AI-LED FRAMEWORK

Speed up your offensive security flows from weeks to hours

Strike’s AI agents are both powerful and precise, executing their tests at the highest pace. The models are trained on real-world data from ethical hacking exercises performed over years of work, which leads to the understanding of specific business flows and attack vectors.

Complete an Attack Simulation in 4-8 hours
Integrate your stack for always-on testing
Trained to find business-logic vulnerabilities
Industry-specific hacking expertise

From discovery to exploitation, learn how our 
AI-led testing works

Secure your system at deployment speed

Real continuous Attack Simulation

Start your attack simulation in seconds and get results in hours. Make offensive security part of your deployment cycle.

Business-ready

AI-led Attack Simulation is trained to find business-logic vulnerabilities as it understands every major industry.

Specific retesting

Validate if a vulnerability still exists, one by one, as many times as needed.

Maximum control

Adjust the variables that determine how your Attack Simulation works: Intensity, Flexibility, Aggressiveness and Creativity.

Open-by-design

Get to see the Autonomous agents in action to discover how your tests are being performed.

The architecture that runs the show

An open look at how our models operate to get the best results. Strike’s AI architecture consists of three major pillars:

The Planner

The Planner senses and monitors any surface to determine the most reasonable testing strategy, including business-logic attack vectors.

The Orchestrator

With that plan in place, the Orchestrator Model guides the execution of the Autonomous Agents.

The Autonomous Agents

Each agent looks up for one specific type of vulnerability, which is the key for having the most scalable architecture.

Know the agents and how they operate

Attack Simulations are executed by autonomous agents, each one testing for a specific vulnerability.

Reflected XSS

The agent identifies reflected cross-site scripting flaws that allow attackers to inject malicious scripts through URLs or parameters visible in the browser.

Severity
High
Pentest coverage
4%

SLQ Injection Error based

Detects SQL injection vulnerabilities that expose database errors, allowing attackers to retrieve sensitive information through manipulated queries.

Severity
Critical
Pentest coverage
6%

Stored XSS

Finds persistent XSS vulnerabilities where malicious scripts are stored in the application and executed every time the affected page is loaded.

Severity
Critical
Pentest coverage
8%

SQL Injection Union-based

Searches for SQL injection flaws that use the UNION operator to extract additional data from different database tables.

Severity
high
Pentest coverage
5%

DOM-based XSS

dentifies client-side injection vulnerabilities that occur within the browser’s DOM environment, often bypassing traditional input validation.

Severity
high
Pentest coverage
3%

IDOR (Insecure Direct Object Reference)

Detects authorization flaws that allow attackers to access or modify objects (such as user data or files) without proper permission.

Severity
critical
Pentest coverage
7%

Authentication bypass XSS

Finds weaknesses in authentication flows that allow attackers to gain unauthorized access to systems or accounts.

Severity
critical
Pentest coverage
5%

Looking for the best of both worlds?

Our Hybrid Framework combines AI precision with human expertise, so you never trade speed for depth.

Discover our Hybrid Framework

Human expertise.
AI power.
Superior security.

Whether you’re scaling fast, closing enterprise deals, or just tired of noisy reports, we’ll help you build a security stack that moves faster than your threats.

Book a Demo