Explore BC-ESM
Enterprise Security Monitoring
In today’s data-driven world, security is paramount. BC-ESM (Black Cell Enterprise Security Monitoring) Core module is a backbone of the entire detection ecosystem. Under the hood we adopted Elasticsearch as a log manipulation platform, which capabilities predestinate it to serve as a SIEM (Security Event and Information). With advanced features, BC-ESM enables organizations to maintain a secure and resilient environment while leveraging powerful search and analytics capabilities.
Key Security Features
CISO Dashboard
Our web application provides all the essential information that a C-level executive would want to see, including log source coverage, detection coverage, alert status, ticket status – especially with a focus on SLAs – and more. threats in 24/7
SIEM Capabilities
BC-ESM delivers advanced SIEM capabilities with real-time monitoring, event correlation, and analysis. It enables efficient threat detection, investigation, and response, while offering native integration with most security vendors for easy onboarding.
Open Data Model
This framework designed to standardize and simplify security detections. It provides a structured way to define security rules, detections, and analytics using Detection as Code (DaC) principles and natively supports MITRE ATT&CK and follows an open approach to security detections.
Audit Logging and Monitoring
BC-ESM provides detailed audit logs to track user activities, access attempts, and system changes. These logs help organizations identify potential security incidents, comply with regulatory requirements, and conduct forensic analysis when needed.
Compliance and Regulatory Support
BC-ESM aligns with various industry standards and regulatory requirements, such as NIS2, HIPAA, SOC 2, and ISO 27001. This ensures that organizations can confidently use BS-ESM while meeting strict compliance mandates.
Scalability and Performance
BC-ESM is designed to scale with growing data needs, ensuring optimal performance even in large-scale deployments. Its distributed architecture supports high availability, rapid indexing, and seamless expansion to meet global enterprise demands.
Secure Multi-Tenancy
For enterprises managing multiple teams, departments, or customers, BC-ESM supports secure multi-tenancy. This ensures data isolation and allows each tenant to have customized security configurations without affecting others.
Role-Based Access Control
BC-ESM allows organizations to define granular permissions, ensuring that users only have access to the data and features necessary for their roles. This reduces the risk of unauthorized data access and strengthens compliance with security policies.
Authentication and Single Sign-On (SSO)
BC-ESM integrates seamlessly with multiple authentication providers, including LDAP, Active Directory, and SAML-based SSO. This enables organizations to enforce strong authentication mechanisms and streamline user access management.
Data Encryption at Rest and in Transit
To protect sensitive data, BC-ESM offers encryption mechanisms both at rest and in transit. Secure Transport Layer Security (TLS) ensures data integrity and confidentiality while preventing unauthorized interception.
Explore the EDR feature
EDR Endpoint Detection & Response Feature
BC-EDR is a feature of Black Cell ESM Core Module that delivers comprehensive threat protection, powered by Elastic and enhanced with proven security intelligence from Black Cell Labs. BC-EDR combines signatureless prevention, intelligent analytics, and real-time response.
We utilize lightweight agents and enrich telemetry using native operating system solutions such as Sysmon and Auditd. Our platform is built upon Elastic’s endpoint security solution and further extended through our expertise in detection engineering. The BC-EDR stack supports Windows, macOS, and Linux environments, functioning effectively in hybrid, air-gapped, and fully cloud-native infrastructures.
Overview | EDR Feature
Detection Capabilities
Command-Line Audit
Tracks and logs command-line activity across systems. Since many attacks align with specific stages of the MITRE ATT&CK framework, this capability enables security teams to detect suspicious behavior, investigate threats, and create detections based on real-world attacker techniques.
Memory Protection
Provides in-memory exploit detection and prevention to defend against fileless attacks, shellcode injections, and other memory-based threats that traditional signature-based tools may miss.
Registry Monitoring
Continuously monitors changes to the Windows registry—a frequent target for persistence and configuration manipulation—helping detect unauthorized modifications and ensure system integrity.
Behavioral, Signature & TTP-Based Detection
Combines traditional signature-based detection with machine learning, behavioral analysis, and sector-specific TTP heatmaps for layered defense. While signatures quickly catch known threats, behavioral analytics detect anomalies and previously unseen attack patterns.
Autoruns Detection
Identifies and monitors applications and scripts configured to run automatically at startup – a common tactic used by adversaries for persistence.
