Full Report
And how you can protect yourself against a forecast of volatile threats
Analysis Summary
# Main Topic
Forecasting volatile cyber threats for 2025 and outlining necessary defensive strategies based on expert analysis of ongoing cyberattack investigations, focusing on how organizations can protect themselves against predicted trends like increased geopolitical aggression, ransomware expansion, and evolving attacker techniques.
## Key Points
- Predictions point towards increased Russian cyber aggression, a growing ransomware ecosystem, attackers targeting cloud platforms, more pervasive use of Living Off the Land (LOTL) tools, and ransomware groups expanding geographically.
- Attackers often assume organizations only utilize basic, baseline protection layers.
- The industry will see a shift towards integrating identity and access information into detection logic, revisiting User and Entity Behavior Analytics (UEBA).
- Correlation of telemetry across network, endpoint, information, identity, and infrastructure remains crucial, emphasizing intelligent filtering and tiered aggregation over simple centralization.
- Customers expect advanced capabilities like machine learning and AI to become automated and built-in rather than optional interactive features.
- Unified threat detection and response systems combining EDR, XDR, and security orchestration will become essential for real-time monitoring and remediation across distributed environments.
- Advanced Data Loss Prevention (DLP) strategies will leverage NLP and ML to detect sensitive data sharing in decentralized workflows, focusing on context-aware protection.
## Threat Actors
- **Russian Aggressors:** Specifically mentioned in context of potential escalation and targeting critical infrastructure.
- **Ransomware Groups:** Expanding into new geographic regions.
- **General Threat Actors:** Leveraging Proliferating cybercrime tools.
## TTPs
- **Living Off the Land (LOTL):** Attacks using legitimate operating system features and tools are increasing (nearly 50% of 2021–2023 ransomware attacks utilized LOTL tools).
- **Targeting Cloud Platforms:** Increased focus on exploiting once-trusted cloud environments.
- **Identity Theft and Masquerading:** Stealing identities and monitoring behavior to fully impersonate legitimate users, even those with elevated privileges.
- **Behavioral Detection Evasion:** Attacks becoming harder to detect solely based on tool usage, necessitating identity-based analytics.
## Affected Systems
- **Critical Infrastructure:** Specifically mentioned as a target for groups like Dragonfly.
- **Legacy Systems and Point-of-Sale Devices:** Highlighted as assets that require special protection, potentially missed by standard solutions.
- **Cloud Platforms:** Identified as a new domain of targeted attacks.
- **Endpoints:** All systems utilizing legitimate system tools are susceptible to LOTL attacks.
## Mitigations
- **Endpoint Detection and Response (EDR):** Deploying EDR (Symantec EDR or Carbon Black EDR) to detect connections from known malicious IPs (e.g., Russian addresses) and spot ransomware-associated behaviors.
- **Application Control:** Implementing controls (e.g., Carbon Black App Control) to allow only trusted applications to run, enforcing a Zero Trust posture.
- **Data Loss Prevention (DLP):** Utilizing DLP solutions (e.g., Symantec DLP) to prevent access to sensitive data across attack vectors.
- **Adaptive Protection:** Employing features that automatically block anomalous use of legitimate tools, specifically mitigating LOTL risks.
- **Driver Watchlists:** Subscribing to watchlists identifying vulnerable and malicious drivers that serve as LOTL targets.
- **Identity Integration:** Incorporating identity and access information into detection logic (UEBA enhancement).
- **Unified Platforms:** Implementing unified platforms combining EDR, XDR, and security orchestration for comprehensive, automated visibility and response.
- **Advanced DLP:** Evolving DLP with NLP/ML for real-time detection in decentralized workflows, utilizing automated redaction and granular access controls.
## Conclusion
The threat forecast for 2025 indicates a maturing and broadening threat landscape, characterized by state-sponsored aggression, complex ransomware operations, and heavy reliance on evasive TTPs like LOTL techniques. Defense must evolve past baseline assumptions by implementing robust, integrated security controls that leverage advanced analytics, focus on identity correlation, and incorporate automation for rapid response across EDR/XDR domains. Proactive defense against identity masquerading and system abuse is paramount to meeting the projected volatile threat environment.