of all secutity incidents within Financial Services represent Denial of Service.
Web Application Attacks and Payment Card Skimming
of the Data Compromised is due to credentials
|UEBA & INSIDER THREATS aw|
|CLOUD SECURITY aw|
|INCIDENT RESPONSE aw|
|REGULATORY COMPLIANCE aw|
|MODERN SIEM aw|
|VUNERABILITY EXPLOITS aw|
|STRICT POLICY ENFORCEMENT aw|
|IOT/LLOT & BYOD aw|
Security is vital especially as companies embrace new technologies, such as, Cloud, Big Data, IoT, and Mobility. Most organizations are unable to deal with the increasing
number and sophistication of cyber threats because it either takes them too long to identify them or takes too much time to stop them from inflicting damage once the
organizations have been breached
Comprehensive visibility is the punch line today for all monitoring and security tools and platforms. There are multiple single pane of glass views for network traffic, applications, users respectively. The challenge for any enterprise is to understand all the interactions holistically and drill down into details.
Seceon OTM Platform ingests all your raw streaming data (Logs, Flows, Users) from any device in your environment. It then enriches the data extracting meaningful features to provide real-time extensive view of all assets (users, hosts, servers, applications, traffic) that are on premise, cloud or both and their interactions.
Threat detection involves finding anomalies by analyzing and correlating intelligence from large and disparate data sources. The objective is to determine the abnormalities and analyze their threat levels. Majority of tools and platforms, even though, are positioned to monitor, identify and manage security threats but are actually designed to collect and analyze forensic data. In case of a security breach, typically most of the damage is done in the first hour or less.
Seceon OTM Platform proactively detects threats and surfaces them in real-time or near real-time. The platform uses dynamic threat models, machine learning and AI with actionable intelligence combined with feature engineering for threat detection of known and unknown threats. The platform performs threat detection across your cloud, on-premises, and hybrid environments.
Threat remediation refers to the process by which organizations resolve threats identified in their ecosystem. Modern day tools and platforms provide remediation by putting teams of security experts to write complex rules or outsource analysis, remediation, and reporting. The process of course is expensive and prone to human errors.
Seceon OTM Platform performs automatic threat containment and elimination in real-time. It also provides clear actionable steps to eliminate the threats that can either can be prompted automatically by the system or manually by the security expert post-analysis. The auto-remediation, however, can triggered as per a specific schedule configurable in the platform.
Organizations need to adhere to security governance and regulatory compliance audit and reporting to avoid any litigations while remaining accountable to business objectives. They must conform to the stated requirements, such as, GDPR, HIPAA, PCI-DSS, FINRA, NIST, etc., which varies by industries and geographies.
Seceon OTM Platform offers security governance and regulatory compliance reports for HIPAA, GDPR, PCI-DSS, NIST, FINRA. The platform offers long-term data analytics for security operations and investigation support.
Behavioral Analytics & Predictive Modeling
Zero-day Malware and Insider Attacks
Rapid Deployment with Integrated DevOps Model
Contextual real-time Alert with Automated Analysis & correlation
No rules to define and no thresholds to adjust
Analyzes data and incorporates threat intelligence feeds for correlation
Data-driven and Agentless Solution
Robust, large-scale data collection form cloud and all data sources
Streaming platform which scales to billions of events handling per sec
Unified platform for Ingestion, Storage and Analytics
Eliminates SILO solutions and gaps
Scalable architecture with support for multi-tenancy 7 data segregration
Virtualization and Cloud ready
Out-of-the-box Automated Threat containment and Elimination
Enhanced data analytics beyond rules with contextual real-time alert for "threats-that-matter" and automated response
Real-time Stream Processing and Big-Data Engine
Out-of-the box scalability, redundancy with clustering support
Machines learning and AI with Actionable Intelligence
Cognitive abilities are built using non-stop, rea-time unsupervised and semi-supervised Learning; Create a baseline based on observed data over a period of time
Executes a suite of general anornaly and threat specific algorithms and intelligently decays outdated experience
AI Engine automates analysis, minimize false positives,improves accuracy,and delivers real-time performance
Dynamic Threat Models
Automate the task of writing rules in order to detect real threat issues form plethore of threat idicators
Threat models are based on patented techmology where rules are all preconfiured and they adjust dynamically
Long Term Storage and Analysis of Row Logs up to 7 years
Configurable data retention policies
Inregrates with 3rd party ticketing systems
Theat intelligence hub
Takes over operation of DR site in case of disaster
Regulatory compliance featuers and reporting
Scheduled/On-Demand customizable reports
Web-based User Interface (UI), Customizable dashboards with Drill Down
Supports well-known authentication services
Security Monitoring of Cloud Platform and Cloud Applcations
Organization face several threats directed towards their IT.
Turn-key Insider Threat Detection and management Platform
Proactive Data Loss Prevention
Uncovering fraud using security analytics approach.
Threat and Risk Monitoring of key Enterprise Applications.
Bringing Focus and Effectiveness to IAM.
Monitoring the keys to the Kingdom.
A TIP collects and aggregates multiple data formats from multiple sources
The TIP allows organizations to begin to automatically analyze
To build enriched context around threats, A TIP must be able to automatically augment
The TIP automatically analyzes the content of threat indicators
Data from the platform needs to find a way back into the security tools & products
A mature threat intelligence platform deployment also handles response processing.
Security Information and Event Management (SIEM) is a software solution that aggregates and analyzes activity from many different resources across your entire IT infrastructure. SIEM collects security data from network devices, servers, domain controllers, and more.
SIEM software works by collecting log and event data generated by an organizations applications, security devices and host systems and bringing it together into a single centralized platform. ... In this way it detects threats and creates security alerts.
SIEM tools provide: Real-time visibility across an organization's information security systems. Event log management that consolidates data from numerous sources. A correlation of events gathered from different logs or security sources, using if-then rules that add intelligence to raw data.
Intrusion detection and prevention systems (IDS/IPS) alone won't be able to detect or prevent malware like this, which is why a SIEM is so essential. Additionally, SIEM solutions are able to aggregate data from across your entire network, and analyze this data together to limit false-positives.
SIEM stands for Security Incident Event Management and is different from SOC, as it is a system that collects and analyzes aggregated log data. SOC stands for Security Operations Center and consists of people, processes and technology designed to deal with security events picked up from the SIEM log analysis.
SIEM products provide real-time analysis of security alerts generated by applications and network hardware. This term is somewhat of an umbrella for security software packages ranging from Log Management Systems to Security Log / Event Management, Security Information Management, and Security Event correlation.
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