How to overcome the 5 most common SecOps challenges

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The success of the modern security operations center, despite the infusion of automation, machine learning, and artificial intelligence, remains heavily dependent on people. This is largely due to the vast amounts of data a security operations center must ingest—a product of an ever-expanding attack surface and the borderless enterprise brought on by the rapid rise of cloud adoption.
All those alerts coming in mean proactive and reactive human decision making remains critical.
Perhaps it should come as no surprise that the information security analyst now ranks as No. 1 News’ 100 Best Jobs Rankings, “determined by identifying careers with the largest projected number and percentage of openings through 2030, according to the U.S. Bureau of Labor Statistics.” Security, and specifically detection and response, is not only a business imperative—it is arguably the top worry on the minds of CEOs.
However, the security analyst is also one of the most likely professionals to want to leave their jobs, according to a newly released “Voice of the SOC Analyst” study conducted by Tines.
What gives? Turnover woes are attributable to several key SecOps challenges that never seem to budge.
1) Alert fatigue and false positives: Have you ever received so much spam or junk mail that you end up ignoring your new messages entirely, leading you to miss an important one? The same can happen for alerts. Too much noise is unsustainable and can lead to the real threats being missed, especially as perimeters expand and cloud adoption increases.
2) Disparate tools: Already in the company of too many point-detection tools, security operations professionals are saying hello to a few more in the era of remote work and increased cloud demands. The latest count is north of 75 security tools that need to be managed by the average enterprise.
3) Manual processes: Use case procedures that result in inconsistent, unrepeatable processes can bottleneck response times and frustrate SecOps teams. Not everything in the SOC needs to—or should be—automated, but much can be, which then frees up analysts and engineers to concentrate on higher-order tasks and be able to more easily train new employees.
4) Talent shortage: Death, taxes, and the cybersecurity skills shortage. As sure as the sun will rise tomorrow, so will the need for skilled individuals to wage the cybersecurity fight. But what happens when not enough talent is filling the seats? Teams must compensate to fill the gap.
5) Lack of visibility: Security operations metrics are critical for improving productivity and attracting executive buy-in and support, but SecOps success can be difficult to track, as reports can require a significant amount of work to pull together.
The caveat of course is that it would be rare to find a SecOps team working without the above challenges. As such, some of the immediate steps you can take to push back against these constraints focus on people-powered processes and technologies to remedy the issues.
According to a recent paper co-authored by Google Cloud and Deloitte:
Humans are—and will be—needed to both perform final triage on the most obtuse security signals (similar to conventional SOC Level 3+) and to conduct a form of threat hunting (i.e. looking for what didn’t trigger that alert).
Machines will be needed to deliver better data to humans, both in a more organized form (stories made of alerts) and in improved quality detections using rules and algorithms— all while covering more emerging IT environments.
Both humans and machines will need to work together on mixed manual and automated workflows.
So, what does this ultimately mean you must do to improve your security operations? Here are five practical suggestions:
Detect Threats More Efficiently
Efficiencies within the SOC can be realized from a SIEM solution that automatically detects threats in real-time and at scale. The right platform will support massive data ingestion and storage, relieve traditional cost and scaling limitations, and broaden the lens for anomaly and machine learning/AI-based detection. With data stored and analyzed in one place, security teams can investigate and detect threats more effectively.
Respond to Threats Automatically
SOAR can be a game-changer in terms of caseload reduction and faster (and smarter, especially when integrated with threat intelligence) response times. But before rushing headfirst into automation, you should consider your processes, review outcomes you are trying to achieve (such as reduced MTTD)–and then decide exactly what you want to automate (which can be a lot with SOAR). Once clear processes are determined where automation can contribute, SOC personnel are freed up to be more creative in their work.
Prioritize Logs
Many teams lack a strategy for collecting, analyzing and prioritizing logs, despite the fact that these sources of insight often hold the clues of an ongoing attack. To help, here are two cheat sheets featuring essential logs to monitor.
Outsource What You Can’t Do Yourself
Process improvements may help you compensate for perceived personnel shortages (for example, perhaps fixing a misconfigured monitoring tool will reduce alert noise). Of course, many organizations need additional human hands to help them perform tasks like round-the-clock monitoring and more specialized functions like threat hunting. Here is where a managed security services provider or managed detection provider can be helpful. Be realistic about your budget, however, as you may be able to introduce some solutions in-house.
Institute Career Models
Lack of management support is cited as the fourth-biggest obstacle to a fully functioning SOC model, according to the 2022 SANS Security Operations Center Survey. To overcome this, SecOps leaders must help improve workflow processes, protect innovation, keep teams absorbed in inspiring and impactful work versus mundane tasks, remain flexible with staff, and endorse training and career development. Because at the end of the day, the SOC is still distinctly human–and that is who will be the difference maker between success and failure.
Building Effective Visibility into Technology Assets Used in Healthcare

