Rocotal
Rocotal is a web-based AI security and governance platform for organizations that want rules around their teams' AI use.
What Rocotal is
Rocotal is a web-based AI security and governance platform for organizations that want rules around their teams' AI use. It scans prompts for personal, customer, and financial information, credentials, and source code secrets. Using detected content, user intent, and role-based policies, it can allow, warn about, block, or mask requests. Masking replaces sensitive values with tokens before they reach an LLM and restores them in the response. Rocotal also checks responses for unsafe or policy-noncompliant content before they reach users. Its governed gateway supports multiple cloud and on-premise LLM providers. Administrators can manage users, departments, roles, permissions, and daily or monthly token budgets, with requests blocked when limits are exceeded. Audit trails cover interactions, policy actions, warnings, and security events. The platform describes connectors for business systems, knowledge sources, and enterprise applications, and names ChatGPT, Claude, Gemini, and Azure OpenAI as examples of AI tools in use. Named modules include RocoGPT, LLM Sentinel, Contexts, Connectors, Projects, and Document Organizer. Pricing is available on request, and the site offers a demo and contact form.
Good
- Can block, warn about, allow, or mask prompts
- Checks AI responses against company policies
- Supports cloud and on-premise LLM providers
- Includes role-based controls and usage budgets
- Maintains an audit trail of AI activity
Watch out
- Pricing is available only on request
- The site directs prospective users to book a demo
Who it suits
Rocotal is positioned for enterprises and regulated teams, including banking, healthcare, legal, customer support, HR, compliance, and software development. It may suit organizations that need controls over prompts, responses, access, and AI usage budgets.
Verdict
Rocotal brings prompt controls, response checks, user permissions, budgets, and audit records into a governed AI gateway. Organizations interested in it will need to request pricing and use the site's demo or contact route.
The facts
Each one read from Rocotal's own pages, with the date it was checked.
What it does
- Additional products
- Its platform overview lists RocoGPT, LLM Sentinel, Contexts, Connectors, Projects, and Document Organizer.checked 9 Oct 2026
- Audience
- The maker positions Rocotal for enterprises and regulated teams, including banking, healthcare, legal, customer support, HR, compliance, and software development.checked 10 Oct 2026
- Audit
- The platform provides audit logs for user activity, AI interactions, policy actions, warnings, and security events.checked 10 Oct 2026
- Availability and sales
- The homepage provides a Book Demo link and a contact form requesting name, email, phone number, and a message.checked 9 Oct 2026
- Compliance
- The site states that Rocotal includes five GCC compliance packs and references UAE PDPL, DIFC, and KSA PDPL in its discussion of compliance exposure.checked 10 Oct 2026
- Integrations
- Rocotal says it connects business systems, knowledge sources, enterprise applications, and AI models; the opened product page does not name the pictured integrations in its text.checked 10 Oct 2026
- Intended users
- Rocotal says it is built for organizations and teams including enterprises, banks, healthcare organizations, legal, customer support, HR, compliance, and software development.checked 9 Oct 2026
- Masking
- The product page says sensitive values are replaced with tokens before reaching an LLM and restored in the response, while the model processes the request intent rather than the underlying data.checked 10 Oct 2026
- Model support
- Rocotal says it supports multiple cloud and on-premise LLM providers through a governed AI gateway.checked 10 Oct 2026
- Policy controls
- Its policy engine combines detected entities, user intent, and role-based policies to allow, warn, block, or mask requests.checked 10 Oct 2026
- Policy engine
- Its guardrails combine detected entities, user intent, and role-based policies to determine actions for AI requests.checked 9 Oct 2026
- Product
- Rocotal describes itself as an AI security and governance platform that scans prompts, enforces guardrails, validates responses, and provides audit visibility.checked 10 Oct 2026
- Prompt actions
- Company policies can allow, block, mask, or warn on prompts with sensitive information or policy violations.checked 9 Oct 2026
- Prompt scanning
- It scans prompts for personal, customer, and financial information, as well as API keys, passwords, access tokens, and source code secrets.checked 10 Oct 2026
- Response validation
- It checks AI responses for unsafe or non-compliant content and validates outputs against company policies.checked 10 Oct 2026
- Sales and support
- The site offers a Book Demo link and a contact form; it does not state a support service level on the opened pages.checked 10 Oct 2026
- Security
- The maker describes protections for prompt injection, jailbreak attempts, and data leakage, and says the platform follows OWASP-aligned LLM security practices.checked 10 Oct 2026
- Security alignment
- The homepage says its security practices are aligned with OWASP LLM security best practices and address prompt injection, data leakage, and jailbreak attempts.checked 9 Oct 2026
- Usage limits
- Administrators can set daily or monthly token budgets, track usage, and automatically block requests when limits are exceeded.checked 10 Oct 2026
- User and usage controls
- Administrators can manage users, roles, departments, permissions, and token budgets, including daily or monthly limits that can block requests when exceeded.checked 9 Oct 2026
The company
- Company details
- The opened company page displays © 2026 Rocotal but does not state a headquarters or founding year.checked 9 Oct 2026
Where it runs
- Platform modules
- Named modules include RocoGPT, LLM Sentinel, Contexts, Connectors, Projects, and Document Organizer.checked 10 Oct 2026
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