Technology
Discover how our stack works step-by-Step
The knowledge extraction company that created the new XAI standard for log processing
Use cases
Explore some cases from which we extract unseen knowledge
Unique value proposition
Find out why being unique by design matters
Verticals
See our technology at work across verticals
A scalable approach to automate the use of your expertise
We have entered an era where traditional AI training is being replaced by next-generation inputs that continuously inject authentic experiential knowledge into the models.
Operating through an infinitely scalable framework for automating the use of experience, these advanced inputs enable a seamless flow of learning and decision making. This approach allows AI systems to adapt dynamically, evolving with unmatched depth toward robust predictive capabilities ⤵
LOGFORCE aligns perfectly with Gartner's latest recommendations on AI
What we solve → Gartner emphasises that 90% of enterprises lack proper AI Trust, Risk, and Security Management control.
Typical use cases addressed
Signal-based data analysis and non-linear events correlation
In this table are represented typical use cases addressed, where LOGFORCE has demonstrated its efficiency in performing precise non-linear events correlations, revealing hidden pathways, in real time and at scale. We achieve this converting data into structured signals, enabling real-time processing through a set of patented algorithms, capable of performing non-linear event correlation at any scale and simultaneously. This approach ensures an unprecedented level of system performance by processing complex interactions with heterogeneous sources simultaneously, even when data are unstructured and/or non-normalised.
So doing, LOGFORCE consolidates experience sequences into actionable signals, effectively replacing traditional AI labelling systems. On this foundation, we’ve created a next-generation explainable AI stack, where traditional training paradigms are replaced by continuously injected experiential knowledge. These advanced inputs integrate seamlessly into models, automating the use of authentic and synthetic experience through an infinitely scalable framework.
Trusted by
The Journey to Innovation: A Shared Adventure! We've developed multiple interoperable XAI models using the LOGFORCE stack, with valuable input from our partners and early stage adopters. Following their recommendations, we've created a development roadmap, enabling our ecosystem to seamlessly interface with various technologies, with further advancements on the horizon.
Resources Hub
A curated collection of videos and documents to deepen your understanding of our technology
A short explainer video, summarising the key concepts and the core features of LOGFORCE
Simplicity as the ultimate sophistication: Explore LOGFORCE V-1.4, a release shaped by customers and focused on delivering exactly what the market truly needs
How we apply signal processing to transform telemetry into actionable logic.
An introduction to Indicator of Experience (XoC) and Noise Suppression Unit (NSU)
Introducing SEB, the LOGFORCE Synthetic Endpoint Brain. What if Explainable AI could detect, verify, and respond to threats before humans even noticed them?
What if intelligence lives inside the endpoint itself? What if you could deploy a brain — not a sensor? An FOR FREE (community edition)!
2025 Transformative Products Portfolio
Discover how our stack works step-by-Step
Find out why us being unique by design matters to you!
Your Gateway to Unmatched Insights
Immediate Access to Exclusive Insights and offers tailored for SOC, MSSP, and Investors
Reviews & Professionals' Insights
Inside the Minds of Experts Smarter Systems, Bigger Savings: Why Pros Love LOGFORCE
Matt Lee
Senior Director of Security and Compliance Riverton, UT
LOGFORCE impressively reimagines the traditional SIEM approach by integrating advanced machine learning and AI to predict and contextualise security events in real-time. Its innovative use of NFTs for model authentication and potential marketplace creation is a game-changer, offering a unique and valuable feature that sets it apart in the cybersecurity landscape.
Mike Wilkes
Chief Information Security Officer Adjunct Professor New York, NY
LOGFORCE offers an innovative approach to analytics, using advanced AI routing to detect patterns in large volumes of data. Its real-time processing and correlation capabilities, without the need for data normalisation, are impressive.
Jim Tiller
Fractional Executive (CISO/CIO) Industry Leader Raleigh, NC
It’s powerful and has endless applications across many industries. The ability to analyse data directly within the system, without having to move it elsewhere, is a game-changer, especially for sensitive sectors like military intelligence.
Joshua Scott
CISO Investor Agoura Hills, CA
LOGFORCE offers a promising approach to addressing long-standing challenges in security operations. Their innovative use of Explainable AI enables fully transparent, faster, and more comprehensive threat detection, which could be a game-changer for SOC teams aiming to improve efficiency and reduce costs.
Bill Totman
Channel Security Engineer Tampa, FL
LOGFORCE's innovative use of multi-dimensional signal processing is incredibly exciting. As someone familiar with discrete transforms, I can see how this technology could revolutionise threat detection and analysis. The ability for users to instantly train AI models is sensational for scaling expertise while safeguarding privacy.
Chase Cunningham
DrZeroTrust Washington, DC-Baltimore Area
What you built is very compelling, addressing real industry needs. Another strong point for you is the highly quantifiable ROI, which is easy for companies to grasp. For example, if I can replace 10 L1 and L2 analysts, that saves a lot of money, and I can then automate and scale!
Our Verticals
Here's where LOGFORCE is driving innovation across industries
01
Cybersecurity
Since Q4-2023 we have been redefining cybersecurity efficiency through synthetic analysts:
At the core of LOGFORCE is the groundbreaking combination of Artificial Intelligence and Cybersecurity. Our flagship product, SOC Automation, introduces the concept of the Synthetic Analyst, revolutionising threat detection and response. Powered by Explainable AI (XAI), it redefines intelligence and Indicators of Compromise, significantly reducing headcount while increasing operational efficiency and precision. LOGFORCE empowers organisations to do more with less, driving smarter and more scalable security operations.
02
Cybersecurity
Since Q3-2024, we have been experimenting on innovative UI, turning it into a true "Time Window into Predictive Insights":
We replaced outdated static Indicators of Compromise (IoC) with Experience-Correlated Identities (XoC), visualised in a 3D space via advanced data-to-signal processing. This approach highlights clear predictive path of compromise—its origin, trajectory, and the logic behind the alert threshold.
03
Cyebrsecurity
Kick-off in Q1-2025 for our Product 1.4 release:
For the second time in less than a year, we’ve been invited to take the stage at one of the largest cybersecurity events, sponsored by government intelligence agencies. We’ll showcase the full range of LOGFORCE features, including the brand-new False Positive Noise Suppression Unit, Predictive Threat Intelligence (XTI), Auto-Forensics, Advanced next-gen Firewall integrations, and much more.
04
OEM Program
Starting in Q2 2025, the LOGFORCE OEM Program is tailored for Companies ready to seamlessly integrate the full power of our Explainable AI (XAI) into their own tools and systems.
No more black-box behaviours — with our explainable AI (XAI) layer, everyone can understand and inspect every step your models take. Decisions become visible, logic becomes clear. At the core, our NFT-backed control version system (CVS) ensures every model update is traceable and verifiable. This foundation also enabled us to define a new standard for log and text processing, making AI and RAG agents' decisions easier to track, explain, and trust. Get in touch with us to explore this opportunity.
Post of the week
This week’s post delves into the intriguing claims of AI learning from raw byte data "for the first time."
"First Time" in AI Learning from Raw Byte Data? A Word of Caution!
The comparison between LOGFORCE (2014) and META (2024) highlights the incremental evolution of groundbreaking ideas. Gio Pecora reflects on the validation of their early work as major players now adopt similar approaches, emphasising that the true value lies in collective progress and the advancement of the field.
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