MindFort and the Future of Cybersecurity: Autonomous Agents That Defend at Scale

In the fast-paced world of software development, security has become an ever-expanding pain point. While companies scale up development thanks to AI-assisted coding, traditional security tools remain slow, fragmented, and often ineffective. Vulnerability scanners frequently produce overwhelming volumes of false positives—30 to 50% on average—wasting valuable engineering time. Meanwhile, traditional penetration testing is reactive, costly, and far too slow, often running quarterly and missing the vulnerabilities that arise between assessments.

AI coding has only made this problem more urgent. As code generation accelerates, so too does the volume of potential vulnerabilities. Engineering teams are increasingly forced to choose between speed and security, sacrificing one to preserve the other. As a result, it’s estimated that teams lose nearly 20% of their time trying to keep pace with outdated security practices.

This is where MindFort enters the picture—with a fundamentally new approach to security, designed to match the speed and intelligence of modern development environments.

What Is MindFort and How Does It Work?

MindFort is building fully autonomous AI agents capable of identifying, validating, and patching vulnerabilities in web applications and networks—continuously and at massive scale. These agents operate 24/7, mimicking the workflows of expert penetration testers but with the speed and persistence of machines.

Unlike legacy scanners that overwhelm developers with alerts, MindFort’s agents:

• Find complex, real-world vulnerabilities using human-like reasoning.
• Validate every issue to remove false positives before reporting.
• Patch intelligently and automatically, integrating fixes directly into the codebase.
• Scale testing across thousands of targets in real time.

These capabilities make MindFort uniquely positioned to handle the challenges of modern development, including the explosion of AI-generated code and the growing complexity of enterprise attack surfaces. Rather than becoming another bottleneck, MindFort becomes a speed multiplier, allowing companies to ship faster, without sacrificing security.

Who Are the Founders Behind MindFort?

MindFort was co-founded by three security-focused technologists: Brandon Veiseh, Sam Berston, and Akul Gupta. Each brings unique expertise that informs the platform’s technical depth and practical relevance.

• Brandon Veiseh, CEO, has deep experience in the cybersecurity space. At ProjectDiscovery, he helped scale the Nuclei scanner into an enterprise-ready platform. Later, at NetSPI, one of the largest penetration testing firms globally, he built AI tools to aid human testers, gaining firsthand insight into the limitations of current approaches.
• Sam Berston, CPO, formerly led security operations for Tableau (a Salesforce business unit). With years of experience in enterprise-scale software security, Sam experienced the constant tension between shipping new features and securing legacy code. His work on AI-assisted code review through a DARPA program laid the foundation for MindFort’s approach to autonomous remediation.
• Akul Gupta, CTO, holds a master’s degree in computer science from the University of Illinois, Urbana-Champaign. He has co-authored academic papers on LLM-enabled cyberattacks and participated in red teaming and safety research at OpenAI and Anthropic. His technical knowledge and research background give MindFort its intellectual backbone.

Together, they recognized the need for a new kind of cybersecurity tool—one designed from the ground up to be autonomous, intelligent, and fast enough to keep up with the modern development lifecycle.

How Is MindFort Different From Traditional Security Tools?

Traditional security tools fall into two camps: vulnerability scanners and manual penetration testing. Scanners are fast but unreliable, generating volumes of false positives and leaving developers with the burden of manual validation. Manual pen tests, on the other hand, are accurate but painfully slow, often taking weeks and costing tens of thousands of dollars.

MindFort combines the best of both worlds:

• AI Agents as Ethical Hackers: These agents understand application behavior, probe for weaknesses like human testers, and even collaborate when needed to chain exploits together.
• Autonomous Validation: Each vulnerability is verified before being reported, eliminating noise and ensuring development teams only act on real, actionable threats.
• Automatic Patching: MindFort doesn’t stop at finding problems—it fixes them. Agents propose or deploy safe, contextual patches that match the application's logic and environment.

This end-to-end automation transforms security from a slow and reactive burden into a proactive, always-on process. And because MindFort integrates directly into the development workflow, teams don’t need to alter their processes to benefit from it.

Why Is MindFort Essential in the Age of AI-Powered Development?

The explosion of AI-assisted development has fundamentally shifted the landscape of software engineering. Developers can now produce more code, faster than ever before. But with that productivity comes risk: security reviews can’t keep pace.

MindFort was designed for exactly this future. It’s not just a tool that works alongside AI development—it’s a tool that was built for it. Just as AI can generate thousands of lines of code in moments, MindFort’s autonomous agents can analyze, test, and secure that code in real time.

As the volume of code being shipped increases exponentially, the only way to ensure security at scale is to use AI agents with equivalent capabilities. MindFort is already finding real vulnerabilities in production systems—ones that legacy tools miss entirely—and doing it in a fraction of the time.

What’s the Bigger Vision Behind MindFort?

The founders of MindFort believe that security should accelerate innovation, not slow it down. Their long-term vision is to replace reactive security processes with intelligent systems that work continuously and invisibly.

Imagine a world where:

• Every new line of code is tested for vulnerabilities as it’s written.
• Every found vulnerability is fixed automatically before it ever reaches production.
• Security testing is always on, always learning, and never in the way.

This is the future MindFort is building. One where engineers are free to focus on building great products, knowing that an intelligent, autonomous system is keeping them safe in the background. In this world, security is no longer a constraint—it’s a competitive advantage.

What Comes Next for MindFort?

Still early in its journey, MindFort has already attracted attention for its unmatched accuracy, speed, and autonomy. With its foundation in academic research, enterprise security, and AI innovation, the platform is well-positioned to become the standard for security in the AI development era.

As more organizations adopt AI-first development strategies, the demand for scalable, intelligent security tools will skyrocket. MindFort aims to be the first name in that category, not just keeping pace with AI development, but setting the standard for how secure, scalable software gets built in the future.

In the words of its founders: “Security shouldn’t be an obstacle. It should be autonomous, intelligent, and built into every layer of development.”

MindFort is that vision brought to life.