Best Cisco AI Defense Alternatives ranked by AI · updated Aug 2026

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Cisco AI Defense helps organizations secure AI applications, models, and user interactions across development and production. It is aimed at enterprise security teams and combines AI threat detection, policy controls, and security monitoring.

Developer: Cisco Price: N/A 🎯 cisco.com/site/us/en/products/security/ai-defense/index.html

LLM Security cybersecurity enterprise security ai governance ai security

Top 6 Cisco AI Defense alternatives

Protective.ai

Protective AI

Protective AI is an AI security platform designed to help organizations monitor and protect generative AI applications and models. It targets security,...

Pros

Designed specifically for securing generative AI applications
Addresses both security monitoring and policy enforcement
More focused on AI risks than traditional web application security tools

Cons

Public pricing and detailed product information are limited
May require enterprise security and engineering resources to deploy
Smaller ecosystem than established cybersecurity vendors

N/A

Alternatives to Protective.ai → Visit site

Lakera

Lakera provides security and safety controls for generative AI applications, including prompt-injection and sensitive-data protection. It is aimed at enterprises that need...

Pros

Strong focus on real-time prompt-injection and jailbreak detection
Well suited to production API and agent deployments
Offers policy enforcement and visibility alongside threat detection

Cons

Enterprise pricing is not publicly listed
Less suitable for teams primarily seeking open-source customization
May require integration work across complex application architectures

Custom pricing

Alternatives to Lakera → Visit site

Protect AI

Protect AI is an AI and machine-learning security platform covering models, supply chains, applications, and deployment infrastructure. It serves security and machine-learning...

Pros

Covers model supply-chain and infrastructure risks beyond prompt safety
Includes open-source tools such as ModelScan for model artifact scanning
Strong fit for security teams managing enterprise ML estates

Cons

Can be more infrastructure-focused than NeuralTrust
Requires security and ML engineering expertise to use fully
Enterprise platform pricing is not transparent

Custom pricing

Alternatives to Protect AI → Visit site

HiddenLayer

HiddenLayer provides security and threat detection for machine-learning and generative AI systems. Its platform targets enterprise security teams with model protection, AI...

Pros

Strong emphasis on AI-specific threat detection and threat intelligence
Supports both traditional ML and generative AI security use cases
Appropriate for organizations with dedicated security operations teams

Cons

Less accessible for small teams than developer-first guardrails tools
Public pricing and detailed feature comparisons are limited
May require broader security tooling integration than NeuralTrust

Custom pricing

Alternatives to HiddenLayer → Visit site

Prompt Security

Prompt Security provides security controls for generative AI use in organizations, including protection against prompt injection, data leakage, and unsafe employee or...

Pros

Focuses specifically on protecting enterprise use of generative AI
Addresses data leakage and shadow-AI risks in addition to prompt attacks
Useful for security teams seeking policy enforcement across AI usage

Cons

Narrower product scope than NeuralTrust's broader trust and testing approach
Custom pricing makes small-team evaluation harder
May be less useful for teams building rather than governing AI usage

Custom pricing

Alternatives to Prompt Security → Visit site

Prisma AIRS

Palo Alto Networks

Prisma AIRS is Palo Alto Networks' security platform for AI applications, models, and agents. It targets enterprise security teams with protections for...

Pros

Broad coverage spanning AI applications, agents, and models
Integrates with a large established cybersecurity portfolio
Strong option for organizations already using Palo Alto Networks tools

Cons

Likely more expensive and complex than specialist startups
Best value depends on an existing Palo Alto Networks environment
May be excessive for small AI application teams

N/A

Alternatives to Prisma AIRS → Visit site

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