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Next Generation Threat Detection
Next-Generation Threat Detection with Genomic AI
In a world of rapidly evolving cyber threats, traditional detection systems often struggle to keep up. These systems rely on static models and siloed data processing, leaving organizations vulnerable to advanced tactics and sophisticated attackers.
Introducing Agent Nautilus, powered by the ICG Transformer and offering a groundbreaking approach that combines multidimensional analysis, dynamic learning, and unparalleled data integration to redefine what’s possible in threat detection.
Revolutionizing Cybersecurity
Breaking Free from Limitations
In the late 90's and 00's, cyber security innovators developed the first advanced heuristics and threat detection engines, empowering defence in an exponentially amplifying cyber arms race.
There has been minimal innovation in the field since. Traditional systems are confined to specific data types and static models, hindering their ability to keep up with evolving threats.
Unleashing Genomic AI
Genomic AI treats data like a living ecosystem, enabling dynamic learning, multidimensional analysis, and unparalleled data integration.
Every. Single. Actor. that can generate a packet or issue a command is identified and assigned a genome for mapping.
Discover Advanced TTPs

Contextualization
Genomic-AI contextualizes and integrates data across the attack lifecycle to reveal hidden threats.

Advanced Tactics
It excels at detecting tactics like LOTL, encrypted C2 channels, and lateral movements.

Minimized False Positives
By leveraging tensor analytics, it minimizes false positives while scaling across complex environments.
Disrupt The Cyber Kill Chain
Agent Nautilus™ delivers unmatched speed, outperforming outdated threat detection tools reliant on heuristics or legacy ML models that act only after obvious impact.
Its deep behavioral analysis identifies and neutralizes sophisticated threats by detecting subtle anomalies, exposing even the stealthiest actors — including those leveraging legitimate tools and credentials to live off the land.
Designed to Deliver Value, Fast

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1. INSTALL SENSOR
Deploy a low-touch Windows Image, Linux SNAP, VM or appliance to your network switch via the SPAN port or similar connection.

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2. LET IT LEARN
It now collects data at scale, mapping assets and genomes to uncover deep relationships.
In 24–48 hours, it learns what "normal" is for 95% of your network.

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3. GET VALUE
Instant threat detection utilising existing disease marker database, analysing any and every entity communicating within your network. Receive accurate critical threat alerts directly or via standardized APIs.
Coming soon: GenAI Chatbot interface for custom feeds, SOC investigations, and incident response.
Data Diversity: Seeing the Whole Picture
Breaking Silos
Genomic AI integrates structured logs with unstructured network traffic, IoT behaviors, event and sys-logs, and a universe of contextual metadata.
Uncovering Hidden Threats
This multidimensional approach reveals threats that would otherwise remain hidden, ensuring protection across IT, OT, and IoT landscapes.
Eliminating Errors and Bias
Addressing Blind Spots
Traditional systems often misclassify rare or novel behaviors due to limited training data, overlooking critical insights.
Unbiased Detection
Genomic AI learns from a rich Tapestry™ of data across industries and environments, delivering unbiased, comprehensive threat detection.
Accuracy, Precision, and Efficiency

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Eliminating False Alerts
Genomic AI reduces false positives by learning holistically from its environment, ensuring only actionable alerts are generated.

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Focusing on Real Threats
Organizations can allocate resources more effectively, focusing on real threats while maintaining operational efficiency and saving time and money.
Self-Learning &
Continuous Evolution

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Automated Feature Extraction
Genomic AI dynamically learns the most relevant features from raw data during training, eliminating the need for manual feature definition.

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Seamless Data Integration
It combines data from diverse sources, uncovering patterns and anomalies that static models cannot perceive, for predictive insights.

