Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
Beagle Security records 38,309 monthly visits with -35.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. Fleak records 3,778 monthly visits with -24.4% growth and Freemium, Contact for Pricing pricing.

Self-healing security data pipelines that cut SIEM cost
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | beaglesecurity.com | fleak.ai |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 38.31K (38,309) | 3.78K (3,778) |
| MoM Traffic Delta | -21.32K (-35.8%) | -1.22K (-24.4%) |
| Primary Market & Share | 🇮🇳 India (15.9%) | 🇺🇸 United States (86.2%) |
| Direct Visits / mo | 8.4K | 1.5K |
| User Rating | 4.4 | 4.2 |
| Supported Platforms | Website | Website |

Agentic AI penetration testing for web apps, APIs and GraphQL
An AI engine trained on 350,000+ pentest workflows runs multi-stage, human-like attack sequences across web apps, APIs and GraphQL services.
You teach the AI your application's unique flows by recording a real session, so tests navigate genuine business logic rather than only crawling links.
Findings arrive scored with CVSS and OWASP ratings and explained down to tech-stack and code level, with step-by-step fix guidance rather than raw alert lists.
Push vulnerabilities into Jira, Azure Boards, Slack, Teams or Postman, or trigger tests from your CI/CD pipeline as features ship.

Self-healing security data pipelines that cut SIEM cost
Fleak evaluates each event type against what every downstream tool needs, then sends real-time correlation to the SIEM, hunt data to the lake, compliance logs to the archive and noise nowhere.
When an upstream source changes its schema, Fleak detects the drift, generates corrected configuration and redeploys — the vendor cites an average heal time around three minutes.
Every source is normalized into a single schema on arrival, so 280 sources stop meaning 280 parsers and 280 detection variations.
Pipelines can be described in plain English and built automatically, with an MCP server and AI observability for agent sessions.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams

Automate work across thousands of apps — no code required

All-in-one AppSec platform that finds and auto-fixes vulnerabilities
All-in-one AppSec platform that finds and auto-fixes vulnerabilities
Build, share, and control AI agents that actually do the work
Build, share, and control AI agents that actually do the work

AI security platform that finds exposures, proves they're exploitable, and ships the fix
AI security platform that finds exposures, proves they're exploitable, and ships the fix
AI-augmented quality platform for web, mobile, API and desktop testing

Attack-led AI security testing and red teaming
Attack-led AI security testing and red teaming

Free / Open-sourceOpen-source data integration engineered for AI agents and analytics
Free / Open-sourceOpen-source data integration engineered for AI agents and analytics
SpecialistNo-code connector that links your apps and automates routine work without developers
SpecialistNo-code connector that links your apps and automates routine work without developers

AI-native offensive security: continuous red teaming, white-box pentests, and PR review

Write end-to-end test automation in plain English, no code required
Write end-to-end test automation in plain English, no code required

No-code AI web scraping that builds, runs, and repairs its own bots
No-code AI web scraping that builds, runs, and repairs its own bots