COM Object Surveillance
Detects and analyzes the abuse of Component Object Model (COM) objects, which are often used by attackers to evade detection or maintain persistence stealthily.
OSQuery Integration
OSQuery provides endpoint visibility by allowing security teams to query infrastructure as if it were a database. With SQL-like syntax, it supports live and scheduled queries across endpoints to gather data on processes, user activity, installed software, network connections, and more—empowering threat hunters with flexible, on-demand visibility for investigation, detection, and compliance.
Explore more | EDR Feature
Response Functions
Isolate Host
Immediately isolates a compromised or suspicious host from the network, maintaining only communication with the Elastic Stack. This action is crucial to halt lateral movement or data exfiltration during an incident.
List Active Processes
Displays all running processes on a host, aiding live investigations and enabling further actions such as suspending or terminating specific processes.
Terminate Process
Kills a suspicious process using its PID or entity ID. Entity IDs are preferred for reliability, as they are unique and not reused.
Suspend Process
Halts execution of a running process without terminating it—useful for forensic or containment purposes.
Secure File Retrieval
Downloads files from a host as password-protected ZIP archives to prevent accidental execution, allowing safe offline analysis.
File Upload
Sends a file (e.g., script or tool) to a host, which can then be executed remotely for remediation or data collection.
Remote Command Execution
Runs shell or command-line instructions directly on the host. Useful for remote triage, file inspection, or cleanup operations. Output is provided in both console and downloadable formats.
Malware Scanning
Scans specific files or directories on the host using the Elastic Defend malware engine, in accordance with policy settings such as blocklists and prevention modes.
Explore the Anomaly Detection Feature
Anomaly Detection Feature
Security teams today face overwhelming volumes of log and telemetry data—from infrastructure, system, and application sources. While traditional tools like filtering, detection rules, and dashboards help distill this information, they’re often limited in scope. Filters require you to know exactly what you’re looking for. Dashboards rely on constant human monitoring. Rules are powerful but difficult to fine-tune without generating noise or missing critical edge cases.
Environments evolve quickly, and so do attacker tactics. That’s why modern detection must go beyond static methods to identify subtle or unexpected behavior changes that signal real threats.
Overview | Anomaly Detection Feature
Intelligent, Real-Time Monitoring at Scale
Black Cell ESM’s Anomaly Detection module brings intelligence into the detection process through machine learning. Built for large-scale, high-throughput environments, it continuously monitors logs, user behavior, network traffic, and application events to detect deviations from normal activity in real time.
By combining both supervised and unsupervised ML techniques, the system can identify patterns that traditional, signature-based tools often miss—such as insider threats, privilege abuse, or slow-burning, low-signal attacks. The result: smarter, faster, and more accurate detection across your digital estate.
Black Cell ESM’s Anomaly Detection empowers your SOC with continuous, low-latency insight into what’s happening across your environment—no ruleset or manual filtering required. Just smart, adaptable detection that keeps getting better over time.
Key Features
Time-Series Anomaly Detection
Flags suspicious patterns in behavior over time—like unexpected login times, unusual access spikes, or data exfiltration attempts.
Reduced Analyst Workload
Automates the identification of high-risk events, helping teams focus on what matters most and cut through alert noise.
Customizable ML Jobs
Easily tune models and create organization-specific ML jobs based on your environment, user patterns, and risk profile.
Temporal & Population Analysis
Learns what “normal” looks like for users and systems, then surfaces deviations—making it ideal for detecting anomalies in user behavior and system activity.
Insider Threat Monitoring
Identifies unauthorized access, misuse of privileges, and stealthy internal activity that often flies under the radar.
Network & Endpoint Anomaly Detection
Detects irregular traffic flows, behavioral outliers, and suspicious endpoint activities across your infrastructure.
Explore the Deception feature
Deception Feature
Cyber Deception allows for the placement of traps with no business value; “normal” is defined as no interaction. Its value lies in being probed, attacked, or compromised. Any interaction is abnormal and thus actionable. The power dynamic can be reversed when utilizing deception tactics, as previously the attacker needed only to achieve success on one occasion, whereas the defender was obligated to maintain constant success.Now, if the attacker interacts with a honey object even once, you have accomplished the hardest part of security, which is detecting the adversary.
