At Agent Bounty, our AI security agents continuously scan your infrastructure for vulnerabilities, delivering 10x faster threat detection at a fraction of traditional penetration testing costs.
What is a bounty hunter?
In cybersecurity, a bounty hunter traditionally refers to a security researcher who finds vulnerabilities in systems and receives payment (a "bounty") for verified discoveries. These are typically skilled ethical hackers who participate in bug bounty programs run by companies like HackerOne or Bugcrowd.
However, Agent Bounty takes a different approach.
Instead of relying on human bounty hunters, we use AI-powered security agents that act as automated bounty hunters. These intelligent agents:
The result? You get the benefits of a bounty program (pay only for verified findings) without the unpredictability of human researchers. Our AI agents deliver consistent, comprehensive security testing that traditional bounty hunters simply can't match.
Think of it as having an elite team of security experts working around the clock, but powered by AI for speed, accuracy, and reliability.
How can I get started with AI-powered security testing from Agent Bounty?
Getting started is simple and takes less than 5 minutes:
No technical integration required - we work with your existing infrastructure without complex setup or downtime. Most customers are fully operational within their first day.
What types of vulnerabilities does Agent Bounty detect?
Our AI security agents detect a comprehensive range of vulnerabilities across your entire digital infrastructure:
Each vulnerability is automatically CVSS scored, verified with proof-of-concept, and classified by business impact to prioritize your remediation efforts.
What specific LLM vulnerabilities does Agent Bounty test for?
Our comprehensive LLM security testing covers the full spectrum of AI-specific threats including:
Prompt injection attacks
Testing for malicious prompts that could bypass safety guardrails
Data extraction vulnerabilities
Identifying risks of sensitive training data exposure
Model behavior manipulation
Detecting attempts to alter AI responses or decision-making
Adversarial inputs
Testing robustness against crafted inputs designed to fool the model
Jailbreaking attempts
Evaluating resistance to prompts designed to bypass content policies
Model inversion attacks
Assessing risks of extracting model architecture or training data
Just like our traditional security testing, you only pay bounties for verified LLM vulnerabilities we discover, ensuring cost-effective AI security coverage.
Are there any benefits of working with Agent Bounty vs traditional penetration testing?
Agent Bounty delivers significant advantages over traditional security testing:
What is the process for implementing continuous security monitoring?
Our implementation follows a proven 30-60-90 day framework:
Throughout the process, you'll have dedicated support from our security success team to ensure optimal configuration and maximum value.
How can I evaluate the effectiveness of my vulnerability detection program?
Agent Bounty provides comprehensive metrics and reporting to measure program effectiveness:
We calculate your overall security posture based on:
Mean Time to Discovery (MTTD)
How quickly vulnerabilities are identified
Mean Time to Remediation (MTTR)
Speed of vulnerability fixes
Coverage Metrics
Percentage of assets under continuous monitoring
Risk Reduction
Quantified improvement in security posture over time
Cost Savings
Comparison vs. traditional penetration testing expenses
Breach Prevention Value
Estimated cost of vulnerabilities if exploited
Compliance Efficiency
Time and cost savings for audit preparation
Real-time visibility into security trends, critical findings, and business impact for leadership reporting and board presentations.
What should I do if Agent Bounty discovers critical vulnerabilities?
When critical vulnerabilities are discovered, follow our proven incident response framework:
Critical Alert
You'll receive immediate notification via email, SMS, and platform dashboard
Impact Assessment
Review the vulnerability details, CVSS score, and business impact
Emergency Contact
Our security team is available 24/7 for critical findings
Proof-of-Concept Review
Examine the exploit demonstration and affected systems
Business Context
Assess impact on operations, customers, and compliance requirements
Stakeholder Notification
Alert relevant security team members and executives
Remediation Guidance
Follow our detailed fix recommendations and best practices
Patch Management
Coordinate with development and operations teams for implementation
Temporary Mitigations
Implement workarounds if immediate patching isn't possible
Fix Verification
Our AI agents automatically verify that vulnerabilities are resolved
Re-testing
Comprehensive scanning to ensure no regression or new issues
Documentation
Complete incident records for compliance and future reference
Support Available: Enterprise customers get dedicated security success managers for hands-on assistance during critical vulnerability response.
