Esther.ai - AI Powered Cybersecurity Testing PlatformInformation TechnologyUpdated on Jun 10, 2025 View more like this | Visit MONTCLAIR, NJ | Contact Esther.ai Corporation |
Esther.ai Testing Platform
AI-Powered. No-Code. Developer-First.
Overview
Esther.ai integrates cybersecurity testing seamlessly into the software development lifecycle (SDLC), using generative AI and automation to identify, prioritize, and help remediate vulnerabilities before attackers can exploit them.
By combining SAST, DAST, dependency scanning, and AI-augmented penetration testing, Esther.ai enables lean development teams to achieve scalable, continuous security posture without the need for scripting, complex tools, or dedicated security staff.
One Command Is All It Takes
With Esther.ai, you simply say:
"Test my website"
"Run a pen test on my platform"
Esther handles the rest. No manual scripting. No security expertise required. 100% no-code.
What Esther Does Automatically
1. Code & Dependency Scanning (SAST + SCA)
Analyze source code and libraries for known vulnerabilities
Parse package.json, requirements.txt, Dockerfiles, and .env files
Detect CVEs, insecure coding patterns, secrets, and misconfigurations
Prioritize issues using CVSS scoring and AI context
2. Dynamic App Testing (DAST)
Run OWASP Top 10 tests on live/staging environments
Detect real-time threats like SQLi, XSS, CSRF, broken authentication
Emulate browser behavior to test UX-level attack surfaces
3. AI-Augmented Penetration Testing
Generate and simulate attack payloads using LLMs
Chain multiple weaknesses into full attack paths
Use tools like OWASP ZAP, Nikto, and Bandit via orchestration
4. Secrets & Configuration Testing
Identify exposed API keys, tokens, passwords
Scan infrastructure-as-code (Terraform, Docker) for misconfigurations
Detect excessive privileges and insecure protocols
5. Authentication & Access Control Testing
Simulate user role abuse and unauthorized access
Validate session management, OAuth2, and JWT flows
6. AI-Powered Reporting
Natural language vulnerability reports
Risk scoring with business impact
Developer-ready remediation suggestions
Executive summaries for compliance and leadership
What We Accomplish
Objective: Rapid vulnerability discovery > Outcome: Full stack testing in minutes
Objective: Zero manual scripting > Outcome: 100% no-code automation
Objective: Scalable security hygiene > Outcome: Built for dev teams without dedicated AppSec staff
Objective: Faster risk triage > Outcome: AI classifies, explains, and prioritizes automatically
Objective: Continuous posture monitoring > Outcome: Esther tests continuously as code or infra changes
Objective: Compliance-aligned insights > Outcome: OWASP Top 10, NIST, ISO-based coverage
Find It. Fix It. - The Holy Grail of Cybersecurity
Find It AI-Driven Discovery
Esther automatically scans your full tech stack to detect:
Vulnerable code and dependencies
Misconfigured infrastructure
API abuse, access control flaws
Leaked secrets and PII exposure
OWASP Top 10 vulnerabilities
Fix It AI-Powered Remediation (Where Possible)
Code-level fix recommendations
Auto-generated pull requests via Git
Hardening suggestions for infra and cloud
Exportable CI/CD-ready remediation
Human Expertise is Still Essential
While Esther automates 80 - 90% of the initial testing surface, some vulnerabilities require human expertise:
Hardware- or infrastructure-based fixes
Complex access policies
Zero-day logic flaws
Strategic risk decisions
Even with full CI/CD integration, some risks demand human judgment and layered defenses.
Human-in-the-Loop Security
Esther is designed to:
Surface a clear, prioritized backlog of security issues
Deliver context-aware remediation instructions
Integrate with DevOps workflows
Support human review and sign-off for high-risk items
Why Esther is Different
No-code interface no scripting or config needed
LLM-powered analysis real-world attack paths and reasoning
Actionable results fix or escalate with clarity
Human-first design built to empower, not replace, AppSec experts
Final Thoughts
Esther.ai doesn’t claim to replace cybersecurity professionals. We supercharge them.
By making AI do the heavy lifting, Esther enables teams to focus on decisions, not detection.
