Rocotal

Spec sheet

Product

Rocotal describes itself as an AI security and governance platform that scans prompts, enforces guardrails, validates responses, and provides audit visibility.Read 10 Oct 2026 · rocotal.com

Intended users

Rocotal says it is built for organizations and teams including enterprises, banks, healthcare organizations, legal, customer support, HR, compliance, and software development.Read 9 Oct 2026 · rocotal.com

Audience

The maker positions Rocotal for enterprises and regulated teams, including banking, healthcare, legal, customer support, HR, compliance, and software development.Read 10 Oct 2026 · rocotal.com

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.Read 10 Oct 2026 · rocotal.com

Security

The maker describes protections for prompt injection, jailbreak attempts, and data leakage, and says the platform follows OWASP-aligned LLM security practices.Read 10 Oct 2026 · rocotal.com

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.Read 10 Oct 2026 · rocotal.com

Additional products

Its platform overview lists RocoGPT, LLM Sentinel, Contexts, Connectors, Projects, and Document Organizer.Read 9 Oct 2026 · rocotal.com

Audit

The platform provides audit logs for user activity, AI interactions, policy actions, warnings, and security events.Read 10 Oct 2026 · rocotal.com

Availability and sales

The homepage provides a Book Demo link and a contact form requesting name, email, phone number, and a message.Read 9 Oct 2026 · rocotal.com

Company details

The opened company page displays © 2026 Rocotal but does not state a headquarters or founding year.Read 9 Oct 2026 · rocotal.com

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.Read 10 Oct 2026 · rocotal.com

Model support

Rocotal says it supports multiple cloud and on-premise LLM providers through a governed AI gateway.Read 10 Oct 2026 · rocotal.com

Platform modules

Named modules include RocoGPT, LLM Sentinel, Contexts, Connectors, Projects, and Document Organizer.Read 10 Oct 2026 · rocotal.com

Policy controls

Its policy engine combines detected entities, user intent, and role-based policies to allow, warn, block, or mask requests.Read 10 Oct 2026 · rocotal.com

Policy engine

Its guardrails combine detected entities, user intent, and role-based policies to determine actions for AI requests.Read 9 Oct 2026 · rocotal.com

Prompt actions

Company policies can allow, block, mask, or warn on prompts with sensitive information or policy violations.Read 9 Oct 2026 · rocotal.com

Prompt scanning

It scans prompts for personal, customer, and financial information, as well as API keys, passwords, access tokens, and source code secrets.Read 10 Oct 2026 · rocotal.com

Response validation

It checks AI responses for unsafe or non-compliant content and validates outputs against company policies.Read 10 Oct 2026 · rocotal.com

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.Read 10 Oct 2026 · rocotal.com

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.Read 9 Oct 2026 · rocotal.com

Usage limits

Administrators can set daily or monthly token budgets, track usage, and automatically block requests when limits are exceeded.Read 10 Oct 2026 · rocotal.com

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.Read 9 Oct 2026 · rocotal.com

Where Specifiction places it

• LLM Security Tools#25 of 316.9