Security that proves itself at machine speed.
Aversyn coordinates AI security agents across source code, running applications, APIs, and identity flows: pursuing attack paths, demonstrating exploitability, and producing evidence engineers can act on.
Security enters the agentic era.
Software creation is becoming autonomous. Security testing is still built around disconnected scanners, static rules, and human operators stitching together incomplete signals.
Aversyn introduces a different model: autonomous adversarial validation. Instead of stopping when it recognizes a suspicious pattern, it investigates, forming hypotheses, gathering context, testing viable attack paths, challenging its own conclusions, and elevating a weakness only when it can support it with reproducible evidence.
The future of application security isn’t more alerts. It’s autonomous investigation.
Application Security
Validated exploitability instead of another scanner backlog.
Platform & DevOps
Autonomous validation wired into pull requests and deploys.
Engineering Leadership
Findings that arrive with reproduction steps and a fix path.
More than a scanner. More than a copilot.
Scanners detect patterns.
Aversyn reasons across systems.
Copilots wait for instructions.
Aversyn coordinates complete assessment workflows.
Dashboards collect findings.
Aversyn produces the evidence behind them.
Point tools see fragments.
Aversyn connects source, runtime behavior, APIs, authentication, and infrastructure into a shared attack model.
Know what is vulnerable. Prove what is exploitable.
The decisive question
Can this weakness be reached and demonstrated under the agreed rules of engagement?
Specialist agents work together to move from possibility to proof, mapping the attack surface, identifying viable paths, executing controlled tests, validating impact, and translating results into concrete remediation.
A new operating model for application security.
Three capabilities separate autonomous adversarial validation from everything that came before it.
Autonomous multi-agent orchestration
Aversyn is not a single script. For large scopes it decomposes the attack surface and spawns highly specialized parallel sub-agents, dedicated SQLi, SSRF, or auth bypass specialists, that share context and hunt simultaneously, cutting assessment time without losing focused scrutiny on any component.
Context-aware exploit & PoC generation
Aversyn does not just flag potential issues, it proves them. When a weakness is suspected, it writes custom Python, manipulates HTTP requests through a live intercepting proxy, and crafts bespoke payloads. Every report ships with a concrete, reproducible proof-of-concept demonstrating business impact.
Vulnerability chaining & attack path mapping
Traditional tools view vulnerabilities in isolation. Aversyn thinks like an attacker, chaining low-severity findings into critical exploit paths, pivoting from an initial foothold such as an information disclosure or weak access control toward remote code execution or sensitive data exfiltration.
Depth across code, runtime, and infrastructure.
Deep code analysis & automated remediation
Aversyn natively understands complex repository architectures across multiple languages. It executes structural AST queries, maps data flows from entry points to dangerous sinks, and analyzes CI/CD pipeline configuration. When a flaw is found in source, it derives the exact patch diff required to fix it.
Complex web application interaction
Equipped with a headless browser and native React/SPA introspection, Aversyn navigates multi-step web applications like a human. It authenticates across multiple user roles to test horizontal and vertical privilege escalation (IDOR) and interacts dynamically with JavaScript-heavy interfaces.
Exhaustive reconnaissance & discovery
Given a domain or repository, Aversyn performs intelligence-driven reconnaissance: discovering hidden endpoints, enumerating subdomains, mapping APIs including undocumented REST and GraphQL, fingerprinting technologies, and identifying forgotten or unmonitored legacy assets.
Intelligent tool synergy
Operating inside a full Linux security environment, Aversyn selects and commands the right tool for the job. It integrates outputs from established scanners and analyzers, interprets the raw data, and uses it to launch deeper, targeted manual testing.
Machine-speed security gates
Run Aversyn headlessly within pull-request and deployment workflows, turning autonomous validation into a programmable engineering control.
One autonomous loop. Five controlled boundaries.
Every run passes through the same sequence, and every boundary is enforced before an agent is allowed to act.
Scope
Humans define the mission: authorized targets, testing instructions, credentials, exclusions, and operational limits.
Orchestrate
Aversyn assembles specialist agents and coordinates their work around a shared understanding of the target.
Execute
Agents interact with code and running systems using isolated browser, terminal, proxy, HTTP, and exploit tooling.
Validate
Potential weaknesses are challenged through controlled exploitation. Claims must be supported by reproducible evidence.
Report
Validated findings become developer-ready security work, aligned with OWASP, CWE, CVSS, STRIDE, and SARIF conventions.
Evidence that moves engineering forward.
Every validated finding can bring together:
- 01The vulnerable surface and attack path
- 02Reproduction steps and proof-of-concept evidence
- 03Exploitability and impact context
- 04Standards-aligned classification and severity
- 05Actionable remediation guidance
- 06Suggested code changes
- 07Artifacts for engineering, security, and CI workflows
Not simply a vulnerability report. A defensible account of what was tested, what was demonstrated, and what should happen next.
assessment active: 4 agents running
scope: staging.example.com
phase: exploitation & validation
agent/recon mapped 128 route
findings: 1 validated · 2 under review
reproduction evidence attached
Watch autonomous security work unfold.
Aversyn’s local viewer makes the assessment observable. Follow live agent activity, inspect the evolving findings set, steer an active run, review reproduction evidence, and move between historical assessments: without handing control of your security data to an external platform.
CLI-first. Engineered for security teams and CI pipelines.
Aversyn is designed for operators who want command-line control and automation. Launch assessments, configure scope, export SARIF/Markdown reports, and integrate with existing security workflows using a clean, scriptable interface.
aversyn assess --target https://staging.example.com --scope auth,api,payment --agents recon,exploit,validateaversyn run --config aversyn.yml --output sarif --fail-on highaversyn findings --run last --format markdown --with-evidencePrivate, controlled, and observable.
Autonomy is only acceptable when its boundaries are explicit. Aversyn keeps the entire assessment inside infrastructure you own.
Local execution
Aversyn runs where you install it. Assessment data and source code stay in your environment by default.
Docker-isolated agents
Specialist tools and exploit runners execute inside isolated containers, limiting blast radius.
Transparent storage
Findings, logs, and evidence are stored in your local filesystem. No hidden cloud upload or telemetry pipeline.
Scope enforcement
Target lists, allowlists, and operational limits are enforced before agents are scheduled to act.
Free Aversyn assessments for high-consequence systems.
A 30-day autonomous adversarial validation program for municipalities, utilities, and critical infrastructure operators. Identify AI-agent and OT/IT risks before they become incidents.
Learn about the program- Municipal and county governments
- Water, power, and gas utilities
- Transit and transportation agencies
- Public healthcare and emergency services
A security reviewer for every line of code, every deployment, every day.
Aversyn is built on the belief that autonomy should not mean uncontrolled automation. It means assigning the right decision to the right agent, letting machines handle scale, consistency, and evidence gathering while reserving judgment for the humans responsible for risk.
Our goal is to make adversarial validation a continuous, machine-speed function of engineering. Every pull request, every deployment, every change should be examined by a system that thinks like an attacker and reports like an expert.
Aversyn is the first step toward that future.
Aversyn is not another security tool.
It is a new category of autonomous adversarial validation for software that moves at machine speed.
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