connects data security posture management (DSPM) with AI asset discovery to show you exactly which sensitive datasets, PII, financial records, regulated data, are accessible to or consumed by your AI systems. When a model has unnecessary access to crown jewel data, Orca flags it with full context: what the data is, how it flows, and what it would take to fix the exposure.
Prioritize AI Risk by Actual Business Impact, Not Raw Severity
Not every AI-related risk is urgent.
Orca’s unified data model connects risk findings to deployment context, asking whether this model is internet-exposed, whether it has access to sensitive data, and whether it’s running in production, so your team fixes what actually matters first. The result is a dramatically shorter list of high-priority remediations, with enough context to act immediately rather than investigate further.
Related Resources
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Frequently Asked Questions
AI Security is an emerging field of cloud security that involves addressing security risks and compliance issues associated with using AI models. It involves a collection of strategies, solutions, and practices designed to enable organizations to securely leverage AI models and LLMs in their business.
Like other cloud assets, AI models and LLMs present inherent security risks, including limited visibility, accidental public access, shadow data, unencrypted data, unsecured keys, and more.
Despite its advantages, AI poses significant security risks that organizations must consider and address, including:
- Lack of visibility: Security teams don’t always know which AI models are currently in use and aren’t able to discover shadow AI.
- Data exposure: Misconfigured public access settings, exposed keys, and unencrypted sensitive data can cause data leakage.
- Data poisoning: Bad actors can potentially tamper with data and insert malicious content.
- Key exposure in repositories: These keys allow bad actors to make API requests, tamper with the AI model, and exfiltrate data.
Orca Cloud Security Platform secures your AI models from end-to-end—from training and fine-tuning, to production deployment and inference.
- AI and ML Inventory and BOM: Get a complete view of all AI models that are deployed in your environment – both managed and unmanaged.
- Full AI-SPM Coverage: Ensure that AI models are configured securely, including network security, data protection, access controls, and IAM.
- Sensitive data detection: Be alerted if any AI models or training data contain sensitive information so you can take appropriate action.
- Third-party access detection: Detect when keys and tokens to AI services— such as OpenAI, Hugging Face—are unsafely exposed in code repositories.
Orca Cloud Security Platform provides the key capabilities of a DSPM solution, and our comprehensive approach to cloud security means that data security is natively included in a single cloud security platform, without requiring any further integrations.
In addition, as opposed to DSPM tools that focus solely on data security, Orca takes a holistic view that combines data intelligence with other cloud risks. This includes vulnerabilities, malware, misconfigurations, lateral movement risks, identity and access risks, API risks, and more. This comprehensive insight allows Orca to highlight how indirect as well as direct risks can lead to exposed sensitive data.
Orca’s SideScanning™ technology, which collects data from the workload runtime block storage without requiring agents, performs a complete data risk analysis with no performance impact. This provides security teams with comprehensive visibility of their data storage across the entire cloud estate, including misplaced sensitive data stores and shadow data.
In recent years, AI usage has increased dramatically. More than half of all organizations already use it in the course of their business. AI’s widespread adoption, coupled with the security risks of using AI services and packages, puts organizations at heightened risk of security incidents. The below figures help illustrate this risk:
- 94% of organizations using OpenAI have at least one account that is publicly accessible without restrictions.
- 97% of organizations using Amazon Sagemaker notebooks have at least one with direct internet access.
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