Forescout Enhances Cybersecurity Capabilities by Integrating Microsoft Sentinel

Forescout, a renowned global cybersecurity leader, has announced its integration with Microsoft Sentinel as part of its commitment to supporting the Microsoft Security portfolio. This collaboration aims to provide enterprises with real-time visibility, threat management, and incident response capabilities across various endpoints, such as campus, data center, remote workers, cloud, mobile, IoT, OT, and IoMT.

Integration Benefits

By integrating with Microsoft Sentinel, Forescout enables enterprises to continuously identify and classify every connected asset type – IT, OT, IoT, and IoMT – whether managed, unmanaged, or un-agentable. This integration provides organizations with a holistic view of their enterprise environment, including valuable device context, logical and physical network location, risk exposure, device identity, and taxonomy.

Automated Security and Compliance Enforcement

Forescout’s integration empowers enterprises to enforce appropriate security and compliance measures. With real-time risk assessment and remediation of endpoint posture, Forescout enables organizations to harden devices, enforce least-privilege network connectivity through segmentation policies, and implement automated detection and quarantine controls, facilitating a true zero-trust architecture.

Integration Features

Forescout’s in-depth integration with Microsoft Sentinel, along with its existing touch points with Microsoft’s Enterprise suite of solutions, delivers significant benefits to joint customers. These include real-time device context, risk insights, and automated mitigation and remediation capabilities. Joint customers can leverage this integration to enhance their overall security response times to incidents and events.

Accelerated Mean Time to Respond (MTTR)

The Forescout integration with Microsoft Sentinel enables faster MTTR, ensuring that organizations can swiftly respond to security incidents. By seamlessly orchestrating host-based remediation through Microsoft Defender and network-based response via Forescout, security operations centers can effectively reduce response times, boosting their ability to mitigate risks promptly.

Comprehensive Asset Discovery and Inventory

With the integration, enterprises gain comprehensive, real-time asset discovery and inventory capabilities. This enables organizations to have a comprehensive understanding of their endpoints, facilitating better asset lifecycle management, and reducing the attack surface by promptly identifying and addressing vulnerabilities and indicators of compromise.

Automated Threat Management

Forescout’s integration empowers organizations to proactively manage threats. By automating the assessment of endpoint posture and enforcing compliance measures, at-risk devices can be quarantined, issues remedied, and endpoints permitted back onto the network with appropriate network segmentation policies, providing robust protection in real-time.

Access to Microsoft Sentinel Content Hub

The integration also grants customers access to the Microsoft Sentinel Content Hub. This hub offers a wide range of robust built-in and partner-published content and solutions, allowing organizations to enhance their cybersecurity capabilities with just the click of a button. This access further strengthens the overall value proposition of Forescout’s integration with Microsoft Sentinel.

The integration of Forescout with Microsoft Sentinel brings significant advancements in the realm of cybersecurity. By providing real-time visibility, automated threat management, and enhanced incident response capabilities, enterprises can effectively safeguard their extended enterprise, spanning various endpoints. With this collaboration, organizations can expect faster mean time to respond, comprehensive asset discovery, automated compliance enforcement, and accelerated threat detection and remediation, ultimately bolstering their overall security posture.

Explore more

Agentic AI Redefines the Software Development Lifecycle

The quiet hum of servers executing tasks once performed by entire teams of developers now underpins the modern software engineering landscape, signaling a fundamental and irreversible shift in how digital products are conceived and built. The emergence of Agentic AI Workflows represents a significant advancement in the software development sector, moving far beyond the simple code-completion tools of the past.

Is AI Creating a Hidden DevOps Crisis?

The sophisticated artificial intelligence that powers real-time recommendations and autonomous systems is placing an unprecedented strain on the very DevOps foundations built to support it, revealing a silent but escalating crisis. As organizations race to deploy increasingly complex AI and machine learning models, they are discovering that the conventional, component-focused practices that served them well in the past are fundamentally

Agentic AI in Banking – Review

The vast majority of a bank’s operational costs are hidden within complex, multi-step workflows that have long resisted traditional automation efforts, a challenge now being met by a new generation of intelligent systems. Agentic and multiagent Artificial Intelligence represent a significant advancement in the banking sector, poised to fundamentally reshape operations. This review will explore the evolution of this technology,

Cooling Job Market Requires a New Talent Strategy

The once-frenzied rhythm of the American job market has slowed to a quiet, steady hum, signaling a profound and lasting transformation that demands an entirely new approach to organizational leadership and talent management. For human resources leaders accustomed to the high-stakes war for talent, the current landscape presents a different, more subtle challenge. The cooldown is not a momentary pause

What If You Hired for Potential, Not Pedigree?

In an increasingly dynamic business landscape, the long-standing practice of using traditional credentials like university degrees and linear career histories as primary hiring benchmarks is proving to be a fundamentally flawed predictor of job success. A more powerful and predictive model is rapidly gaining momentum, one that shifts the focus from a candidate’s past pedigree to their present capabilities and