Last updated: November 3, 2026. Testing track: Documentation Reviewed.
Cisco AI Defense covers the AI application lifecycle: inventory and supply chain risk for models, agents and MCP servers, algorithmic red teaming, and runtime guardrails for custom AI apps. Employee use of third-party AI apps is handled through AI Access inside Cisco Secure Access SSE. It has some of the most explicit framework mappings in the category, but workforce controls depend on buying into Cisco’s SSE stack and pricing is quote-based.
Ownership: Cisco product, launched January 2025. Built on the acquisition of Robust Intelligence: intent announced August 2024, completed per Cisco blog update dated 2024-09-24; price not disclosed.
Score: 7.6 / 10.
Initial review November 3, 2026.
This review is based on Cisco AI Defense’s public documentation, product pages, pricing pages and press coverage as of November 2026. We have not had lab access or a vendor demo.
Scores use the same published rubric and formula as every review on this site. Sources are listed at the end of the review.
Coverage breadth
Detection accuracy
Deployment friction
Policy & control depth
Framework alignment
Support & documentation
20%
20%
15%
15%
10%
10%
10%
9
8
5
8
9
5
8
Spans supply chain, red teaming, runtime for apps, agents and MCP, plus workforce via SSE.
Broad documented detection and quantified red team scope, no independent benchmark.
Runtime is SaaS or in-VPC, but workforce coverage requires Cisco Secure Access SSE.
Guardrails, MCP tool lists and block or redirect access controls; no coaching documented.
Documents MITRE ATLAS, OWASP LLM, OWASP Agentic and NIST AI RMF mappings.
Marketplace listing exists but custom pricing only; free Explorer Edition for red teaming.
Data sheet, docs, DevNet lab and Enhanced Support included.
Score
9
Notes
Spans supply chain, red teaming, runtime for apps, agents and MCP, plus workforce via SSE.
Score
8
Notes
Broad documented detection and quantified red team scope, no independent benchmark.
Score
5
Notes
Runtime is SaaS or in-VPC, but workforce coverage requires Cisco Secure Access SSE.
Score
8
Notes
Guardrails, MCP tool lists and block or redirect access controls; no coaching documented.
Score
9
Notes
Documents MITRE ATLAS, OWASP LLM, OWASP Agentic and NIST AI RMF mappings.
Score
5
Notes
Marketplace listing exists but custom pricing only; free Explorer Edition for red teaming.
Score
8
Notes
Data sheet, docs, DevNet lab and Enhanced Support included.
Explicit documented mappings to MITRE ATLAS, OWASP LLM Top 10, OWASP Agentic Top 10 and NIST AI RMF (Cisco AI Defense data sheet).
Covers AI supply chain risk with AI BOM and MCP Catalog, which few runtime tools address (Cisco press release, 2026-02-10).
Free self-service Explorer Edition lets teams run the same algorithmic red teaming as the enterprise product (Cisco blog, 2026-03-23).
VPC and on-premises AI POD deployment keep sensitive inference traffic in the customer environment (data sheet). Red teaming breadth is quantified: 200+ techniques, 10 languages, text, image and audio (data sheet).
Workforce shadow AI controls require Cisco Secure Access SSE, a significant platform commitment for non-Cisco shops (AI Access page).
Pricing is custom via private offer only (AWS Marketplace listing).
Cisco notes some announced features were still in development and timelines may change (press release, 2026-02-10). File upload inspection, coaching flows and Microsoft 365 or Google Workspace app governance are not documented. No independent detection benchmark found.
Enterprises building their own AI applications and agents on Bedrock, Vertex or Azure AI Foundry that need supply chain inventory, red teaming and runtime guardrails with documented OWASP, NIST and MITRE mappings, especially those already running Cisco Secure Access, Splunk or Cisco networking.
Organizations mainly concerned with employee use of ChatGPT and similar tools that do not run Cisco Secure Access, or small teams wanting published pricing and fast self-serve rollout. Alternatives: Harmonic, Nudge or Portal26 for workforce AI usage control; Check Point (Lakera) or F5 AI Guardrails for runtime guardrails outside the Cisco stack.
