Nirwan Dogra's avatarPerson

Nirwan Dogra

Senior Software EngineerMicrosoft

Redmond, WA

Skills

Distributed Systems
Algorithms
Design Strategy

About

Senior Software Engineer specializing in cybersecurity, AI-powered detection, and large-scale cloud infrastructure, with over 10 years of industry experience across Microsoft and Amazon Web Services. I design and deliver production-grade security platforms for software supply chain protection across ecosystems such as NPM, Visual Studio etc, and cloud security pipelines for Azure. My work focuses on low-latency distributed decision systems, horizontally scalable processing architectures, and resilient release-gate mechanisms for high-risk artifacts in enterprise environments.

Published content

From Siloed Alerts to Unified Action: Moving Beyond Detection-Centric Cybersecurity

expert panel

An attacker who gains access through a stolen credential may quickly move across devices, cloud resources and network systems in search of valuable data or greater control. Each step can generate clues, but when those signals land in separate tools and queues, security teams may struggle to recognize the full attack before the damage spreads.This challenge is becoming harder to tackle as traditional boundaries between users, devices, applications and infrastructure continue to dissolve. NIST’s zero-trust guidance reflects that shift, moving security away from static, network-based perimeters and toward continuous decisions based on users, assets and resources. This same erosion of boundaries is what makes it harder to catch attackers who don’t need to break anything to move around. CISA’s guidance on identifying and mitigating “living off the land” techniques warns that attackers can abuse legitimate, trusted tools and processes to blend in with normal system activity, making isolated alerts harder to interpret without broader context.Yet many organizations still measure security effectiveness largely by how well they detect suspicious activity. Detection remains essential, but alerts alone don’t determine which risks matter most, coordinate action across environments, or help the business continue operating when defenses fail. That requires an approach that connects visibility with timely decisions, enforceable controls and plans for maintaining and restoring critical operations.Moving beyond a detection-centric model means reconsidering how security data, decisions and defenses work together across the enterprise. Below, members of the Senior Executive Cybersecurity Think Tank—with expertise in enterprise cybersecurity strategies, data breach prevention, risk management, threat detection and cybersecurity leadership—explain what a more unified, real-time approach to visibility, control and resilience should look like.

Beyond Vendor Checklists: A Better Approach to Third-Party Cyber Risk

expert panel

Companies rarely operate wholly within their own digital walls anymore. Critical business functions now depend on cloud platforms, software components, contractors, service providers and sprawling networks of suppliers, with each trusted relationship creating another possible route into an organization. And the risk is growing: Verizon’s 2026 Data Breach Investigations Report found that breaches involving third parties had increased 60% from the previous year’s dataset, accounting for 48% of all breaches analyzed.For attackers, compromising a well-connected partner can be faster and more effective than challenging each target’s defenses directly. A 2025 GitHub Action supply chain compromise demonstrated how a tool embedded in development workflows could expose credentials and other sensitive information across downstream users. Yet many organizations still evaluate cyber risk from outside partners primarily through questionnaires and scheduled reviews—methods that document security practices but often fail to reveal how risks, access or dependencies have changed since the assessment was completed.Reducing third-party cyber risk now requires organizations to look beyond whether a vendor passed an assessment and consider how trusted relationships affect their security and resilience over time. Below, members of the Senior Executive Cybersecurity Think Tank—with expertise in enterprise cybersecurity strategy, data breach prevention and risk management—explain what effective third-party risk reduction looks like today and where (and why) companies must move beyond checklist-driven oversight.

Why AI Is Forcing Security Leaders Beyond Detection and Response

expert panel

Artificial intelligence has fundamentally changed cybersecurity—not just for defenders but also for attackers. AI can now generate convincing phishing campaigns, rapidly mutate malware and automate reconnaissance at a scale that would have required large teams only a few years ago. As attack velocity accelerates, many organizations are discovering that even mature detection and response capabilities struggle to keep pace.That shift is forcing security leaders to rethink longstanding assumptions. Members of the Senior Executive Cybersecurity Think Tank, a community of experienced cybersecurity executives and practitioners, argue that future-ready organizations will succeed not by responding faster, but by preventing more attacks from succeeding in the first place.According to IBM's Cost of a Data Breach Report, organizations that combine AI-driven security with proactive risk reduction significantly reduce both breach costs and response times, reinforcing the business value of moving security "left" before attackers gain a foothold.Below, Think Tank members share practical strategies for moving beyond reactive security, highlighting the technologies, processes and leadership mindset needed to stay ahead of these AI-powered threats.

Company details

Microsoft

Industry

Computer Software

Area of focus

Cyber Security
Security
Cloud Infrastructure

Company size

10,001 plus