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When technology just works, it’s easy to trust. But too often, we place our trust in technology that doesn’t deserve it. When we do this with technology to provide healthcare, we put the safety of patients and the security and reliability of our global healthcare system at risk.
The institutions that make up our global healthcare system also place their trust in cybersecurity measures and technology to keep their systems running and repelling the unceasing wave of attacks they face. We often hear about the institutions that succumb to cyberattacks, but we don’t read much about the institutions that have been successful at defending their digital perimeter, and ultimately protected their ability to treat and protect patients.
Why were some institutions successful and others not as much? What cybersecurity capabilities made the healthcare institution resilient from these attacks? As we covered in our previous post on how healthcare can strengthen its cybersecurity resilience, establishing visibility and antifragility practices are necessary to repel attackers and build trust in the security and reliability of the technology our global healthcare system relies on.
As we continue our series on healthcare and cybersecurity, we’ll focus next on establishing sustainable visibility mechanisms so cybersecurity teams working in our global healthcare system can secure and preserve patient care and safety.
Visibility is akin to a patient taking 20 different medications but their doctor only knows about 10 of them. That’s the current state of many healthcare organizations’ relationship to the technology used on their networks and systems: They aren’t always aware of what technology is in use, whether it has vulnerabilities, how serious those vulnerabilities are, or how one weakness could lead to another or cascade out of control.
Visibility maps those technology assets (including the software, hardware, configurations, protections, who built it, and where the component parts come from) and help prioritize the importance of those assets in keeping systems and networks secure, no matter how complex the healthcare organization’s use of technology might be.
Building effective visibility
Building visibility into technology assets requires a structured approach. As mentioned in the first blog in this series, using a guide like the NIST Cybersecurity Framework (CSF) provides an important mental model we can use to get a clear picture of the strengths and weaknesses of an organization’s cybersecurity risk profile, and how it applies to the assets the organization seeks to protect.
Cybersecurity author and leader Sounil Yu’s book Cyber Defense Matrix provides an important interpretation of the NIST CSF framework that can help us better understand what visibility we have into technology assets and how they are protected. Visibility is about more than just seeing all assets we have all at once. It’s also about understanding which assets are mission-critical and must be protected at all costs versus which ones are perhaps important but less crucial overall. Without the right balance, we end up trying to protect everything while not protecting what matters enough. This is where structural awareness comes in.
Structural awareness, or the conscious understanding and state of an organization’s assets, is established as one implements controls captured in the NIST CSF functions Identify and Protect. These controls focus on identifying assets, their bill of materials, their creators, their dependencies on other assets, the protections and vulnerabilities they have, and the threats they face. While visibility helps create an accurate map of technology assets, structural awareness builds on that visibility and answers questions such as, “What are the ways the threat actor could compromise that asset? What could be lost? How would it most likely happen? Would I know?”
Yu says that structural awareness is efficiently achieved with the help of automation, and is not as people-intensive as many practitioners, decision-makers, and executives might think. If a cyberattack is like an explosion, cybersecurity teams’ structural awareness helps them understand how the explosion could happen before (or ‘left of’) it goes ‘boom’.
It’s also important to remember that while structural awareness is related to situational awareness in some ways, they are different concepts. Situational awareness refers to mechanisms that are used to detect and respond to an event. Structural awareness mechanisms are ‘left of boom,’ or mechanisms that protect your assets so that events don’t happen. The goal is to stay ‘left of boom’ and avoid being ‘right of boom’. Being proactive in your protections and being ready to respond in either case is really important, nonetheless.

