The National Industrial Security Program (NISP), the authority within the United States for access to classified data by government contractors. Have outlined requirements to ensure continued availability and integrity of classified data, and prevent its unauthorised disclosure. The operating manual (NISPOM) affects all government agencies and commercial contractors who have access to classified data.
A few years back, data was constrained to the on-premise infrastructure. Data management, governance, and protection were fairly uncomplicated in this enclosed environment. The emergence of cloud computing and multi-cloud infrastructures has not only introduced more complexity in data management and governance, but it has also increased security risks significantly.
The Fintech industry deals with financial and personal data of customers on a massive scale. From credit card transactions to identity verification details, companies collect and process huge amounts of sensitive data, making them an attractive target for cybercriminals. To ensure the highest standards of data protection and risk management, constant monitoring and analysis of security data is crucial.
Nightfall’s recent “State of Secrets” report uncovered that collaboration, communication, and IT service tools have the highest risk of data exposure, particularly in industry-leading SaaS apps like Slack and GitHub. This trend highlights an incredibly pervasive (yet often overlooked) risk in cloud cybersecurity: Data sprawl.
As business operations evolve, the challenge of securely moving data within the cloud is one of elevated concern. Transferring sensitive information to it is another. Many are caught between what worked in on-prem technologies and what is needed in cloud-based architectures. Others have sidestepped the security challenges by implementing a Managed File Transfer (MFT) solution.
The most famous data breaches–the ones that keep security practitioners up at night–involved the leak of millions of user records. Companies have lost names, addresses, email addresses, Social Security numbers, passwords, and a wealth of other sensitive information. Protecting this data is the highest priority of most security teams, yet many teams still struggle to actually detect these leaks.
While Gen AI tools are useful conduits for creativity, security teams know that they’re not without risk. At worst, employees will leak sensitive company data in prompts to chatbots like ChatGPT. At best, attack surfaces will expand, requiring more security resources in a time when businesses are already looking to consolidate. How are security teams planning to tackle the daunting workload? According to a recent Morgan Stanley report, top CIOs and CISOs are also turning to AI.
A strong misconception abounds that managed providers are impervious to data loss. The truth, however, is that accidents can happen at any time, to any business. Finding a provider that takes data backup and protection seriously, therefore, is critical to the well-being of your business. Opti9—a leading provider of managed cloud solutions—is one company that is addressing this problem head-on.