Enhancing Email Security: The Role of Unified Observability in Microsoft 365
- by MaKenna Hensley

With so many businesses relying on large and complex IT infrastructures to function, it's not surprising that protecting these systems is of the utmost importance. However, since these large infrastructure systems can be formed of many hundreds of separate components, users, and software, protecting them from cyber attacks can be tricky.
In fact, this is why many companies with Microsoft 365 e-mail security services actually integrate cloud e-mail security into their infrastructure. While Microsoft 365 does offer basic security, that may not be enough for the ever-evolving complexity of cyber threats in need of more sophisticated solutions, like Unified Observability.
This acts as the first line of defense against malicious malware attacks, protecting both the individual user and the wider system. But for larger businesses, sometimes, this isn’t enough. This is where Unified Observability steps in—a tool that enables data from all corners of the IT infrastructure to be gathered in one place to greatly increase issue response times and the safety of the business.
What is Unified Observability?
Unified Observability is a tool that helps in aggregating, monitoring, and responding to IT issues and threats across a large system. It ensures a more resilient and responsive IT infrastructure by addressing challenges such as phishing and system downtime. Developed by integrating AI in communication industry settings, Unified Observability integrates machine learning and automation so that it can respond to threats to any part of the observed system both quickly and decisively. System data is also collated to a central location, meaning that your IT managers have essential insights at their fingertips.
What are the benefits of Unified Observability in IT Security?
The benefits of Unified Observation are manifold. First, the utilization of AI in Unified observation greatly increases reaction times. AI can react to threats around the clock and has a far quicker reaction time than a human. This makes security systems more robust, and businesses can eliminate human fallibility from portions of the IT security equation.
Secondly, the way that Unified Observability gathers data in one place makes it much easier for IT managers to figure out what's wrong. By putting all the data in one place, IT administrators can access all the data they need from a single system. Gone are the days when they had to dig through multiple tools and data pools to find problems that affected the whole IT infrastructure. This lowers the amount of time that the system could be down because of a problem, which makes the system more reliable overall.
Finally, Unified Observability takes advantage of AI, machine learning, and automation to optimize the system as a whole. It also uses centralized data pools to predict issues and allocate extra resources in real-time. Due to the centralized data pool, Unified Observability also helps IT managers perform their own optimizations and improvements better. This means that businesses know exactly how to improve their system hardware to get the most out of their IT infrastructure, increasing adherence to email security and best safety practices.
What are Some Common Email Security Challenges?
You may be wondering how common email security issues are and why it's so important to ensure that your business has great email security. In truth, email security issues are extremely widespread, with 94% of organizations globally experiencing email security incidents between 2022 and 2023.
Some of the issues faced are phishing attacks (fake emails that are designed to trick users into revealing compromising information), malware, ransomware, spoofing (an alteration of elements of the email to make it appear to be sent from a legitimate source), data exfiltration and spam.
Unified Observability helps mitigate these issues, chiefly through the use of AI. Tools such as Natural Language Processing (NLP) can help filter spam, keeping resources optimized. AI's incredible reaction times mean that suspicious emails can be isolated, targeted, and neutralized quickly and effectively. AI is extremely effective at this task because many malicious emails seek to exploit human fallibility (notably phishing and spoofing)—something that AI helps to reduce by recognizing more advanced techniques like conversational AI.
But what is conversational AI? Conversational AI is a tool used to mimic natural conversations. Whilst this has many legitimate uses, malicious actors could use it to generate large-scale phishing attacks, which Unified Observability will help to recognize.
Microsoft 365 Email Security Limitations and Cloud Solutions
While Microsoft 365 does include several native email security features, such as email encryption, anti-phishing, anti-spam, and anti-malware capabilities, the service has some grave limitations that simply do not meet the security standards required by most businesses. These limitations underline the difference between simple security features and sophisticated solutions needed to cope with emerging cyber threats.
Microsoft 365’s security features can prove unreliable, with an average miss rate of 47% for email attacks. This means that systems that only employ native Microsoft 365 security features have serious vulnerabilities, especially when advanced email attacks are considered.
Cloud email security services can mitigate this risk by providing advanced threat protection, improved filtering capabilities, and enhanced threat intelligence. Furthermore, machine learning algorithms enable cloud email security services to analyze and react to potentially malicious emails while sandboxing isolates potential threats and investigates them in a safe environment.
These features can work in tandem, so sandboxed threats can provide insight that machine learning tools can use to protect the system and mitigate cloud email security risks with advanced protection.
