As organizations enhance their use of cloud assets, they’re realizing that legacy safety instruments are failing to successfully safe hybrid cloud environments.
One main answer is synthetic intelligence (AI) safety graphs — an idea that permits higher safety outcomes. AI safety graphs can assist zero in on the safety points that span cloud and premises-based assets.
Distributed workflows create safety challenges
IT infrastructure is turning into extra complicated and distributed. Most organizations are actually using a number of cloud suppliers, together with their on-premises infrastructure.
Usually, a single workload might include a product database, an utility server, delicate buyer information that stays on-prem, and quite a few APIs connecting all of it. Legacy safety instruments weren’t constructed with that form of distributed surroundings in thoughts.
For instance, community detection and response (NDR) instruments typically miss the visitors flowing between assets in the identical cloud or throughout clouds, as a result of that east-west visitors by no means passes by way of the normal perimeters, similar to firewalls or gateways, or the information middle, which NDR options monitor.
NDR instruments additionally come up quick in a number of areas similar to working with the cloud’s proprietary protocols and scalability. Corporations may additionally run into information residency compliance points in the event that they switch information out of their varied cloud environments for centralized evaluation.
Too many blind spots and alerts, too little context
Cloud-native utility safety platforms (CNAPPs) might look like an answer, however additionally they have limitations. CNAPPs are meant solely for cloud environments, in order that they should be built-in with different instruments to offer on-prem safety, making it troublesome to get the whole image. This leads to blind spots, complicated integrations, and challenges in prioritizing danger throughout a wide range of assets.
Regardless of their shortcomings, NDR and CNAPP instruments are good at one factor: producing alerts. However usually, there are far too many alerts, which creates alert fatigue and leads to little actionable intelligence.
Jon Oltsik, analyst in residence at SiliconANGLE and theCUBE, is quoted in Forbes.com as saying that the scenario is inflicting two huge issues: “One is there isn’t real-time visibility throughout all related belongings and parts. The opposite problem is the dearth of context, similar to an asset’s location, vulnerability, enterprise worth, and many others.”[1]
The answer: AI safety graphs
AI safety graphs provide an vital repair. They supply conceptual maps so organizations can perceive the relationships between the totally different assets of their surroundings — even people who span a number of clouds and on-prem infrastructure.
And the maps make it far easier to grasp what safety controls are wanted throughout the surroundings, so you may align coverage with transaction flows and cease threats similar to escalation of privileges and lateral motion.
Safety insurance policies that assist Zero Belief rules can be certain that solely permitted transaction flows can happen.
Illumio simplifies and strengthens safety
The Illumio Platform simplifies safety by utilizing AI safety graphs and Zero Belief rules to dramatically strengthen safety throughout hybrid cloud environments.
Illumio Insights, an AI-powered cloud detection and response (CDR) answer, helps organizations shortly spot dangers and instantly quarantine threats with a single click on. Illumio Segmentation applies the rules of Zero Belief to include breaches, cease the lateral motion of threats throughout your surroundings, and safeguard vital belongings.
Collectively, Illumio Insights and Segmentation present a decisive leap towards true cyberresilience.
Find out how Illumio Insights offers you visibility and management throughout your hybrid cloud surroundings — so you may shortly determine and include threats and shield your vital belongings.
[1] “Rethinking Risk Detection In A Decentralized World,” April 14, 2025, Forbes.com.
