Recon InfoSec, a leader in managed security operations, is proud to announce the creation of Recon Labs, our internal R&D organization that delivers superpowers to your security teams.
At Recon, we recognized AI's potential early. Shortly after ChatGPT's release in late 2022, Recon CTO Andrew Cook presented at CactusCon 11 with concrete experiments exploring AI's applications in information security. Since then, we've thoughtfully integrated large language models (LLMs) in key areas of our security operations platform, focusing on practical applications that deliver measurable impact.
In short, we’ve been thrilled with the results: our analysts now investigate complex cases with unprecedented velocity, transform threat intelligence into targeted hunts, automate repetitive workflows, and reduce false positives at scale. These aren't just theoretical improvements; they're fundamental changes to how security teams operate.
Through Recon Labs, we're building on these foundations to put advanced capabilities directly into our customers' hands, enabling them to stay ahead of evolving threats with tools that amplify human expertise rather than replace it.
Since launching Recon Labs in January 2025, we've been on a mission to transform how security professionals work by amplifying their technical capabilities. As the newest division of Recon InfoSec, we focus on applying LLMs and other emerging technology to enhance our products, services, and internal workflows, making them work even better for our customers.
We're genuinely excited about the opportunities that LLMs present for security teams. The potential to accelerate analysis, streamline investigations, and uncover insights from vast datasets is surprising, even to us. At the same time, we recognize the healthy skepticism surrounding AI technology. Concerns about accuracy, security, and over-reliance are valid and important, and we’re addressing them head-on.
That's why we've built our approach around the dual goals of "security for AI" and "AI for security." Every capability we develop follows a secure-by-design methodology that ensures that we’re protecting customer data with the same level of care as we always have. We still carefully vet third-party vendors, and we don’t rush into any new technology without first understanding the full security implications.
Our approach focuses on delivering superpowers to your security teams rather than attempting to replace human expertise. Security professionals bring irreplaceable intuition, context, and decision-making abilities to their work. What they often lack is time, which is consumed by repetitive analysis, manual data correlation, administrative overhead, and distractions.
Since deploying LLM-powered tools into production, we’ve seen them handle tedious workloads at machine speed, freeing security analysts to focus on high-value strategic thinking and complex problem-solving. By reducing toil and fatigue, we enable teams to operate at their full potential rather than being bogged down by repetitive tasks.
Our early customer-facing capabilities, like ReconAI Investigator, have yielded results that frankly surprised even us. The feedback has been overwhelmingly positive, with many customers expressing amazement at the power and efficiency gains they’ve achieved. Watching experienced security professionals discover that they can accomplish in minutes what previously took hours has been rewarding for all of us.
Equally valuable has been the constructive feedback from these early adopters. They've identified bugs, suggested improvements, and provided crucial insights into real-world usage patterns. We've made it a priority to address these issues quickly and thoroughly, treating each piece of feedback as an opportunity to refine and enhance our offerings.
We’ve observed competitors in our space pursuing a wide range of approaches to implement AI for security tooling. Among them we’ve noted a tendency towards “agents everywhere,” an approach that turns every task into one now completed by an LLM. We've taken a fundamentally different approach.
We've focused our efforts on developing a comprehensive investigative agent supported by a powerful ecosystem of best-in-class agentic tools. This architecture has provided us more sophisticated reasoning, better context retention, and more nuanced analysis than our competitors' approaches, which often fragment capabilities across multiple specialized systems.
Our belief is that security investigations require holistic thinking and the ability to connect disparate pieces of information. These capabilities are better served by a unified, powerful agent than by a collection of narrowly-focused ones.
We readily acknowledge that we're still learning. The LLM landscape is evolving rapidly, with new capabilities, models, and techniques emerging constantly. Rather than seeing this as a challenge, we view it as an opportunity to continuously improve and adapt.
Our development process is deeply customer-driven. We listen carefully to feedback from security teams using our tools in production environments, and we use these insights to guide our innovation roadmap. This responsive approach allows us to balance technological advancement with practical, real-world utility.
Customer feedback is actively shaping what we build next. This collaborative relationship between our team and the security professionals using our tools ensures that our innovations remain grounded in actual operational needs.
As we continue to grow Recon Labs, our commitment remains unchanged: to deliver transformative capabilities that enhance—rather than replace—human expertise, built with security and reliability as foundational requirements. We're excited about the road ahead and grateful for the security community's engagement as we work together to define the future of AI-assisted cybersecurity.
AI has the potential to be a transformative, secure, and fast tool for cybersecurity. But what does that actually look like for a security team? We invite you to join the conversation as we explore what these AI-driven superpowers could mean for your environment.