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Full Behavioural Context
Understand every action, event and behaviour that contributes to, preludes or is indicative of a threat.
Stop zero day exploits in their tracks.
A Seamless Tapestry™ of Agents Working Together
Unified Approach
Genomic AI unifies diverse cybersecurity threat detection capabilities into a single, multi-purpose system, addressing a wide range of threats and needs.
Tailored Outputs
It delivers tailored outputs for each use case, ensuring that every layer of security works cohesively, enabling faster, more effective responses.
AI Powered Data Tapestry ™
The AI powered data Tapestry ™ connects the right agents to the right information, integrating diverse multi-dimensional data to enable real-time, two-way communication across boundaries.
Introducing Agent Nautilus
The First Cyber Transformer
Agent Nautilus, first deployed in 2020, employs an auto-regressive transformer model pre-trained on cyber data. This advanced model is designed after biological structures, assigning genomes to digital actors and mapping the genes that form their behaviours.
Through the identification and assignment of disease markers and environmental variables, Agent Nautilus enriches the genome and forms a multi-dimensional picture of your digital world. The transformer then analyses the context of each datapoint and differentiates between critical and non-essential, bypassing irrelevant information for enhanced efficiency and speed in threat detection.
Tailored for cybersecurity, and continuously trained on operational and network data from cyber battle-zones, the Agent Nautilus transformer can leverage nearly any time-series data to identify and focus on actionable intelligence, ensuring precise detection of cyber threats. Agent Nautilus is engineered to provide a comprehensive view of all digital interactions within your endlessly scaling operational dataset.
Agent Nautilus' Key Features
Going Beyond Vulnerability Management
Agent Nautilus utilizes a historic perspective of data to identify potential attack vectors by mapping cyber genes and disease markers that indicate predispositions to threats.
Real-Time Learning & Almost No Setup
From novel self-attention features to its to its ability to intelligently prioritize data in parallel, the system learns your operations through observation and optimises. No setup, no whitelists.
See Everything & Unify IT/OT/IoT
By analyzing everything from packet telemetry to system behavior, the model detects the slightest deviations indicative of cybersecurity breaches.
Expand the Perimeter
Threat detection requires visibility. Seamlessly expand the perimeter without support burden or significant cost. Expand into supply chain partners, remote contractors and service providers.
AI Powered Analytics & Nearly Limitless Publishing Options
AI to AI, or AI to Human, the ICG LLM enables publishing from low-code & no-code frameworks to rapidly deploy everything from Teams Agents to Syntesia talking avatars.. in minutes. Start with our chatbot, Agent Bartok.
Precision through High Dimensionality
Dimensions of Intelligence
At the heart of our system lies an advanced ICG transformer with hundreds to thousands of distinct dimensions of data analysis. The ability to learn and formulate these models forms the foundation of the most sophisticated threat detection engine in cybersecurity, powered by our revolutionary ICG Genome framework.
High-Dimensional Analysis
Each dimension captures specific data including telemetry and device behaviors, time-series interactions, communication patterns, and environmental anomalies. This multi-layered approach enables deep understanding of relationships between entities and events across IT, OT, and IoT systems.
Advanced Threat Detection
Moving beyond traditional linear heuristics, Agent Nautilus processes multiple behavioral dimensions simultaneously. This comprehensive analysis detects even the most subtle patterns that conventional solutions miss: from account compromise and encrypted C2 channels to stealthy lateral movement tactics.
Embrace Better, Experience Next-Gen
Early Adopter
Become an early adopter at no cost and no risk: discover the unparalleled power of Genomic AI to uncover hidden connections and gain deep insights into your network.
Seamless Integration
No need to displace anything — no disruptions or integration hurdles: simply deploy the sensor, let the engine learn, and access results through Insight Cyber's platform or integrate alerts seamlessly into your existing stack via APIs.
Thank-you & Appendix
For further information contact:
Casey S. Potenzone
cp@insightcyber.com
+1 949 468 9636
+33 (0)7 69 26 43 53
Deployed by Pioneering Critical Infrastructure Organisations Around the World
Energy Generation Station
Energy generation station in the UK, showcasing advanced infrastructure protection
Intelligent Transit System
Intelligent Transit System Operator in the US, ensuring secure transportation networks
Critical Infrastructure Protection
Critical infrastructure protection agency in a conflict zone, maintaining essential services
Cyber Agent Library: Agent Bartok - Intelligent Web Integration via Synthesia
Key Capabilities
  • Direct integration of the Agent Nautilus threat detection capabilities and alerting via the Synthesia workflow
  • Llama 3.2 LLM powered with the ICG Nautilus network observations and threat detection capabilities.
