As we are preparing to bid adieu to 2019, let us see how our prediction at the beginning of the year got proved to be accurate. In one of our blogs, we discussed that managing data in shared and distributed environment, migrating data to the cloud environment, hosting data in MSP environment and compliance with regulatory standards would demand robust Privileged Access Management (PAM). Several incidents round the year showed how organizations still lack a stringent cyber security policy and safeguards to mitigate data breach threat. These incidents re-emphasize why today’s enterprises require a PAM to mitigate risks arising from malicious insiders or external malefactors.
Probably there are more number of digital identities today than the human population on this planet. Indeed, digital identities have spiralled as our modern day economy is propelled by cloud computing, artificial intelligence, and big data analytics among several other disruptive technology innovations.
Privileged Access Management (PAM) has become an integral part of overall cyber security framework for any modern-day organization. As privileged accounts provide access to confidential information, securing them from any untoward incident (abuse of privileged credentials or accounts) remains one of the major concerns for the Security and Risk management pros.
Privileged Access Management (PAM) is one of the most discussed area of today’s cyber security arena. With the increased number of alarming data breach scenarios worldwide, it is very obvious that PAM solution would shield the organizations from any threats arising from unmonitored accounts or poor access control system. Here is a brief account of few practices that could enrich Privileged Access Management (PAM) to the next best level of robustness.
With Facebook admitting recently that the data available online of its 2 billion users are mostly vulnerable, recent reports affirmed that a quarter of a billion accounts were compromised. Later on, Facebook CEO Mark Zuckerberg made history by testifying before the US Congress about the data leakage. People realizing the importance of data safety reaches a different level thereafter.
Enterprises are allotting more budgets on emerging technologies that are proactive in detecting current and emerging threats. For 2018-19, the CISOs, CTOs and CIOs are eyeing on tools that use machine learning algorithms to secure companies’ digital assets, enterprise network and privilege accounts.
The expenditure on cyber security has seen a significant rise in the recent past especially after Facebook data breach, Uber data theft or even Bangladesh bank heist incidents. The digital threats are omnipresent, where the perpetrators siphon off digital money and crucial data in a day or may be for months. Worried CIOs are imploring the management to let them invest in cutting-edge technologies that can protect the privileged accounts and thwart threats.
Proactive protection is the safest way out
In one of my previous roles as a test analyst, I was primarily responsible for constructing test cases for password management. At the time, I had devised a whole array of possible test cases for password management which included specifications on the length of the password, complexity of the password, frequency for changing password and so on. However a thought struck me. This tedious manual procedure of password management by the administrator or super-user was done to ensure security but where is the security after all? How many permutations and combinations can a human come up with to ensure these passwords are managed and maintained to comply with regulatory standards? But today working in this cyber security space, I can confidently say that you just have to go knocking on the right door to eliminate this monotonous process and get automated password management solutions that is regulatory compliant and at the same time safe, effective and productive.