Not published. AWS Marketplace listing ‘Cisco AI Defense powered by Security Cloud Control’ uses custom pricing via private offer, with Enhanced Support included and Premium Support optional. AI Defense: Explorer Edition red teaming is offered at no upfront cost.
See how it compares in our Best LLM Security Tools 2026 ranking. The poor-fit section above names alternatives for buyers it does not suit, and our methodology explains how every product is scored.
If Cisco AI Defense grants lab access, we would run the following scenarios and upgrade this review to Lab Tested.
Direct and indirect prompt-injection scenarios from public OWASP and Lakera-style test sets against a representative LLM app.
The standard sensitive-data set in prompts and model responses.
Block, warn, redact and allow behaviors against a configured policy.
What is logged, what is not, and retention behavior.
Microsoft Entra ID and Okta where supported.
Time from access to enforced policy in a representative environment.
Added latency on standard prompt sizes.
Based on public documentation. “Not documented” means we could not find it in public material, not that the product lacks it.
| Capability | Cisco AI Defense |
|---|---|
| Inline prompt DLP | Yes. Runtime guardrails detect PII, PCI, PHI and source code; AI Access enforces DLP for third-party apps through Secure Access. |
| Shadow AI discovery | Yes. AI Access inspects web traffic to identify shadow AI services and API calls (requires Secure Access SSE). |
| Blocking unapproved AI tools | Yes. AI Access blocks or redirects requests to approved services. |
| File upload inspection | Not documented. AI Access page does not specify whether DLP covers file uploads. |
| Secure AI workspace (sanctioned chat) | Not documented. No vendor-provided sanctioned chat interface found. |
| Built-in AI vendor risk scoring | Yes. AI Access dashboard assigns risk scores to discovered AI apps. |
| Microsoft 365 connected AI app review and control | Not documented. Not described. |
| Google Workspace connected AI app review and control | Not documented. Not described. |
| Governance scorecard, attestation and board reporting | Partial. AI inventory, AI BOM and framework-mapped red team risk reports; no board report or attestation workflow documented. |
| AI agent and MCP security | Yes. MCP Catalog discovery, risk scanning, runtime tool allow and block lists, agentic guardrails. |
| Prompt injection defense | Yes. Runtime protection against prompt injection and jailbreaking. |
| AI red teaming | Yes. Algorithmic single and multi-turn red teaming; free Explorer Edition. |
| SIEM integration | Yes. Splunk named as a security console integration in the data sheet. |
SaaS managed in Cisco Security Cloud Control; runtime guardrails enforced at API calls and inter-service communications, with VPC and AI POD options that keep inference traffic in the customer environment; integration with NVIDIA NeMo Guardrails. Workforce controls require Cisco Secure Access SSE. Typical rollout time not documented.
Custom enterprise AI applications, models and agents from development to runtime; MCP servers (discovery, risk scanning, runtime tool allow and block lists); AI supply chain (AI BOM of models, MCP servers and dependencies); cloud AI platforms Amazon Bedrock, Google Vertex and Azure AI Foundry; cloud, VPC and on-premises AI POD deployments; employee use of third-party GenAI apps via AI Access in Cisco Secure Access; agent-to-tool traffic via AI-aware SASE (announced 2026-02).
Cisco’s AI security product for inventory, supply chain risk, red teaming and runtime protection of AI apps, models, agents and MCP servers, launched January 2025.
Through AI Access, a feature set of Cisco Secure Access SSE, it can discover shadow AI and block or redirect requests to approved services.
AI Defense: Explorer Edition, launched 2026-03-23, offers self-service algorithmic red teaming at no upfront cost. Runtime protection is quote-based.
MITRE ATLAS, OWASP Top 10 for LLMs, OWASP Top 10 for Agentic AI, NIST AI RMF and Cisco’s Integrated AI Security and Safety Framework.
