| What it does | Mobile app security scanner with AI-powered risk interpretation
| Catch your AI agents' mistakes, block the dangerous ones
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
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| Pricing model | Freemium
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| Pricing | Free: 2 free scan credits for iOS or Android apps. PRO: $9.99/month (billed monthly, reduced from $19.99), includes unlimited scan projects with retained history, full security analytics with trend dashboards, and export capabilities.
| Free: $0/month with 5,000 conversations/month, Langfuse or LangSmith integration, problems and Slack alerts, rules that block costly actions, no credit card required. Starter: $49/month for 25,000 conversations/month plus email support. Growth: $149/month for 100,000 conversations/month plus priorit
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| Key features | - No source code or SDK integration required
- Layered security checks combining static analysis, signature detection, and compliance evaluation
- AI-generated plain language summaries of security findings
- Six core security domains: attack surface, code quality, compliance mapping, runtime indicators, network security, and third-party libraries
- Prioritized vulnerability recommendations
- Full access to raw scan data alongside AI insights
- Security dashboard with trend analysis
- Downloadable and editable Word format reports
- Real-time security findings monitoring
- Ticket-based support with 24-hour response targets
| - Monitor AI agent conversations without code by connecting Langfuse or LangSmith
- Judge conversations on six criteria: accuracy, goal alignment, decision quality, completeness, helpfulness, and factuality
- Create code-based rules that block risky actions before they run
- Group failures into problems with suggested rules and failure counts
- Send Slack alerts for serious mistakes and reply checks immediately
- Add to agents with one line of Python code for OpenAI Agents SDK, LangChain and LangGraph
- Mask sensitive data like email addresses, phone numbers and card numbers before sending to Kalytera
- Rules continue running offline if Kalytera goes down
- Correct judge verdicts by marking conversations as passed or failed
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| What makes it different | - AI translates complex security findings into plain language to help teams quickly understand what each issue means and why it matters
- Automatic risk prioritization helps teams focus on the most critical vulnerabilities instead of wasting time on low-impact issues
- No setup or configuration required - simply upload an app package to start scanning immediately
- Scans complete within minutes and integrate naturally into release workflows
- User retains full control over all security decisions while receiving AI-powered clarity and context
| - Rules are code-based, not AI, so they cannot be overridden or argued with
- No code setup using Langfuse or LangSmith connections for immediate visibility
- Rules continue protecting agents even when Kalytera is offline
- Catches exact mistakes from real AI agent incidents like database deletes, account takeovers and crypto theft
- Customer data stays on your servers; Kalytera only reads conversations, never writes or stores sensitive data
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 7 ● no change since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 27 | 14 |
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| Referring domains (Majestic) | 44 | 28 |
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