  • Deliver key observations and alerts to staff via the video avatar workflow.
  • Generate GRC and reporting by querrying the system in natural language
Cyber Agent Library: Agent Bartok via Web
  • Direct integration of the Agent Nautilus threat detection capabilities and alerting.
  • Llama 3.2 LLM powered with the ICG network observations and threat detection capabilities.
  • Directly query and interrogate your entire network stack directly from Teams.
  • Generate GRC and reporting by querrying the system in natural language.
  • Build integrations and APIs directly from the chatbot into approved python sandboxes..
Cyber Agent Library: Agent Bartok via Co-Pilot
  • Direct integration of the Agent Nautilus threat detection capabilities and alerting.
  • Co-Pilot powered LLM interaction with the ICG network observations and threat detection capabilities.
  • Directly query and interrogate your entire network stack directly from Teams.
  • Co-mingle Sharepoint folders and stacks, such as your IR manuals or specifications.
  • Generate GRC and reporting directly from inside Teams to Business Central.
Risk Value Cyber Agent
Return on Resilience
Demonstrate the value of your cyber investments. Understand the implications and financial value of cyber projects and incidents.
Vulnerability Analysis
Understand the financial implication of vulnerabilities, risks, and threats on your organization.
Financial Implications
Evaluate the cost of remediation, risk mitigation, and the potential financial impact of a cyberattack.
Return on Resilience Models
The LLM facilitates rapid ingestion of financial models and calculations. Here we have trained the LLM on the Accenture Return on Resilience model.
Example ticket using the Threat Attribution and Price Value Engine Co-Mingled with a Real Alert:
A data privacy violation involving ACME Integrator's power customer in Texas, Big Energy Co, could have significant consequences for both companies. Based on the Accenture Return on Resilience (RoRes) model and market trends, we can assess the potential impact:
Financial Impact
  1. Direct Costs: The average cost of a data breach in the energy sector was estimated at $4.78 million in 2023​​. For a major utility like Big Energy Co, this figure could be substantially higher.
  1. Regulatory Fines: Energy companies face strict data privacy regulations. Violations can lead to substantial fines, potentially reaching millions of dollars per incident​​.
  1. Lost Business: Cyber-resilient companies experience 16% higher incremental revenue growth. A major breach could reverse this advantage, leading to significant revenue loss.
Operational and Reputational Consequences
  1. Service Disruption: While the data breach doesn't represent risk to power systems, it does potentially impact individual customers through account compromise.
  1. Trust Erosion: Cybersecurity breaches severely damage trust between energy companies and their stakeholders, impacting customer retention and investor confidence​.
  1. Long-term Impact: The reputational damage from a significant breach can have lasting effects on both Big Energy Co's and ACME Integrator, potentially affecting future contracts and partnerships.
Broader Implications for ACME Integrator
  1. Contract Loss: ACME Integrator's contract with Big Energy Co, valued at $173.5 million in 2019​, could be at risk if a major breach occurs due to ACME Integrator's services.
  1. Industry Reputation: As a key IT service provider in the energy sector, a significant breach could damage ACME's reputation across the entire industry.
  1. Legal Liability: ACME could face legal action from Big Energy Co or affected customers, leading to additional costs and reputational damage.
  1. Market Value Impact: ACME Integrator's stock value could be negatively affected, as evidenced by the 3.44% drop following a recent ransomware incident.​
Cyber Agent Library: Agent 16.18 Network Sensors
Plant & Field Sensor Agents
Software Based Sensor Agents

SNAP
Prioritized workflow management with automated ticket assignment and orchestration

Windows
Smart playbooks and correlation engines to accelerate threat investigation and remediation

Open Source
Available via git hub, simply run packet capture capabilities to a directory accessible by the agent and feed time series data into ICG and Agent Nautilus.
Together, these agents provide end-to-end coverage from physical sensor monitoring to intelligent ticket management, creating a unified security operations framework.
SaaS Ticket Management Agent
Prioritized alerts
Management and delivery workflow, ticket assignment and follow-up via a event orchestration system.
Recommended playbooks
Improve productivity and response time to investigate, mitigate, and remediate threats.
Aggregation and correlation of events
Global visibility and streamlined event triage: disrupt the progression of the cyber kill chain.
Accurate Assets, Inventory & Threat Surfaces
Not just a list - assets categorized by device type for pinpoint insight.
Cyber Agent Library: Visualization & Publishing via Mermaid.live
Flow Diagrams
Create dynamic flowcharts and process diagrams to visualize cyber workflows.
Sequence Mapping
Map complex sequences and interactions between system components.
Architecture Visualization
Generate clear visual representations of system architectures and relationships via natural language interactions.