Intelligent agents
for security testing.
Based on years of security testing experience, we built an automated system for threat discovery and validation across complex environments. We use advanced reasoning models to orchestrate testing at scale, creating a fine-tuned agentic system that goes far beyond simple tool integration.
Sandboxed Agent Swarm
for autonomous security research.
A coordinated swarm of specialized agents autonomously researches your target infrastructure, executing professional-grade tools within isolated sandbox environments. Each agent continuously loops over identified attack surfaces and vectors, while reasoning agents generate novel hypotheses and testing strategies that scripted scanners simply cannot discover.
Attack Surface Discovery
PurpleSwarm continuously monitors the public internet for exposed assets belonging to your organization: subdomains, open ports, misconfigured services, and shadow infrastructure. All without generating a single packet of active traffic.
Non-Intrusive Observation
All discovery happens passively, ensuring zero operational impact on your systems. Findings go directly to verified asset owners.
Continuous Coverage
PurpleSwarm maintains a living index of your external exposure and alerts you when new assets or anomalies surface.
Agentic Penetration Testing
A coordinated swarm of specialized agents run full-scope penetration tests, and reasons across findings in real time instead of executing a fixed checklist. This mirrors how advanced adversaries actually operate: adaptive, persistent, and multi-stage.
Multi-Agent Orchestration
Agents work together dynamically. One maps the perimeter, another reasons about chained attack paths, a third validates exploitability under controlled conditions.
High-Reasoning Models
Powered by frontier language models selected for their demonstrated capability in adversarial reasoning tasks. This enables discovery of logic-level flaws that scripted scanners simply cannot reach.
Continuous Monitoring
Security analysis doesn't end with the initial test. PurpleSwarm continues monitoring your system, listens to threat intelligence, and deploys agents to detect all changes.
Threat Intelligence
When a new security vulnerability is discovered, PurpleSwarm automatically checks if your systems are affected and informs you immediately.
Change Detection
Every change on your system is analyzed. Agents evaluate the differences and deploy specialized agents to test for regression bugs.
Multi-agent architecture
Our platform combines multiple specialized AI agents that work together to discover, test, and validate security vulnerabilities with unprecedented accuracy.
Advanced Reasoning Models
We leverage state-of-the-art reasoning models like Claude Opus 4.6 and upcoming Mythos to orchestrate discovery and testing of applications at scale. These models understand context, adapt to unique application architectures, and reason through complex security scenarios.
Sandboxed Execution
Our custom tools allow agents to execute code in a fully sandboxed environment. This enables real-world testing scenarios while maintaining complete isolation and safety, letting agents probe applications the same way a skilled penetration tester would.
Fine-Tuned Agentic System
Anyone can link an LLM with penetration testing tools. What we have built is fundamentally different: a fine-tuned agentic system that intelligently balances discovery, knowledge retrieval, and testing all together in a cohesive workflow.
Intelligent Discovery
Our agents do not just run predefined scripts. They explore applications dynamically, building a mental model of the target, identifying attack surfaces, and prioritizing testing efforts based on likelihood of finding real vulnerabilities.
Judge and Curator Agents
We implement advanced judge and curator agents that assess whether potential findings are actually security vulnerabilities. This multi-agent validation approach dramatically improves accuracy and greatly reduces false positive rates.
Reduced False Positives
Traditional automated scanners flood teams with noise. Our curator agents understand context, severity, and exploitability, ensuring that when we report a finding, it matters. Security teams can focus on real issues instead of chasing ghosts.
Human-Agent
Collaboration
Autonomous Speed, Human Ingenuity.
Humans provide creativity, direction, and oversight. Agents provide superhuman coverage and speed. Together, they accomplish what neither could alone.
Manual Attack Scenarios
Define custom attack scenarios that matter to your organisation. Your security expertise guides the swarm toward the vulnerabilities that automated systems may overlook.
“Test if admin endpoints are accessible through the mobile API gateway”
“Verify session tokens cannot be reused across tenant boundaries”
“Check for rate limiting bypass on authentication endpoints”
Scenarios are translated into agent tasks and executed across your entire attack surface automatically.