Stop OT-Targeted Attacks
Before They Cross the
IT/OT Boundary
The stakes in energy security aren't measured in data loss, they're measured in operational disruption. ThreatBook protects tier-1 energy enterprises with intelligence on APT groups that specifically target OT environments, and network detection that identifies lateral movement at the IT/OT boundary before it reaches industrial control systems. At a false positive rate below 0.03%, your small OT security team focuses on real threats.
Energy Security Failures Have
Physical Consequences
Energy and critical infrastructure operators face a threat category that no other sector confronts at the same scale: attacks that can cause operational disruption with real-world physical consequences. Nation-state adversaries treat energy infrastructure as a strategic target, and the OT/IT convergence driven by Industry 4.0 has created new attack paths that traditional IT security tools were never designed to see.
Blind Spots
The convergence of operational technology and enterprise IT creates detection gaps at the boundary, traditional IT security tools lack OT protocol visibility, while legacy OT systems lack network detection sophistication. Threat actors exploit this boundary systematically: establishing a foothold on the IT side and moving laterally toward industrial control systems with minimal detection risk.
Targeting
Energy infrastructure is a primary target for state-sponsored threat actors seeking strategic advantage, attacks designed to disrupt power grids, fuel supply chains, or water systems in scenarios of geopolitical tension. These adversaries conduct months-long reconnaissance before acting, using custom tooling that generic threat intelligence platforms were not built to track with firsthand visibility.
for Disruption
False positive-driven shutdowns or overzealous blocking on an OT network can cause operational disruption as costly as the attacks themselves. Energy operators cannot afford a security platform that generates noise, every alert that reaches an OT security engineer must represent a genuine threat with enough context to act on confidently, not another alert to triage and dismiss.
Protecting Tier-1 Energy Enterprises
Across OT and IT Boundaries
ThreatBook protects some of the world's largest energy enterprises. ATI tracks APT groups that specifically target OT environments and critical infrastructure, with firsthand campaign visibility that enables early detection of reconnaissance and pre-positioning activity before adversaries reach industrial systems.
TDP provides network detection, finding lateral movement, compromised host indicators, and C2 callbacks before they reach industrial control systems. The <0.03% false positive rate reflects the intelligence-enriched detection approach that distinguishes genuine threats from normal operational traffic across complex OT/IT network topologies.
- ATI tracks 2,000+ adversary groups with specific coverage of nation-state actors targeting energy, utilities, and OT environments, with intelligence drawn from 100B+ threat indicators
- TDP detects lateral movement using ML-based detection fused with live ATI IOCs, identifying threat actors before they reach industrial control systems
- Zero-day detection via ML and cloud sandbox catches novel tooling used by APT groups targeting critical infrastructure, including malware variants designed to evade signature-based detection
- Compromised host detection via rule-based and IOC intelligence fusion provides early warning of initial access events before lateral movement begins
Built for the Accuracy and Intelligence
Depth Energy Operators Require
ATI tracks nation-state APT groups that specifically target industrial control systems, SCADA environments, and OT infrastructure, including groups known for energy sector campaigns. Intelligence covers TTPs specific to OT attacks: initial access via spear-phishing or supply chain compromise, IT/OT pivot techniques, and the staging indicators that precede destructive payload deployment.
TDP monitors traffic at the convergence point between enterprise IT and operational technology networks, identifying lateral movement attempts, anomalous protocol usage, and C2 callbacks before they penetrate the OT layer. Detects attacks in encrypted traffic without decryption, preserving OT system integrity while eliminating the visibility gaps that boundary environments create for traditional SIEM-based detection.
APT groups targeting critical infrastructure routinely develop custom tooling to evade signature detection. TDP's ML-based behavioral detection and cloud sandbox analysis identifies novel malware variants, including zero-day exploits, by behavior rather than signature. The cloud sandbox analyzes 1.2M+ malicious samples daily, continuously updating detection models with the latest adversary tooling observed in the wild.
From Early Warning to
Contained Incident
ThreatBook ATI and TDP work in concert to give energy sector security teams early warning of adversary activity, from initial access indicators through lateral movement detection to containment before industrial systems are affected.
ATI feeds are configured for energy sector relevance, prioritising adversary groups known to target OT environments, critical infrastructure IOCs, and vulnerability intelligence for industrial control system components. TDP is deployed at IT/OT boundary network points with OT-aware detection profiles.
TDP monitors traffic flows at the IT/OT convergence point continuously, using ML-based behavioral detection to identify anomalous lateral movement patterns, unusual protocol usage, and compromised host indicators that precede OT environment penetration. Every detection is automatically enriched with ATI adversary context.
ATI correlates detected indicators with known APT campaign profiles, identifying whether an incident represents opportunistic malware or targeted reconnaissance by a state-sponsored group. Campaign-level attribution gives security teams the context to escalate appropriately and assess the scope of potential OT environment risk.
Confirmed threats trigger containment actions on the IT side, blocking C2 communications, isolating compromised hosts, and feeding IOCs into firewall and SIEM integrations, before the adversary has the opportunity to cross into operational technology systems and cause physical disruption.
What Energy Security Teams
Achieve with ThreatBook
ATI's campaign-level intelligence on OT-targeting APT groups enables detection of adversary activity during the IT-side reconnaissance phase, before lateral movement reaches industrial systems. Early-stage detection at the IT/OT boundary is the difference between a contained IT incident and an operational disruption event.
Energy sector OT security teams are typically small. TDP's <0.03% false positive rate means every alert reaching your team represents a real threat, no tuning backlog, no false positive fatigue. Analysts investigate actual adversary activity rather than dismissing noise that could mask a genuine threat buried in alert volume.
ThreatBook ATI tracks adversary groups targeting energy infrastructure with firsthand telemetry from the 420,000+ member ThreatBook community, the largest threat intelligence community in APAC. This provides visibility into campaigns targeting your sector that Western-focused intelligence vendors do not observe directly.
The ThreatBook Products Behind
Energy Sector Defence
Advanced Threat Intelligence, 2,000+ adversary groups tracked, including OT-targeting nation-state actors. 99.9% accuracy. 20,000+ APT incidents uncovered. Campaign-level context for energy sector threats.
Learn moreIntelligence-enriched NDR. IT/OT boundary detection, zero-day detection via ML, and full encrypted traffic visibility without decryption.
Learn moreSee ThreatBook Mapped to
Your OT/IT Environment
Book a 30-minute session. We'll show how ThreatBook ATI tracks the specific adversary groups targeting your sector, and how TDP detects the lateral movement patterns that characterise OT-targeted attack campaigns, using your network topology as the reference point.
No commitment. Response within 1 business day.