Lakera Guard vs Winston AI
Compare security AI Tools
LLM security layer that blocks prompt injection data leaks and jailbreaks with a simple API policies dashboards and community to production tiers.
Winston AI is a content integrity tool that detects AI generated text and checks plagiarism, using a credit system where AI detection costs 1 credit per word and offering a free plan at $0 plus paid plans that start around $10 per month.
Feature Tags Comparison
Key Features
- Single API call to detect injection leaks and jailbreaks
- Policies per application route to tailor risk tolerance
- Dashboards with attack analytics for compliance needs
- Low latency design to protect real time assistants
- Custom rules and allow lists for domain specifics
- SSO alerting and SLAs on paid production plans
- Credit pricing clarity: Official pricing lists AI detection at 1 credit per word and plagiarism at 2 credits per word for predictable usage math
- Free plan available: Official pricing shows a Free plan at $0 for getting started and testing workflows
- AI image detection: Official pricing notes AI image detection costs 300 credits per image for visual screening
- Reports and evidence: Integrity workflows rely on shareable reports and documentation for review and audit needs
- Weekly updates claim: Official site states detection algorithms are updated weekly which affects ongoing accuracy and drift
- Policy driven workflows: Best outcomes come from clear interpretation rules and human review for borderline results
Use Cases
- Protect a public chatbot from injection and jailbreak attempts
- Shield agents that browse tools and APIs from exfiltration
- Meet compliance by logging and reporting blocked risks
- Tune policies to reduce false positives in key paths
- Create allow lists for approved actions or domains
- Alert security teams with webhooks when threats spike
- Editorial screening: Screen submitted articles then route borderline flags to editors for human review and documentation
- Academic integrity: Check essays with a consistent policy and store reports for appeals and audit trails
- Agency QA: Verify client deliverables for originality before publication and keep evidence tied to project records
- Compliance review: Scan sensitive communications and require human signoff when confidence is low or stakes are high
- Plagiarism checks: Run plagiarism scans on drafts and citations to reduce accidental duplication risk in publishing
- Image integrity checks: Screen images for AI generation when brand policy restricts synthetic visuals in certain contexts
Perfect For
security engineers platform teams AI product owners compliance and risk leaders responsible for safe LLM deployments in production
publishers, editors, educators, academic integrity teams, content marketing teams, SEO agencies, compliance reviewers, enterprises managing originality policies
Capabilities
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