Cisco AI Defense vs F5 AI Guardrails

Cisco AI Defense is Cisco's security product for enterprise AI applications, models and agents. Cisco unveiled it on January 15, 2025 and said it would be available that March. It is built on Robust Intelligence, the AI security startup Cisco announced it would acquire on August 26, 2024 and finished acquiring on September 24, 2024; Dark Reading called Robust Intelligence the core component of AI Defense. The product is sold by Cisco Systems, Inc., which was incorporated in 1984 and is based in San Jose; this profile lists Cisco's founding year and headquarters, as the directory does for other big-company products. Cisco's May 2026 data sheet splits the product into four parts. AI Cloud Visibility discovers AI models, applications, connected data sources, MCP servers and agents, including assets in Amazon Bedrock, Google Vertex and Azure AI Foundry. AI Supply Chain Risk Management scans model files, repositories and MCP servers and tools, and gives each asset a risk score. AI Model and Application Validation runs algorithmic red teaming with more than 200 attack techniques and threat subcategories. AI Runtime Protection applies safety, security and privacy guardrails, enforces MCP policies at runtime and protects agent behavior. Runtime checks can run at the network level through Cisco Multicloud Defense, through a gateway, or through an Inspection API. Hybrid deployments (AWS EKS, Azure AKS, GCP and on-premises AI PODs on OpenShift) keep sensitive data in the customer's environment. A separate AI Access module, for employee use of third-party AI apps, comes through Cisco Secure Access and needs its Advantage package. **Agent and MCP security** In February 2026 Cisco added an AI bill of materials, an MCP Catalog, multi-turn red teaming of models and agents, real-time agentic guardrails and an integration with NVIDIA NeMo Guardrails; the release gave no availability dates. In March 2026 it launched AI Defense: Explorer Edition, a self-service red-teaming tool Cisco offers at no upfront cost, and announced an Agent Runtime SDK for Amazon Bedrock AgentCore, Google Vertex Agent Builder, Azure AI Foundry and LangChain, plus DefenseClaw, an open-source agent security framework. **Frameworks** Cisco says AI Defense has mapped to NIST, OWASP and MITRE frameworks since launch. Its data sheet names the NIST AI RMF, MITRE ATLAS and the OWASP Top 10 for LLMs, and red-team reports also map to Cisco's own Integrated AI Security and Safety Framework. We found no documented support for the EU AI Act or ISO 42001. **Who it's for** Large enterprises that already use Cisco security products (Secure Access, Multicloud Defense, Splunk) and want AI discovery, red teaming and runtime guardrails from one vendor. Cisco doesn't publish prices.

F5 AI Guardrails is F5's runtime security product for AI models, applications and agents. F5 sells it alongside F5 AI Red Team, its automated adversarial testing product, and presents the two as a pair: findings from Red Team can be turned into guardrail policies. Both come from CalypsoAI, the AI security company F5 announced it would acquire on September 11, 2025 for $180 million in purchase consideration, mostly cash. The deal closed on September 26, 2025. F5 introduced both products when it announced the deal had closed, and made them generally available in January 2026 as part of its Application Delivery and Security Platform. F5, Inc. was incorporated in 1996 and is based in Seattle; this profile lists the company's founding year and headquarters, as the directory does for other big-company products. F5 AI Guardrails blocks prompt injection and jailbreaks, detects and prevents leakage of personal data and custom data categories, filters toxic or harmful output, and audits or blocks unauthorized tool calls and actions by agents. Policies can be written in natural language. Every enforcement action is logged with attribution, and logs can be exported to third-party SIEMs. It works with any model and runs in AWS, Azure or Google Cloud, in private clouds, or on premises, including fully air-gapped environments. F5 AI Red Team sends a swarm of attacker agents to run static, prompt-based and multi-turn attacks, including indirect prompt injection and data-leakage tests on RAG applications. F5 says its attack library grows by more than 10,000 patterns a month. Red Team runs in the major public clouds or on premises as a certified Red Hat OpenShift operator. A feature called F5 AI Remediate drafts guardrails from Red Team findings, and a person approves each one before it goes live. **Gateway and platform** On June 22, 2026 F5 launched the F5 AI Security Platform, which groups AI governance, AI discovery, testing with AI Red Team and runtime protection with AI Guardrails, plus an audit trail across AI interactions. At the same time it announced the acquisition of SurePath AI, which adds network-based discovery of AI use, including shadow AI. F5's AI Gateway now combines a model gateway, an MCP gateway (with an MCP server registry and per-tool allow and deny controls) and AI Guardrails under one control plane. **Compliance coverage** F5 says Guardrails has automated auditing templates for GDPR, HIPAA and the EU AI Act, out-of-the-box policy controls aligned to PCI, PHI and the EU AI Act's prohibited-risk categories, and audit-ready logs. It also says Red Team findings can support compliance programs aligned with the NIST AI RMF and the EU AI Act, and it publishes an infographic aligning its products with the OWASP Top 10 for LLMs. We found no article-by-article mapping to the EU AI Act. **Who it's for** Large enterprises, including regulated financial services and healthcare organizations, that need AI guardrails they can host themselves or run air-gapped. F5 says both products are deployed at Fortune 500 companies. It also suits F5 customers who want AI controls on the same platform as their application delivery and API security.