What is the Role of AI in Enhancing Visibility and Threat Response?
AI provides revolutionary new tools for email security that greatly enhance threat detection and response. AI reacts to threats far more quickly than a human counterpart ever would, vastly improving system visibility and providing real-time threat detection and automated remediation to boost Microsoft 365 email security services.
Enhanced visibility is crucial because it can help businesses quickly identify security breaches, enabling both IT managers and AI tools to intervene and protect your IT infrastructure. Enhanced visibility works by collating the running data and performance statistics of all of the constituent parts of a given IT infrastructure (computer processing units, server space, hard drives, software, etc.) so that it can react to any potential performance problems that occur.
These performance issues could indicate that the security system has been breached. AI is trained to notice these issues and respond to them.
What are some Practical Strategies for Implementing Cloud Email Security?
Now that the benefits of cloud email security are clear, we can turn our attention to how to implement them within your IT infrastructure best. To implement your cloud email security system properly, you’ll need to familiarize yourself with several key concepts.
- Data Protection: Sensitive data about customers, employees, and the business should be kept in a secure cloud location. This data should be encrypted and secured with strict access controls to prevent unauthorized access. Additionally, it is essential to implement policies for data recovery. Having a backup plan in place should your system be breached or data erased is critical for safety.
- Detection and Response: We have already covered this concept in detail. It includes the Unified Observability and AI-powered threat response capabilities discussed earlier. These tools are vital for identifying and addressing threats before they escalate.
- Cloud Infrastructure Protection: This often involves using a series of firewalls to separate various infrastructure sections. The goal is to prevent malicious attacks from spreading across the cloud environment. This approach is similar to the steel separations in ships, designed to contain fires in a single section. Unified Observability plays a key role here, monitoring the system and highlighting potential issues.
- Identity and Access Management: This policy determines who has access to sensitive data, improving security by limiting system visibility to only those who need it. By restricting access, you reduce the risk of data breaches.
Since human error accounts for many malicious breaches, identity and access management are crucial for protecting the business. Reducing the number of users with access minimizes the chances of accidental exposure to malicious software or phishing attacks. It’s equally important that users with access are educated on exchange email security risks and mitigation strategies to maintain the integrity of your IT infrastructure.
Future Trends in AI and Unified Observability
With ever-developing malicious attacks and phishing strategies, the future of AI and Unified Observation is bright; this is just needed. As these go on, they mark the face of IT security. Businesses have to stay proactive in adopting advanced solutions that will help them stay ahead of emerging threats. As NLPs and other machine learning techniques develop, AI will undoubtedly become increasingly sophisticated in identifying and isolating phishing and spoofing attacks, better protecting users from advanced attacks.
The scaling of threat detection will surely be required to increase as time passes due to AI's advances in detecting malicious users looking to exploit systems. AI-generated phishing attack campaigns have already started to appear, so IT infrastructures will need to master their response to these. Developments in AI should provide ever more sophisticated means of mitigating human error, the biggest email security risk.
Developments in AI and Unified Observability should also include many ease-of-use and user-oriented features to enable business owners and IT managers to adapt more quickly to cloud security services. This should mean that many more businesses will be able to adopt these measures, increasing the average level of IT security globally. The expansion of the AI sector should also drive competition, which, in turn, will hopefully reduce the cost of AI security solutions, further aiding their adoption globally.
The benefits of further integrating AI into IT infrastructures and security systems are clear. AI greatly increases the sophistication and rapidity of responses to malicious attacks, providing a far greater level of protection—a level that should increase over time as AI models analyze data and adapt to the threats they face.
Final Thoughts
In conclusion, Unified Observation and cloud security solutions provide many advantages to businesses seeking to secure their IT infrastructure. Unified Observation ensures rapid and decisive responses to attacks, enabling business owners to feel comfortable that they are doing everything they can to reduce the risk of breaches.
Furthermore, cloud email security services mitigate the security issues associated with Microsoft 365 email security services' native data protection. This means that businesses can maintain a functional and familiar email communication system while protecting themselves and their employees from cyber attacks. Features such as sandboxing, machine learning, and automated threat response ensure that users can feel safe using the email software they love and trust.
The future of Unified Observability and cloud security solutions is bright, and new techniques and strategies are being developed. By integrating AI into IT infrastructures, businesses can gain more control, better visibility, faster threat response times, and more sophisticated threat detection tools—a great addition to any IT infrastructure.
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