Thinking about assets in terms of users, devices, networks, applications and workloads and data (asset classes), and adopting mechanisms to discover assets of each type through visibility controls suggested by the NIST CSF, will lead to developing structural awareness. Structural awareness can help avoid the boom, but if the boom does happen, it can also help shape the situational awareness needed to react. The Cyber Defense Matrix is an ongoing project, and you can read more about it (and contribute to it) here.
Framing asset discovery for resilience
Cybersecurity teams must map out their organizations’ most critical healthcare services and systems that support them, but that’s easier said than done. Asset discovery can feel overwhelming. Trying to find, count, and audit the hardware, software, users, and data down to the component across even a small part of one’s technology footprint can feel like pushing a dead car up a steep hill. The way to make this easier is to prioritize this effort in the parts of the business where the impact of a quality or safety issue has the potential to create the most harm to the organization and those who depend on it.
A smart place to begin the process to find and evaluate the measurements that an institution uses to monitor those processes.
Healthcare providers: Start with the quality and safety measurements which must be submitted to various regulatory agencies in order to maintain licenses to operate.
- Health insurers: Look at the performance improvement metrics used to ensure subscriber benefits, quality requirements, and legal mandates are being met.
- Health IT services: Use service level agreements for measuring contract compliance with things like uptime, recovery time and point objectives, and response turnarounds.
- Life sciences organizations: Begin with the relevant Good Practice definitions and the metrics used to monitor quality and safety levels of products and services.
When analyzing the types of technology unique to healthcare – like network-connected medical devices such as infusion pumps, implantable pacemakers, ventilators, EKG equipment, and MRI machines – it’s important to ask what are the immediate safety hazards if there was a cyberattack. Not sure how to answer that question? The International Medical Device Regulators Forum produced a risk categorization model that could be helpful in framing that response. Operational technology, like blood bank and sample refrigerators, climate control, air handling, infection control and pneumatic tube systems, may also be used to identify and prioritize inventory efforts.
Once priorities have been set, teams can begin gathering data on critical services, the owners of those services, the systems those owners rely on, and the technology itself.
Inventory tactics on Google Cloud
Building service-technology mapping is not a one-time exercise. Organizations should take the time to automate inventory creation and maintenance, so they can maintain an up-to-date view of all the items in their environment at any given time. This is especially for organizations that have highly dynamic environments.
Google Cloud provides best practices on discovering and cataloging assets in its Cloud Architecture Center. Implement controls found in the Identity and Protect categories using the NIST Framework & Google Cloud technical paper. Automation is your friend when building and maintaining a complete and accurate inventory. Google Cloud Asset Inventory and Security Command Center can be used to inventory a variety of resources running in Google Cloud. Cloud Build, Google Cloud’s CI/CD platform, implements SLSA 1 and provides a trustworthy audit of software artifacts deployed through a managed pipeline. Cloud DLP inventories and labels data stored on Google Cloud Storage and services like BigQuery.
Meanwhile, a number of Google Cloud Marketplace partners have solutions that can help build a comprehensive inventory, and innovation continues to improve our technological options. One emerging field of security technology, called attack surface management, helps discover previously-unknown assets. Finally, our next blog on resilience discusses how to use a software bill of materials (also known by the breezy acronym SBOM) to gain visibility and structural awareness into applications.
It’s important to remember that when starting down this path, the goal is not to gain 100% visibility into every single component on every single device attached to every network supporting every service running. Success or failure is not achieved when the inventory process has reached an arbitrarily-determined ‘percentage complete.’ We want to prioritize expanding visibility and developing structural awareness on assets where safety and quality are at risk, so we can improve their resilience.
And finally, we feel it’s important to emphasize that in the past, healthcare industries have focused mainly on protecting the confidentiality of data. While that’s important, we must evolve security programs beyond protecting confidentiality as its primary (and some cases, only) focus.
To be resilient, we must design and build cybersecurity capabilities that deliver safety, integrity, and availability of the technology that cares for patients directly. As we gain visibility into the technology we depend on to keep us healthy, we improve our understanding about which parts of it we can trust, and which parts we can’t. Improving visibility is an important early step on our path to resilience.
Fully-managed-zero-trust Security Solution, Traffic Director Integrated with CA Service

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We created Traffic Director to bring to you a fully managed service mesh product that includes load balancing, traffic management and service discovery. And now, we’re happy to announce the availability of a fully-managed zero-trust security solution using Traffic Director with Google Kubernetes Engine (GKE) and Certificate Authority (CA) Service.
When platform administrators and security professionals think about modernizing their applications with a forward-looking security posture, they look for “zero-trust” security. This security posture is based on few fundamental blocks:
- A means of allocating and asserting service identity (for example, using X.509 certificates)
- Mutual authentication (mTLS) or server authentication (TLS)
- Encryption for all traffic flows (TLS encryption)
- Authorization checks and minimal privileges
- Infrastructure to make all of the above manageable and reliable
Traffic Director does this by integrating with CA Service, a highly available private CA which issues private certificates expressing service identities, and provides a managed mTLS certificate infrastructure with full certificate lifecycle management. Together, these solve both certificate issuance and CA rotation complexities.
With Traffic Director managing your service-to-service security, you can now enjoy end-to-end encryption, service-level authentication and granular authorization policies for your service mesh.

