Information security continues to be a relentless foot race against cyber criminals. However, the busy CISO has daily worries too – approving and delivering security solutions but, also responding to a myriad of compliance requirements. Most audit reports in modern enterprises run along similar line items which are must-do’s and items that are nice to-do’s. What the audit reports always seem to not understand is the level of effort and time required from the security team to perform the must-do’s. The nice to-do’s almost never get done.
There is one area where CISO’s and their teams can meet security compliance requirements and increase organizational security: vulnerability management, also known as patch management. When the conversation turns to compliance activities, there are two things that are must haves – deploying the patch to the enterprise end-points and reporting on the status of those deployments for security compliance.
The CISO needs the proof the job has been done to appease the auditors and his board members that security compliance is well in hand. The CISO’s team has to test, deploy and remediate machines that did not get patched. It’s not a pleasant or easy task and it takes away from the security team’s constant vigilance and incident response capabilities. It can eat into security project cycles and support to other departments.
Qualasys sponsored a 2016 SANS research paper that suggests that effective cyber defense requires fixing all “critical vulnerabilities in one day, because risk reaches moderate levels at the one-week mark and becomes high when a vulnerability remains in a critical system for a month or longer. Among respondents, 10% reported being able to remediate critical vulnerabilities in 24 hours or less.”
Also Read: Mobile Device Security in the Workplace
The question is of course “is there a solution”? The answer is yes. Vulnerability management of end-points represents a great partnership opportunity with a trusted vendor. If competing priorities and high-value projects are preventing your security team from supporting the business initiatives, than it’s time to consider a provider who can execute the vulnerability management program to maintain compliance and keep the network safe from cyber criminals.
Contact Us Today
For decades, Windows served as the workhorse of the business world. In recent years, however, a significant transformation has occurred with the rise of cloud infrastructure platforms. Enterprises now realize that legacy on-premises Windows workloads are impeding their progress. Core challenges include licensing costs, scalability issues, and reluctance to embrace digital transformation.Explore
Connecting more people to data has become imperative for organizations worldwide. In Top Trends in Data & Analytics for 2022, Gartner stated, “Connections between diverse and distributed data and people create truly impactful insight and innovation. These connections are critical to assisting humans and machines in making quicker, more accurate, trustworthy, and contextualized decisions while considering an increasing number of factors, stakeholders, and data sources.”Explore
Since the dawn of business, users have looked for three main components when it comes to data: Search | Secure| Share. Now let's talk about the evolution of data over the years. It's a story in itself if one pays attention. Back then, applications were created to handle a set of processes/tasks. These processes/tasks, when grouped logically, became a sub-function, a set of sub-functions constituted a function, and a set of functions made up an enterprise. Phase 1 – Data-AwareExplore
Practitioners in the data realm have gone through various acronyms over the years. It all started with "Decision Support Systems" followed by "Data Warehouse", "Data Marts", "Data Lakes", "Data Fabric", and "Data Mesh", amongst storage formats of RDBMS, MPP, Big Data, Blob, Parquet, Iceberg, etc., and data collection, consolidation, and consumption patterns that have evolved with technology.Explore
Enterprises have, over time, invested in a variety of tools, technologies, and methodologies to solve the critical problem of managing enterprise data assets, be it data catalogs, security policies associated with data access, or encryption/decryption of data (in motion and at rest) or identification of PII, PHI, PCI data. As technology has evolved, so have the tools and methodologies to implement the same. However, the issue continues to persist. There are a variety of reasons for the same:Explore
Finding Hidden Patterns and Correlations Innovative technologies such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) are transforming the way we approach data analytics. AI, ML and NLP are categorized under the umbrella term of “cognitive analytics,” which is an approach that leverages human-like computer intelligence to identify hidden patterns and correlations in data.Explore