AI Defense
Security for the AI you build and use — validation, runtime guardrails, and visibility.
Cisco AI Defense secures your AI transformation — protecting the AI applications and agents you build and the AI tools your people use. It validates models and applications through algorithmic red-teaming, enforces runtime guardrails against prompt injection, jailbreaking, and data leakage, and gives visibility across your AI estate. Faltrox operates it as the security layer for enterprise AI adoption.
Overview
What AI Defense is
As organisations build AI-driven applications and adopt AI tools, they face risks existing controls do not address — prompt injection, jailbreaking, supply-chain compromise of models, sensitive-data leakage, and unsafe outputs. Cisco AI Defense is purpose-built for this: it secures both the AI you develop and the AI your workforce uses, across the whole AI estate.
Its core capabilities span detection and protection. Application Validation uses Cisco algorithmic red-teaming and supply-chain scanning to detect vulnerabilities in models and AI applications before deployment; runtime guardrails then enforce security, privacy, and safety controls — updated with the latest threat intelligence from Cisco’s AI threat research team — against attacks like prompt injection and jailbreaking, including scanning MCP servers and enforcing protections across MCP requests. AI Cloud Visibility and AI Access controls surface and govern AI usage across the organisation. Faltrox operates it as the guardrail layer for enterprise AI.
Coverage
What it protects
The platforms, threats, and surfaces this product is built to defend.
AI Applications & Agents
Secures the AI-driven applications and autonomous agents your organisation builds.
AI Models
Validates models through algorithmic red-teaming and supply-chain scanning before deployment.
Prompt Injection & Jailbreaking
Runtime guardrails defend against prompt injection, jailbreaking, and unsafe outputs.
Data Leakage
Privacy guardrails prevent sensitive-data leakage through AI applications.
MCP & Supply Chain
Scans MCP servers for malicious assets and enforces protection across MCP requests.
AI Usage Visibility
AI Cloud Visibility and Access controls surface and govern AI tool usage across the estate.
How it works
The mechanism
How the product moves from signal to protected state, step by step.
- 01
Discover
AI Cloud Visibility surfaces the AI applications, models, and tools in use across the organisation.
- 02
Validate
Application Validation uses algorithmic red-teaming and supply-chain scanning to find vulnerabilities before deployment.
- 03
Protect
Runtime guardrails enforce security, privacy, and safety controls against prompt injection, jailbreaking, and data leakage.
- 04
Govern
AI Access controls govern which AI tools people can use and how, reducing shadow-AI risk.
- 05
Operate
Faltrox tunes the guardrails, validates AI applications, and monitors AI usage and threats across the estate.
Capabilities
Key capabilities
Application Validation
Cisco algorithmic red-teaming detects vulnerabilities in models and AI applications before deployment.
Supply-Chain Scanning
Scans AI models and MCP servers for compromised or malicious assets in the AI supply chain.
Runtime Guardrails
Enforces security, privacy, and safety controls on live AI applications, updated with threat intelligence.
Prompt-Injection Defense
Protects against prompt injection, jailbreaking, and manipulation of AI applications and agents.
Data-Leakage Prevention
Privacy guardrails prevent sensitive information from leaking through AI interactions.
MCP Protection
Enforces runtime protections across Model Context Protocol requests and scans MCP servers.
AI Cloud Visibility
Surfaces AI applications and tools in use across the organisation, including shadow AI.
AI Access Controls
Governs which AI tools people can use and how, applying policy to AI adoption.
Works with
Part of the platform
Cisco products this pairs with, and the Faltrox services that operate it.
Delivery
You buy the outcome, not the console
Managed by Faltrox
Faltrox licenses, deploys, and tunes Cisco AI Defense for your environment, then runs it as part of a managed service, so you get the protection without staffing another security console.
FAQ
Common questions
01What does AI Defense protect — the AI we build or the AI we use?
Both. It secures the AI-driven applications and agents your organisation builds (through validation and runtime guardrails) and governs the AI tools your workforce uses (through visibility and access controls) — covering the full AI estate.
02What AI-specific risks does it address?
Risks existing controls do not cover: prompt injection, jailbreaking, supply-chain compromise of models, sensitive-data leakage, and unsafe outputs. It detects these through algorithmic red-teaming and supply-chain scanning, and blocks them at runtime with guardrails.
03What is MCP protection?
The Model Context Protocol connects AI agents to tools and data. AI Defense scans MCP servers for compromised or malicious assets and enforces runtime protections across MCP requests — securing the emerging agentic-AI supply chain that traditional controls do not see.
04How does it help govern shadow AI?
AI Cloud Visibility surfaces the AI applications and tools actually in use across the organisation — including unsanctioned ones — and AI Access controls govern which can be used and how, turning uncontrolled AI adoption into a governed one.
05How does Faltrox operate it?
We validate your AI applications before deployment, tune the runtime guardrails, and monitor AI usage and threats across the estate — operating it as the security and governance layer for your enterprise AI adoption, alongside our AI/LLM penetration testing service.
Start an engagement
Secure what’s next.
Speak with the engineering team to define scope, walk through the methodology, and decide whether Faltrox is the right team to test and run your environment.
Contact us