Can I scale my security coverage to additional assets later?
Yes, Agent Bounty is designed for flexible scaling as your business grows:
No Setup Fees
Add new domains, applications, or infrastructure at any time
Instant Coverage
New assets are automatically discovered and begin monitoring within minutes
Unified Management
All assets managed through a single dashboard regardless of scale
Upgrade Plans: Move from Starter → Professional → Enterprise as needs grow
10 domains
Perfect for small teams
100 domains
Ideal for growing companies
Unlimited assets
Enterprise-scale organizations
Global Coverage
Monitor assets across multiple regions and cloud providers
Local Compliance
Meet data residency and regulatory requirements worldwide
Performance Optimization
Distributed scanning infrastructure ensures low latency
New Platforms
Support for emerging technologies and cloud services
Custom Integrations
Enterprise customers can request specialized scanning capabilities
API Coverage
Automatically scales to cover new APIs and microservices
Migration Support: Our customer success team assists with scaling planning and implementation to ensure smooth expansion without security gaps.
How does the LLM Testing Integration work with our existing AI models?
Our LLM Testing Integration seamlessly connects to your existing AI model deployments without requiring code changes or downtime. Our AI agents automatically discover and map your LLM endpoints, then continuously test for vulnerabilities including prompt injection attacks, data leakage risks, model poisoning attempts, and adversarial inputs. The integration works with popular LLM platforms like OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, and custom model deployments. Testing runs in parallel with your normal operations, ensuring zero impact on model performance or user experience.
What's the difference between standard LLM testing and Agentic AI system testing?
While both involve AI security, they test fundamentally different attack surfaces and risks:
Focus: The language model itself
Primary Risks:
Prompt injection attacks
Manipulating responses through carefully crafted inputs
Data leakage
Exposure of sensitive information from training data
Model behavior manipulation
Adversarial inputs designed to alter responses
Jailbreaking attempts
Bypassing content policies and safety guardrails
Use Cases:
Chatbots, content generation, Q&A systems, text analysis tools
Example Vulnerability:
An attacker uses a crafted prompt to make a customer service chatbot reveal sensitive company information
Focus: Autonomous AI systems that take actions
Primary Risks:
Agent hijacking
Gaining control of autonomous operations
Tool misuse attacks
Exploiting agent access to APIs, databases, or external systems
Action injection
Causing unauthorized system modifications
Privilege escalation
Exploiting agent permissions to gain higher access
Multi-agent coordination attacks
Exploiting vulnerabilities in complex AI ecosystems
Use Cases:
AI assistants with system access, automated trading bots, AI-powered DevOps agents, autonomous customer service systems
Example Vulnerability:
An attacker manipulates an AI agent to execute unauthorized database queries or API calls, potentially accessing sensitive data or modifying critical systems
LLM Testing
"What can I trick the AI into saying?"
Agentic AI Testing
"What can I trick the AI into doing?"
LLM Testing only:
If you use AI for text generation, analysis, or responses without system access
Both LLM + Agentic Testing:
If your AI agents can perform actions, access tools, or interact with external systems
Enterprise Custom:
Complex deployments often require both, plus custom testing for specific agent workflows and integrations
What is the SLA guarantee on your security monitoring platform?
Agent Bounty provides industry-leading uptime guarantees across all service tiers:
4.3 hours downtime/month maximum
45 minutes downtime/month maximum
4.5 minutes downtime/month maximum
Scan Initiation
New scans begin within 15 minutes of request
Vulnerability Detection
Critical findings reported within 1 hour of discovery
Platform Response
Dashboard and API response times under 500ms
Report Generation
Compliance reports delivered within 24 hours
Email support within 24 hours
Priority support within 4 hours
Dedicated security success manager with 1-hour response for critical issues
If we fail to meet our uptime commitments:
Multi-Cloud Architecture
AWS and Google Cloud redundancy
Global Load Balancing
Automatic failover across regions
24/7 Monitoring
Dedicated NOC team monitoring platform health
Disaster Recovery
<4 hour RTO (Recovery Time Objective)
Enterprise customers also receive dedicated infrastructure allocation and custom SLA negotiations for mission-critical requirements.