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With the explosion of new devices, new networks, massive volumes of flows and logs, and ever-increasing expectations and fear from auditors and business leaders, many Security Operations leaders are increasingly looking for ways to improve their programs and reduce risks.
There is a key formula to look for when you are reviewing your existing security program or if you and the team are out exploring modern SIEM, SOAR, XDR and GRC platforms. Visibility + Context for Threat Detections and Remediation and Compliance Reporting.
“You can’t protect what you can’t see” – the old adage is true and perhaps more so now than ever. It’s not just “bring your own device” now, it’s bring your own everything, and it’s not just “remote work” – it’s work from anywhere, anytime.
Today, unlike in the past, it is possible and affordable to ingest data from many different sources in many different formats. From on-premises and cloud logs from DNS and Firewalls to NetFlow, sFlow, and other metadata from networks to events from endpoints, servers, and cloud VMs to identity and access usage from Active Directory and applications.
Having visibility across all environments, infrastructure, users, and applications is critical and, thanks to modern architectures and APIs, easier than ever before. Visibility enables administrators and teams to visualize issues with configurations and configuration drift, track East-West and North-South movements of threat actors, and provide the context for alerts.
WIth all of the visibility and telemetry that is possible today, the only way to make sense of it all is to analyze it in real-time with AI/ML. With “streaming machine learning”, modern platforms are able to not just detect anomalous behaviors, malware, ransomware, advanced persistent threats, data exfiltration, security posture drift, credential misuse, and more.
More importantly, with advanced detections that are running 24/7, there is a need for context. Where did the breach occur, how did the attacker traverse machines and networks, what was the target, and what was the timeline? How was the alert and response generated? What risk factors led to the response, how does the attack map to MITRE ATT&CK?
Combining great visibility and correlation with every detection provides the context and situational awareness that analysts and, eventually, auditors need.
A modern platform for security operations teams that enables well-instrumented visibility across networks, endpoints, applications and infrastructure with comprehensive visibility will likely have templates for common audit reports for specific compliance frameworks and regulations. These reports save time and provide the consistency and repeatability that auditors look for. Some platforms have a comprehensive report customization capability including the ability to automate the production sharing of reports.
There are platforms like Seceon’s aiSIEM and aiXDR that combine all of these capabilities together in an integrated, seamless and cost-effective way.
Seceon enables MSPs and MSSPs to reduce cyber threat risks and their security stack complexity while improving their ability to detect and block threats and breaches at scale.
Seceon’s aiSIEM platform augments and automates MSP and MSSP advanced security services. With a SIEM-based detection and response platform. It delivers continuous coverage by collecting telemetry from logs, events, identity management, networks, endpoints, clouds, and applications. It is all enriched and analyzed in real-time by applying threat intelligence, AI, and ML models built on behavioral analysis and correlation engines to detect and alert reliably.
Today, over 300 plus partners are reselling and running high-margin, efficient security services with automated cyber threat remediation and continuous compliance for over 7,500 clients.
Also available is Seceon aiXDR. It takes a holistic approach to cybersecurity by gathering deep insights from endpoints, servers, clouds, network devices, applications, IOT, and OT and applying user identity, threat intelligence, and vulnerability assessment to establish threat profiles, generating threat indicators, raising essential alerts, and offer remediation path – automated or triaged. In essence, the solution ensures multi-layered threat detection and response, relying on EDR, Network Behavior, Advanced Correlation (SIEM), Network Traffic Analysis, UEBA (ML-based), and SOAR for an All-In-One platform that is organically and seamlessly fused together.
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