This is what "Find It, Fix It" truly means:
Fast, intelligent discovery. Context-aware, executable action.
Esther.ai: Developer-first. Security always.
AI-Powered. No-Code. Developer-First.
Overview
Esther.ai integrates cybersecurity testing seamlessly into the software development lifecycle (SDLC), using generative AI and automation to identify, prioritize, and help remediate vulnerabilities before attackers can exploit them.
By combining SAST, DAST, dependency scanning, and AI-augmented penetration testing, Esther.ai enables lean development teams to achieve scalable, continuous security posture without the need for scripting, complex tools, or dedicated security staff.
One Command Is All It Takes
With Esther.ai, you simply say:
"Test my website"
"Run a pen test on my platform"
Esther handles the rest. No manual scripting. No security expertise required. 100% no-code.
What Esther Does Automatically
1. Code & Dependency Scanning (SAST + SCA)
Analyze source code and libraries for known vulnerabilities
Parse package.json, requirements.txt, Dockerfiles, and .env files
Detect CVEs, insecure coding patterns, secrets, and misconfigurations
Prioritize issues using CVSS scoring and AI context
2. Dynamic App Testing (DAST)
Run OWASP Top 10 tests on live/staging environments
Detect real-time threats like SQLi, XSS, CSRF, broken authentication
Emulate browser behavior to test UX-level attack surfaces
3. AI-Augmented Penetration Testing
Generate and simulate attack payloads using LLMs
Chain multiple weaknesses into full attack paths
Use tools like OWASP ZAP, Nikto, and Bandit via orchestration
4. Secrets & Configuration Testing
Identify exposed API keys, tokens, passwords
Scan infrastructure-as-code (Terraform, Docker) for misconfigurations
Detect excessive privileges and insecure protocols
5. Authentication & Access Control Testing
Simulate user role abuse and unauthorized access
Validate session management, OAuth2, and JWT flows
6. AI-Powered Reporting
Natural language vulnerability reports
Risk scoring with business impact
Developer-ready remediation suggestions
Executive summaries for compliance and leadership
What We Accomplish
Objective: Rapid vulnerability discovery > Outcome: Full stack testing in minutes
Objective: Zero manual scripting > Outcome: 100% no-code automation
Objective: Scalable security hygiene > Outcome: Built for dev teams without dedicated AppSec staff
Objective: Faster risk triage > Outcome: AI classifies, explains, and prioritizes automatically
Objective: Continuous posture monitoring > Outcome: Esther tests continuously as code or infra changes
Objective: Compliance-aligned insights > Outcome: OWASP Top 10, NIST, ISO-based coverage
Find It. Fix It. - The Holy Grail of Cybersecurity
Find It AI-Driven Discovery
Esther automatically scans your full tech stack to detect:
Vulnerable code and dependencies
Misconfigured infrastructure
API abuse, access control flaws
Leaked secrets and PII exposure
OWASP Top 10 vulnerabilities
Fix It AI-Powered Remediation (Where Possible)
Code-level fix recommendations
Auto-generated pull requests via Git
Hardening suggestions for infra and cloud
Exportable CI/CD-ready remediation
Human Expertise is Still Essential
While Esther automates 80 - 90% of the initial testing surface, some vulnerabilities require human expertise:
Hardware- or infrastructure-based fixes
Complex access policies
Zero-day logic flaws
Strategic risk decisions
Even with full CI/CD integration, some risks demand human judgment and layered defenses.
Human-in-the-Loop Security
Esther is designed to:
Surface a clear, prioritized backlog of security issues
Deliver context-aware remediation instructions
Integrate with DevOps workflows
Support human review and sign-off for high-risk items
Why Esther is Different
No-code interface no scripting or config needed
LLM-powered analysis real-world attack paths and reasoning
Actionable results fix or escalate with clarity
Human-first design built to empower, not replace, AppSec experts
Final Thoughts
Esther.ai doesn’t claim to replace cybersecurity professionals. We supercharge them.
By making AI do the heavy lifting, Esther enables teams to focus on decisions, not detection.
This is what "Find It, Fix It" truly means:
Fast, intelligent discovery. Context-aware, executable action.
Esther.ai: Developer-first. Security always.
