The Tool Desk
Outbyte Driver Updater FREEScan for outdated or missing drivers - takes under a minuteDriver Scan →Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →Cisco introduced AI Defense on January 15, 2025, as an enterprise security offering for building, deploying, and using AI applications. Cisco’s launch description covers AI asset discovery, model testing, runtime safeguards, employee-use visibility, access controls, and data protection. A February 10, 2026 expansion added capabilities aimed at AI supply chains and agentic applications. These are Cisco’s stated features; the cited announcements do not independently establish how effectively they work.
What Cisco AI Defense is
Cisco AI Defense is enterprise software intended to help organizations secure AI applications across development and use. It is not a consumer device. Cisco describes the offering as part of Cisco Security Cloud and says it draws on Cisco Talos threat intelligence. The launch announcement said it would be available in March 2025, but that dated statement does not establish current packaging, availability, or feature status.
Cisco Executive Vice President and Chief Product Officer Jeetu Patel said at launch, “Business and technology leaders can’t afford to sacrifice safety for speed when embracing AI.”
What Cisco said it included at launch
The January 15, 2025 announcement described protections for both teams developing AI applications and employees using AI tools. Its stated capabilities included:
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- AI application discovery: Find sanctioned and shadow AI applications across public and private clouds.
- Model testing: Automate testing for hundreds of potential safety and security issues.
- Runtime safeguards: Help guard applications against prompt injection, denial of service, and sensitive-data leakage.
- Employee-use visibility and controls: See how employees use AI applications and restrict access to unsanctioned tools.
- Data and threat protection: Apply protections to AI-related data and threats.
These descriptions are Cisco’s product claims, not independently measured results. Cisco reported that 29% of respondents in its 2024 AI Readiness Index felt fully equipped to detect and prevent unauthorized tampering with AI. That figure describes respondents to Cisco’s survey; it is not a measurement of AI Defense’s effectiveness.
What the 2026 expansion added for AI agents and supply chains
On February 10, 2026, Cisco announced additional AI Defense capabilities focused on AI supply chains and agentic applications. The company described:
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- An AI bill of materials covering AI software assets, including MCP servers and third-party dependencies.
- An MCP catalog for discovering and managing risks associated with MCP servers.
- Adaptive red-team testing for models and agents, including single- and multi-turn tests in multiple languages.
- Real-time agent guardrails intended to inspect agent interactions and detect manipulation or unsafe behavior.
- A developer integration between its runtime protections and NVIDIA NeMo Guardrails.
Cisco says AI Defense maps to NIST, OWASP, and MITRE frameworks, and that the latest updates also map to Cisco’s Integrated AI Security and Safety Framework. These framework-alignment descriptions are Cisco’s claims. Cisco’s February 2026 release also cautions that some products and features mentioned were still in development and that availability and timing could change. Confirm the status of a specific feature with Cisco before treating it as generally available.
How AI Defense differs from traditional application security
AI Defense is framed around AI-specific assets and risks, such as model behavior, prompt injection, AI dependencies, and agent interactions, while also addressing familiar enterprise concerns such as data protection and access control. That framing suggests a complementary role alongside an organization’s existing application-security and security operations tools, rather than proof that AI Defense replaces them.
The cited Cisco materials do not provide a neutral comparison with traditional application-security products or named competitors. Organizations evaluating options should compare lifecycle coverage, AI asset and dependency inventory, model and agent testing, runtime policies, user and data controls, integrations, supported environments, and the maturity of each feature.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What to verify before evaluating or adopting it
Cisco’s resource page provides a solution overview, datasheet, white papers, learning materials, demo request, and partner contact. For a procurement or pilot review, ask Cisco or a partner to confirm:
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- Which launch and 2026-announced capabilities are currently available for the organization’s region and intended deployment.
- Which cloud environments and AI application patterns are supported, including any constraints on models, agents, and MCP components.
- How testing findings and runtime alerts are presented, prioritized, and connected to existing security workflows.
- What controls can be applied to employee use, data movement, and unsanctioned AI applications.
- What integration work, operational ownership, and policy tuning are required for the organization’s use cases.
For current product information and evaluation options, see Cisco AI Defense resources. The launch announcement is available in the Cisco Newsroom, and the later expansion details are in Cisco’s February 2026 announcement.
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