Threat Exposure Management: The Future of Cybersecurity
This is the fifth blog in a five-part series from TAG. Click here for the first blog, Introduction to Threat Exposure Management and its Outcomes. The cybersecurity landscape is continuously evolving, marked by an ever-expanding array of threats and challenges. Organizations, both large and small, find themselves grappling with the dynamic nature of cyber threats. From ransomware to supply chain compromises, threat actors are rapidly innovating new ways to exploit vulnerabilities for financial and strategic gain. In this fluid threat environment, organizations cannot rely on static defenses. Organization’s need to adopt a proactive and adaptive approach to cybersecurity. This is where threat exposure management comes in. Exposure management provides the capability to continuously monitor assets, identify vulnerabilities, quantify risks, and prioritize remediation.
Emerging Threats and CTEM
The cyber threat landscape is experiencing an exponential increase in complexity and sophistication of attacks. While foundational threats like phishing remain prevalent, new threat types continue to emerge. Some key threats on the horizon include:- AI/Deepfakes: Realistic AI-doctored audio/video content is weaponized to enable highly targeted social engineering attacks against organizations.
- Ransomware 3.0: More advanced ransomware with capabilities for data encryption, data exfiltration and data alteration.
- IoT and OT Attacks: Lack of security in many IoT and OT devices provides an easy initial foothold into corporate networks for threat actors.
- Third-Party Risks: Vendors, suppliers and partners connected into an organization’s IT environment multiply the attack surface. Compromise of third parties enables island hopping to the ultimate targets.
- Nation-State Threats: Geopolitical tensions continue to drive growth in nation-state sponsored cyber warfare capabilities and attacks.
New Exposure Management Capabilities
Exposure management platforms are rapidly advancing with new features and capabilities focused on driving greater automation, using AI/ML and deeper integration with the other cybersecurity capabilities including:- Cyber Validation: Offensive testing tools like breach and attack simulation and automated red teaming provide the automation needed for continuous security validation.
- AI and Machine Learning: AI and machine learning to analyze large volumes of data and identify patterns indicative of potential threats. These technologies can help automate threat detection and response.
- Cloud/SaaS Security Posture Management: Tools to provide visibility into misconfigurations, policy violations and risk exposures in complex SaaS and cloud environments.
- IoT and OT Asset Management: Discovery, inventory and monitoring specifically customized for Internet of Things and Operational Technology environments and use cases.
- Third-Party Risk Ratings: Leveraging external data sources to analyze supply chain entities and provide cyber risk ratings to enable better vendor selection and monitoring.
- Cyber Risk Quantification: Flexible models to quantify cyber risks by potential financial impact based on asset value, threat landscape and vulnerability to provide mitigation priorities.
- Attack Surface Reduction: Using exposure management intelligence to shrink attack surfaces by closing unneeded ports/protocols, decommissioning redundant systems and tightening permissions.
- Security Orchestration and Automation: Tight integration with SIEM/SOAR platforms to enable CTEM triggered workflows and automated mitigation/response.