With this new capability, you can now:
- Implement mutual TLS (mTLS) and TLS between your services, including certificate lifecycle management. Communications within your mesh are authenticated and encrypted.
- Enable identity-based authorization, as well as authorization based on other parameters (such as the request method). These concepts underpin role-based access controls (RBAC) and enable you to take a “least privileges” stance where only authorized services can communicate with each other based on ALLOW/DENY rules.
mTLS is supported whether you’re using Envoy or proxyless gRPC for your service mesh. Authorization support for proxyless gRPC is coming later this year. Check out our documentation to learn more and get started with Envoy or proxyless gRPC.
Register to Watch July’s Security Summit

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Together we can solve for the future of cloud security. Join us to learn how you can stay ahead of the next generation of threats with Google Cloud – whether you need to keep your organization secure in the cloud, on-premises, or in a hybrid environment. Get fresh insights from industry leaders and engage in interactive sessions that can help you solve your most critical security challenges.
Our digital event has ended, but you can still explore our sessions on demand.
The Security Summit is part of our digital Google Cloud Summit series. Check out the other events in the series to explore Google Cloud technology applications in various industries and dive into our latest digital innovations.Original air date:20 July 2021 21:30 Register to watch on demand.
Partnering for Stronger Security: Google and Mandiant Join Forces

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Over the past two decades, Google has innovated to build some of the largest and most secure computing systems in the world. This scale requires us to deliver pioneering approaches to cloud security, which we pass on to our Google Cloud customers. We are committed to solving hard security problems like only Google can, as the tip of the spear of innovation and threat intelligence.
Today we’re excited to share the next step in this journey with the completion of our acquisition of Mandiant, a leader in dynamic cyber defense, threat intelligence and incident response services. Mandiant shares our cybersecurity vision and will join Google Cloud to help organizations improve their threat, incident and exposure management.
Combining Google Cloud’s existing security portfolio with Mandiant’s leading cyber threat intelligence will allow us to deliver a security operations suite to help enterprises globally stay protected at every stage of the security lifecycle. With the scale of Google’s data processing, novel analytics approaches with AI and machine learning, and a focus on eliminating entire classes of threats, Google Cloud and Mandiant will help organizations reinvent security to meet the requirements of our rapidly changing world.
We will retain the Mandiant brand and continue Mandiant’s mission to make every organization secure from cyber threats and confident in their readiness.

Context and threat intelligence from the frontlines
Our goal is to democratize security operations with access to the best threat intelligence and built-in threat detections and responses. Ultimately, we hope to shift the industry to a more proactive approach focused on modernizing Security Operations workflows, personnel, and underlying technologies to achieve an autonomic state of existence – where threat management functions can scale as customers’ needs change and as threats evolve.
Today Google Cloud security customers use our cloud infrastructure to ingest, analyze and retain all their security telemetry across multicloud and on-premise environments. By leveraging our sub-second search across petabytes of information combined with security orchestration, automation and response capabilities, our customers can spend more time defending their organizations.
The addition of Mandiant Threat Intelligence—which is compiled by their team of security and intelligence individuals spread across 22 countries, who serve customers located in 80 countries—will give security practitioners greater visibility and expertise from the frontlines. Mandiant’s experience detecting and responding to sophisticated cyber threat actors will offer Google Cloud customers actionable insights into the threats that matter to their businesses right now. We will continue to share groundbreaking Mandiant threat research to help support organizations, even for those who don’t run on Google Cloud.

Advancing shared fate for security operations
Google Cloud operates in a shared fate model, taking an active stake in the security posture of our customers. For security operations that means helping organizations find and validate potential security issues before they become an incident.
Detecting, investigating and responding to threats is only part of better cyber risk management. It’s also crucial to understand what an organization looks like from an attacker’s perspective and if an organization’s cybersecurity controls are as effective as expected.
By adding Mandiant’s attack surface management capabilities to Google Cloud’s portfolio, organizations will be able to continually monitor assets for exposures, enabling intelligence and red teams to move security programs from reactive to proactive to understand what’s vulnerable, misconfigured and exposed.
Once an organization’s attack surface is understood, validating existing security controls is critical. With Mandiant Security Validation, organizations will be able to continuously validate and measure the effectiveness of their cybersecurity controls across cloud and on-premise environments.

