Best AI Security Solutions 2026
AI security solutions protect both AI systems from attacks and use AI to enhance cybersecurity. From prompt injection prevention to AI-powered threat detection, these tools address the unique security challenges of the AI era.
Methodology
How we evaluated
- Threat coverage
- Detection accuracy
- LLM-specific protections
- Integration ease
- Compliance support
Rankings
Our top picks
Protect AI
AI security platform that scans ML models, pipelines, and deployments for vulnerabilities. Provides supply chain security for AI including model scanning and runtime protection.
Best for: ML teams wanting to secure their model development and deployment pipeline
Features
- Model scanning
- Pipeline security
- Supply chain protection
- Vulnerability detection
- Runtime monitoring
Pros
- Comprehensive AI supply chain security
- Open source tools available
- Strong research backing
Cons
- Newer product category
- Requires ML pipeline maturity
Lakera Guard
AI application firewall that protects LLM applications from prompt injection, data leakage, and harmful content generation. Works as a protective layer around any LLM API.
Best for: Teams deploying LLM applications needing protection against prompt injection
Features
- Prompt injection detection
- Data leakage prevention
- Content moderation
- API firewall
- Real-time protection
Pros
- Excellent prompt injection detection
- Easy to integrate
- Low latency
Cons
- LLM-specific focus
- Evolving threat landscape
CrowdStrike Charlotte AI
AI-powered cybersecurity assistant within the CrowdStrike Falcon platform. Uses generative AI to accelerate threat investigation, automate response, and provide security insights.
Best for: Security teams wanting AI-accelerated threat detection and response
Features
- AI threat investigation
- Automated response
- Natural language queries
- Threat hunting
- Incident summarisation
Pros
- Built on industry-leading threat data
- Good natural language interface
- Reduces analyst workload
Cons
- Requires CrowdStrike platform
- Enterprise pricing
Darktrace
Cambridge-based AI cybersecurity company that uses unsupervised machine learning to detect novel threats. Self-learning AI understands normal network behaviour and detects anomalies.
Best for: Organisations wanting AI-powered network security that detects novel threats
Features
- Self-learning AI
- Network anomaly detection
- Email security
- Cloud security
- Autonomous response
Pros
- Excellent anomaly detection
- Self-learning reduces setup
- UK-founded and regulated
Cons
- Premium enterprise pricing
- Can generate false positives initially
Robust Intelligence (NVIDIA)
AI security platform for validating and protecting AI models in production. Provides automated testing, real-time monitoring, and guardrails for enterprise AI deployments.
Best for: Enterprises needing comprehensive AI model validation and runtime protection
Features
- AI model validation
- Automated red teaming
- Runtime guardrails
- Compliance testing
- Model risk scoring
Pros
- Comprehensive AI validation
- NVIDIA backing
- Good for regulated industries
Cons
- Enterprise-only pricing
- Complex setup
Compare
Quick comparison
| Tool | Best For | Pricing |
|---|---|---|
| Protect AI | ML teams wanting to secure their model development and deployment pipeline | Open source tools free, enterprise plans available |
| Lakera Guard | Teams deploying LLM applications needing protection against prompt injection | Free tier (10k calls), Pro from $20/month |
| CrowdStrike Charlotte AI | Security teams wanting AI-accelerated threat detection and response | Included in CrowdStrike Falcon plans |
| Darktrace | Organisations wanting AI-powered network security that detects novel threats | Custom enterprise pricing |
| Robust Intelligence (NVIDIA) | Enterprises needing comprehensive AI model validation and runtime protection | Custom enterprise pricing |
FAQ
Frequently asked questions
Key risks include prompt injection attacks, data leakage through model outputs, adversarial attacks on model inputs, supply chain compromises of model weights, and misuse of AI-generated content.
Prompt injection is when attackers craft inputs that override an LLM's instructions, causing it to ignore safety guidelines, leak data, or perform unintended actions. Tools like Lakera Guard detect and prevent these attacks.
AI analyses vast amounts of security data to detect patterns humans would miss. It identifies novel threats through anomaly detection, automates routine investigation, and reduces mean time to detect and respond to incidents.
Yes, AI red teaming proactively tests AI systems for vulnerabilities, bias, and unsafe behaviour. Tools like Robust Intelligence automate red teaming, and manual testing by security experts adds further assurance.
Follow the NCSC's guidelines on securing AI, implement the OWASP Top 10 for LLM Applications, conduct regular security assessments, and use AI security tools for continuous monitoring and protection.
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