Tackling Insider Threats with AI-Driven Detection
Exeon spots, ranks and correlates strange user behavior the moment it happens, giving security teams the visibility and speed traditional tools miss.
Limitations of traditional cybersecurity measures
of organizations feel prepared to detect and respond to insider threats.
of insider attacks go undetected for more than two years before discovery.
of insider threats come from negligent employees or contractors, while only 23% are with malicious intent.
Current issues around insider threat protection highlight the critical need for advanced NDR to provide real-time monitoring and rapid threat detection across hybrid environments
Fragmented visibility in hybrid environments
With advances in Zero Trust Architectures, more staff, contractors and suppliers are logging in from potentially untrusted locations. Without consolidated/complete visibility of on-prem, SaaS and OT traffic, risky behavior slips by unnoticed.
Credential misuse and malicious insiders
Compromised credentials, misused access tokens, and privilege escalation allow attackers or insiders to operate under trusted identities and bypass traditional controls.
Delayed detection of covert data exfiltration
Large but covert file transfers and cloud synchronizations often utilize encrypted channel which can not be inspected by traditional DLP suites. This makes it hard to react before critical data gets leaked and potentially published.
How Exeon fights insider threats
Holistic visibility
Providing context to alerts
Real-time detection
High fidelity alert reporting
Trusted by critical infrastructures and institutions globally
Insider threat management strategy
Deploy & integrate
- Implement NDR for comprehensive network monitoring (north-south & east-west traffic).
- Deploy UEBA to enable real-time monitoring of user and device behavior.
- Seamlessly integrate with SIEM, SOAR, and EDR for a unified security approach.
- Validate Zero Trust and other security policies to ensure restricted access is enforced.
Monitor & establish baselines
- Continuously collect and analyze both network traffic and user activity data.
- Utilize AI-driven analytics to establish baselines for regular user behavior.
- Leverage the Exeon approach to achieve security, privacy and confidentiality all-in-one.
Detect & analyze threats
- Identify anomalies in network and user behavior that signal potential insider threats.
- Use machine learning and AI-powered detection to recognize subtle malicious activity.
- Classify and prioritize risks by utilizing behavior-based anomaly scoring.
Automate response & mitigation
- Trigger real-time, context-rich alerts for integrated response tools.
- Connect seamlessly with SOAR, SIEM, and firewalls for automated action.
- Detect and escalate data exfiltration, lateral movement, and account compromise.
- Let your existing stack restrict access or isolate threats instantly.
Continuous improvement & data sovereignty
- Tune and refine the models to adapt to an evolving threat landscape.
- Define and write your own analyzers or prepare for future enhancements in application-centric security analytics.
- Keep your data in your control with fully local processing and reporting.
Exeon.NDR in action
How AI benefits threat triage
Guided threat detection tour
NIS2, DORA & KRITIS Guide
AI against advanced threats
What our customers say
Regional Practice Head, Wipro
“Exeon is the ideal solution for transitioning from a legacy SOC to a Next-Generation SOC. It enhances detection capabilities, minimizes alert noise, and significantly reduces costs.”
Network & Security Engineer, Solothuner Spitäler
“Exeon is our cybersecurity alarm system, alerting us to any network anomalies. What also really convinced us is the platform’s intuitive interface—it has become a tool to reliably monitor and secure our data and network.”
ICT Project Leader, WinGD
“Exeon provides us with complete visibility of our network data flows and automatically detects suspicious behavior. Thanks to their AI algorithms, we immediately identify potential cyber threats and can respond quickly and efficiently. This way, we prevent attackers from moving undetected in our systems, infiltrating the infrastructure, or bypassing existing security measures.”
CISO, SWISS International Airlines
“As the Swiss national airline, we are driven by a passion for exceptional performance, in the spirit of our guiding principles. A stable and secure IT is the most important basis for an excellent customer service. For the security of SWISS IT, we use Exeon as a central cybersecurity tool, fully managed by our long-term partner Reist Telecom AG. A perfect combination and solution to monitor our network and quickly detect any kind of anomalies.”
Director of Research & Lead Analyst, KuppingerCole
“The management and analyst interfaces are intuitive and can yield important insights for customers. Exeon’s approach to data retention helps customers keep data local for regulatory compliance and reduces costs for long-term storage by only retaining event metadata. The solution supports the most pertinent standards for exchanging threat information.”
Further solutions
Alerting & Reporting
- Continuous network traffic analysis.
- AI & ML that minimizes false positives and alert fatigue.
- Future-proof analytics technology with an intuitive GUI.
Real-Time Threat & Anomaly Detection
Exeon’s AI-driven real-time threat and anomaly detection safeguards businesses by instantly identifying advanced threats and mitigating risks.
- Flow and log-based detection using supervised, unsupervised and statistical ML models.
- Event tagging and risk scoring to support analyst-driven classification.
- Detection models can be refined manually through analyst feedback and tuning.
Scalability
- Zero downtime, uninterrupted service even during peak or high-demand periods.
- No manual interventions are needed.
- Real-time adjusted server and resource allocations.
Integration
- Easy to use & intuitive navigation.
- Efficient alerting & risk-based prioritization.
- Native compatibility with cloud platforms & much more.
Industry-focused use cases
Public security, private data protected
Robust and precise monitoring and security for critical infrastructure and confidential government data.
Secure patient data & compliance
Sensitive patient data protection and compliance (HIPAA, etc.) by detecting anomalous behavior of users and devices.
Financial sector applications
Exeon monitors transactions and user behavior in real-time to identify suspicious activity, prevent insider threats, and more.
Made for the industrial world
Comprehensive OT and IT monitoring to secure production facilities and machine controls, detect anomalies, and more.
Zero Trust in the finance sector
Support DORA compliance, while also eliminating inherent trust in networks by enforcing continuous identity verification, limiting access to critical assets & more.
Frequently asked questions
Exeon revolutionizes insider threat management with AI-driven detection, real-time behavioral analytics, and Zero Trust security, ensuring organizations can swiftly identify and mitigate risks from within. By seamlessly integrating with hybrid and multi-cloud environments, Exeon provides unparalleled visibility, automated response, and scalable protection against insider-driven data breaches.
What are insider threats and why are they a significant risk?
Insider threats are security risks posed by individuals within an organization, such as employees or contractors. These can involve malicious actions or unintentional mistakes. Insider threats account for 60% of data breaches and can result in significant financial and reputational damage. Detecting and mitigating these threats is particularly challenging, especially in cloud and hybrid environments.
What is the biggest danger for organizations today regarding insider threats?
One of the biggest dangers of insider threats is the growing sophistication of insider attacks, especially with AI-powered threats and data exfiltration techniques. Key risks include data theft & espionage, AI-assisted insider threats, compromised credentials, cloud security risks, financial and operational damage, and even nation-state and organized crime involvement. Organizations must implement behavioral analytics, Zero Trust security, and strict access controls to mitigate insider threats effectively.
How does Exeon support hybrid and multi-cloud environments?
How does Exeon use AI in insider threat management?
Exeon utilizes AI and machine learning to establish behavioral baselines for users and devices, detect anomalies in network and user behavior, flag deviations from normal activity and highlight potential risks, and automate the detection and response process to improve security and reduce manual effort.
Does Exeon require endpoint agents for deployment?
No, Exeon operates in an agentless mode, making it scalable and easier to deploy in large, distributed environments without the need for endpoint agents. Find more details on specific, easy and quick deployments here.