Transforming security operations and incident response
Security leaders and their teams often lack the resources and expertise required to keep pace with today’s ever changing threats. Organizations already harness Google’s security tools, expert advice and rich partner ecosystem to evolve their security program. Google’s Autonomic Security Operations also serves as a prescriptive solution to guide our customers through this modernization journey.
With the addition of Mandiant to the Google Cloud family, we can now offer proven global expertise in comprehensive incident response, strategic readiness and technical assurance to help organizations mitigate threats and reduce business risk before, during and after an incident.
In addition, Google Cloud’s security operations suite will continue to provide a central point of intelligence, analysis and operations across on-premise environments, Google Cloud and other cloud providers. Google Cloud is also deeply committed to supporting our technology and solution partners, and this acquisition will enable system integrators, resellers and managed security service providers to offer broader solutions to customers.
Comments on the news
“The power of stronger partnerships across the cybersecurity ecosystem is critical to driving value for clients and protecting industries around the globe. The combination of Google Cloud and Mandiant and their commitment to multicloud will further support increased collaboration, driving innovation across the cybersecurity industry and augmenting threat research capabilities. We look forward to working with them on this mission.” – Paolo Dal Cin, Global Lead, Accenture Security
“Google’s acquisition of Mandiant, a leader in security advisory, consulting and incident response services will allow Google Cloud to deliver an end-to-end security operations suite with even greater capabilities and services to support customers in their security transformation across cloud and on-premise environments.” – Craig Robinson, Research VP, Security Services, IDC
“Bringing together Mandiant and Google Cloud, two long-time cybersecurity leaders, will advance how companies identify and defend against threats. We look forward to the impact of this acquisition, both for the security industry and the protection of our customers.” – Andy Schworer, Director, Cyber Defense Engineering, Uber
We welcome Mandiant to the Google Cloud team, and together we look forward to helping security teams achieve so much more in defense of their organizations. You can read our release and Kevin Mandia’s blog for more on this exciting news.
Data Security Excellence: Google Takes the Lead in Forrester’s Wave Report

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To help organizations confidently move their sensitive data to the cloud, Google Cloud works diligently to earn and maintain customer trust. Our Trusted Cloud is committed to giving you a secure foundation that you can verify and independently control. Discovery and protection of sensitive data are integral parts of Google Cloud’s strategy to safeguard customer data. With this as our longstanding approach to protecting customers, we are happy to share that Forrester Research has ranked Google Cloud a Leader in The Forrester Wave™ Data Security Platforms Q1 2023.
Relentless security innovation leveraging Google’s core strengths
Google keeps more people safe online than anyone else. The scale at which we operate allows us to pioneer approaches to cloud-native security and then bring them to commercial and public sector organizations everywhere they operate. Leveraging our data processing and novel analytics capabilities with artificial intelligence and machine learning (AI/ML) allows our technology to help protect enterprises and their end users. At the core of our data security capabilities is our data loss prevention (DLP) technology, which enables customers to discover, classify, and de-identify data in real-time, on-demand, continuously, and in event-driven workloads.

In their explanation for the ranking, Forrester noted in its report “Cloud-first, Google has notable areas of innovation focus, such as harnessing machine learning (ML) and artificial intelligence (AI), productizing internal innovations, and co-innovation with partners in areas like confidential computing, data sovereignty controls, and external cloud key management services.”
Embedded across multiple Google products
Our platform supports the discovery of corporate assets in Chrome Enterprise and Google Workspace applications including Gmail and Google Drive. We also provide support for discovering production and analytical assets such as object storage, relational databases, data warehouses, data lakes, production apps, and workloads such as migration/ETL. This technology identifies and detects various types of sensitive data using a comprehensive set of built-in infoType detectors that are ready to use out-of-the-box along with flexible custom detection options and rules. Types of sensitive data include personal identifiable information and personal health information (PII/PHI), financial identifiers, health context, multi-cloud credentials/secrets, and ML-based full document classification (including source code, SEC filings, and legal briefings).
Driven by Zero Trust principles
The Forrester Wave identified the 14 top significant data security platform providers. Forrester notes in the report that “[Google] also stands out for manageability and integrations for Zero Trust.” and “Google is a strong choice for organizations considering or currently using GCP as well as those using Google Workspace who are taking a Zero Trust approach to enabling bring your own device (BYOD) and remote work.”
Delivering value for our customers
We are honored to be a Leader in The Forrester Wave™: Data Security Platforms, Q1 2023 report. We look forward to continuing to innovate with you and make your digital transformation journey safer with our Trusted Cloud.
A copy of the full report can be viewed here.
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