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Public-source research

Vendor evidence

Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.

Research library coverageCounts describe the research workflow, not vendor quality or product effectiveness.View details
Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6

Showing 1–18 of 18 evidence records

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Cisco AI DefenseUnapproved AI use discoverySource checkedStrong public support for this requirement

Cisco claims AI Defense can surface third-party AI applications in use and discover AI workloads, applications, models, data, and users across distributed environments.

Automatically surface third-party AI applications in use across your organization.
Cisco AI DefenseApproved AI usage monitoringSource checkedStrong public support for this requirement

Cisco claims AI Defense discovers AI workloads, applications, models, data, and users across distributed cloud environments.

Discover the AI workloads, applications, models, data, and users across your distributed cloud environments.
Cisco AI DefenseControls for unapproved AI useSource checkedLimited public support for this requirement

Cisco claims AI Access can enforce policies that limit sensitive data exposure and protect against external threats for third-party AI applications.

Enforce policies that limit sensitive data exposure and protect against external threats.
Cisco AI DefenseSensitive-data protection for generative AISource checkedStrong public support for this requirement

Cisco claims AI Defense prevents sensitive data loss and protects AI applications against data leakage.

Protect AI applications against rapidly evolving threats, including prompt injections, denial of service, and data leakage.
Cisco AI DefenseBrowser and business-application controlsSource checkedLimited public support for this requirement

Cisco claims AI Defense can manage employee access to third-party AI applications and prevent sensitive data loss.

Define policies that manage employee access, protect against threats, and prevent sensitive data loss.
Cisco AI DefenseGenerative AI application securitySource checkedStrong public support for this requirement

Cisco claims AI Defense validates AI models and applications and protects production AI applications with network-embedded guardrails.

Protect production AI applications with guardrails embedded in the network.
Cisco AI DefenseAction-taking agent monitoringSource checkedLimited public support for this requirement

Cisco AI Defense mentions red teaming AI models and agents, but reviewed materials do not show broad autonomous-agent telemetry or graph visibility.

Try AI red teaming for your models and agents today
Cisco AI DefenseAgent-to-agent communication securityNo supporting claim found

Cisco AI Defense official materials reviewed did not provide a clear Model Context Protocol (MCP), agent-to-agent (A2A), or agent-to-agent security control claim.

No quoted source text is recorded for this claim.
Cisco AI DefenseAI governance, risk, and complianceSource checkedLimited public support for this requirement

Cisco claims standards-aligned findings, risk scoring, policy-driven gating, and compliance support across model, agent, and Model Context Protocol (MCP) workflows.

Findings and protections map to leading frameworks, including MITRE ATLAS, OWASP Top 10 for LLMs, and NIST AI-RMF
Cisco AI DefenseAI assurance and adversarial testingSource checkedStrong public support for this requirement

Cisco claims algorithmic red teaming for models and applications across more than 200 threat subcategories with model-specific guardrail generation.

Automatically test models and applications at AI scale with Cisco algorithmic red teaming.
Cisco AI DefenseAI model and supply-chain securitySource checkedStrong public support for this requirement

Cisco claims scanning of model files, repositories, datasets, Model Context Protocol (MCP) servers, and tools for malicious code, poisoning, backdoors, and compromised components before production.

Scan AI model files, repositories, and MCP servers for hidden risks before they are introduced into development or production.
Cisco AI DefenseAI gateway, tool-connection, and runtime controlsSource checkedStrong public support for this requirement

Cisco claims real-time Model Context Protocol (MCP) enforcement, tool allowlists and blocklists, and runtime policies across prompts, responses, agent actions, and tool calls.

MCP runtime enforcement: Monitor and enforce safe behavior across MCP requests and responses connecting LLMs, agents, and tools.
Cisco AI DefenseAI agent identity and permissionsSource checkedLimited public support for this requirement

Cisco claims runtime policies that detect and block unsafe agent actions, unauthorized tool usage, and privilege escalation.

Prevent harmful or unintended agent actions by enforcing policies on tool invocation, privilege levels, and action chains.
Cisco AI DefenseAI coding-agent and workstation securityNo supporting claim found

Cisco AI Defense materials reviewed did not provide a public claim for governing coding-agent commands, developer-workstation files or networks, integrated development environment (IDE) extensions, skills, hooks, secrets, or package actions.

No quoted source text is recorded for this claim.
Cisco AI DefenseAI cost and usage controlsNo supporting claim found

Cisco AI Defense materials reviewed did not provide a public product claim for AI usage-cost attribution, token or spend metrics, budgets, chargeback, or cost-aware model routing.

No quoted source text is recorded for this claim.
Cisco AI DefenseLicensing modelSource checkedStrong public support for this requirement

Cisco documents AI Defense as a software subscription offered in packages, including an AI Validation package, with ordering quantities and software subscription terms defined in official offer and ordering materials.

If You purchase an AI Defense subscription package with AI Validation