In addition to existing solutions, the ESM system makes extensive use of deception-based techniques to further enhance the security posture of your organisation.
Overview | Deception Feature
Employed Techniques
Low-Medium interaction Honeypots
Low-Medium interaction honeypots are a great starting point in your Cyber Deception journey. They are simple to set up, provide great logging, require little maintenance and we do not have to worry about increasing the attack surface. Supported services include FTP, SSH, HTTP and RDP. An excellent example of a medium interaction honey service is deploying a honey HTTP service that hosts a simulated internal login page. This approach provides valuable intelligence on the attackers’ level of progression based on the credentials they attempt to use. Alternatively, we can opt for minimal interactivity by setting up honeypots that simply trigger alerts when they are scanned.
Honey Accounts
A Honey Account is a user account within the environment that serves no functional purpose but is designed to detect malicious activity. These accounts are highly effective for identifying otherwise challenging-to-detect attacks, such as password spraying, Kerberoasting, or AS-REP Roasting.
Honey Credentials
Credential dumping remains one of the most commonly employed techniques by attackers. To mitigate this, decoy credentials can be strategically placed in memory or broadcasted via LLMNR to mislead and monitor adversaries seeking such information.
Honey Files
We can create files with enticing names, such as passwords.xlsx or network.drawio, and place them in locations where no legitimate user is expected to access them. This allows us to monitor and detect any unauthorized interactions.
Honey Folders
Folders can be created and configured to trigger alerts upon access or opening.
Fake Social Media Accounts
Engaging attackers during the OSINT phase of their operation can be achieved by creating social media accounts (e.g., LinkedIn or Twitter) and disseminating false information. This strategy ensures that their entire operation is based on fabricated data. A particularly effective approach involves crafting a fictitious IT administrator persona, who projects expertise in a technology that the organization does not actually utilize.
Why Black Cell ESM?
The Benefits of Choosing Black Cell ESM
Black Cell ESM offers comprehensive, integrated cybersecurity with advanced threat detection, minimal false positives, and continuous support, ensuring robust protection and compliance for your organization.
Why Us?
Industry-leading expertise, innovative cybersecurity solutions, and commitment to providing comprehensive protection and continuous support for your organization’s security needs.
All capabilities
Enterprise Security Monitoring
The BC-ESM is a backbone of the entire detection ecosystem. Under the hood we adopted Elasticsearch as a log manipulation platform, which capabilities predestinate it to serve as a SIEM (Security Event and Information). With advanced features, BC-ESM enables organizations to maintain a secure and resilient environment while leveraging powerful search and analytics capabilities.
NSM for IT and OT
ESM Network Security Monitoring analyzes mirrored IT and OT network traffic using both signature-based detection and deep packet inspection. The platform features a built-in, configurable incident handling module to streamline security event response. By connecting to a wide range of log sources and offering robust inventory capabilities, it delivers enhanced visibility and improves asset management.
Endpoint Security
ESM’s Endpoint security is an agent-based solution for Windows, *nix and Mac designed for detection and response capabilities, ensuring comprehensive protection against a wide array of threats. It effectively counters sophisticated cyber-attacks, able to block unknown and polymorphic malware and ransomware, and stops advanced threats using host-based behavior analytics. With high-fidelity alerting, it minimizes noise, allowing your team to focus on genuine threats.
Anomaly detections
ESM incorporates machine learning features to automate the detection of anomalies and unusual patterns in log data. This capability is crucial for identifying potential security threats and operational issues before they escalate.
Deception
Cyber deception strengthens your organization’s security by deploying valueless decoys where any interaction is suspicious and actionable, shifting the advantage to defenders by turning a single attacker touch into high-confidence detection.
Threat Intelligence by Black Cell Labs
Detection as Code
Detection-as-Code is a foundational principle of Black Cell ESM. It treats detection rules not as static configurations, but as living code—developed, tested, and deployed using modern software engineering practices.
IoC
BC-IoC is the threat intelligence module of the Black Cell ESM platform, delivering real-time, high-fidelity Indicators of Compromise (IoCs) to boost detection, prevention, and threat hunting across your security ecosystem.
NSM
While BC-NSM already delivers powerful capabilities like network traffic analysis, metadata extraction, and anomaly detection, the true strength of the platform is unlocked when paired with our curated Threat Intelligence Feed.
