AI Risk Visibility

Surfaces high impact AI risks across architecture, integration layers, model behavior, and intellectual-property exposure. Works across agents, applications and models to provide end-to-end visibility.

Centralized oversight of all AI interactions (model usage, prompt/response, agent behavior) across the enterprise.

Shadow AI Discovery

Automatically uncovers shadow AI usage and unapproved model deployments/data flows, giving security teams a complete AI asset inventory and closing governance blind spots.

Does not offer shadow AI discovery or AI asset inventory.

AI Risk Assessment

Delivers continuous, automated, attacker-driven AI red teaming across agents, LLMs, and full application workflows, revealing how real attackers can exploit AI at scale.

Provides continuous adversarial testing mainly focused on AI models.

Behavioural Science Testing Capabilities

Applies behavioral-science-based attack modeling rooted in academic research. Models attacker behavior across human, linguistic, and system biases to surface vulnerabilities that static testing misses.

Monitors AI model and agent behavior in real time. Red teaming assesses how agents behave under pressure, blocks risky actions and guides safe behavior across MCP, CrewAI, and custom agentic configurations.

AI Security R&D Talent

86% of staff on R&D team, 38% hold PhDs. Founded by Prof at Lancaster. Research pipeline from the UK’s top AI security lab.

Less than 10% on R&D team; per People statistics on LinkedIn Sales Navigator.

Simplicity and Usability

Designed for both security engineers and AI builders, Mindgard delivers a clean, intuitive interface with clear risk visualizations, guided workflows, and one-click retesting—no steep learning curve required.

Centralized dashboard provides real-time statistics, trends, and security actions, such as blocked or sent prompts and most/least used model. Includes user and provider insights including most blocked prompts per user, latency per LLM provider, usage trends, and usage per LLM provider. Reports can be downloaded in various formats.

AI Guardrails

Nascent capabilities

CalypsoAI plus F5 offer model-agnostic and adaptive runtime enforcement layer to control how models, agents, and data interact and policy-driven protections.

Attack-Driven Testing

Continuously red-teams models, agents, and applications through attack-driven testing—covering jailbreaks, data exfiltration, and prompt injection. Supports multi-turn adversarial chains with reproducible results to validate fixes.

Uses autonomous agents to simulate adversarial attacks, including prompt injections, jailbreaks, and data exfiltration tactics but focuses heavily on observability and SIEM integration.

Runtime Detection & Policy

Provides inline detection and enforcement for prompt injection, data leakage, and tool abuse with configurable block/alert/enrich options.

Delivers real-time monitoring and unified policy enforcement across agents and cloud environments to block prompt injection, data exfiltration, and privilege escalation. Offers a unified policy layer across models, agents, data, and cloud environments.

Enterprise Controls

Delivers enterprise-grade governance with granular permissions, detailed audit trails, and policy enforcement designed specifically for AI security workflows. Supports SAML/SSO, SCIM provisioning, and RBAC to align security testing with organizational compliance standards.

Offers RBAC, versioning, SSO, and audit logs, with broader governance features coming from the wider F5 ecosystem.

Integrations

Integrates seamlessly across developer and security workflows, including CI/CD pipelines, IDE hooks, SIEM, and ticketing systems. The first AI red teaming solution with a native Burp Suite integration, enabling red teams to extend attack-driven testing into familiar tooling.

API-first with integration into SIEM, SOAR, and other enterprise systems.

Deployment Options

Most flexible: SaaS, Private cloud, Customer‑managed. On-prem available for certain use cases.

Offers SaaS and on-premises deployment options.

Reporting & Scorecards

Provides comprehensive reporting that ties technical findings directly to business risk. Teams can assess how attackers could exploit their AI, validate defenses, and evidence compliance through detailed scorecards, trend analytics, and executive summaries.

Dashboard includes real-time statistics, trends, and security actions. Users can create and export reports with filtering options (connection, run date, CASI score rating, etc.).

Support & Partnership

Customers gain a dedicated success team backed by world-class AI security researchers. Mindgard provides hands-on guidance informed by active attack research, helping enterprises apply the latest insights to their own AI environments and continuously strengthen defenses.

Provides a support portal with installation and setup guides, administration settings, features, tutorials, etc. F5 also provides enterprise AI learning resources and formal training and certifications.

Pricing Model

Contact sales for tailored pricing.

Contact sales for pricing.