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Understanding and Selecting RASP 2019: Use Cases

Updated 9-13 to include business requirements The primary function of RASP is to protect web applications against known and emerging threats. In some cases it is deployed to block attacks at the application layer, before vulnerabilities can be exploited, but in many cases RASP tools process a request until it detects an attack and then blocks the action. Astute readers will notice that these are basically the classic use cases for Intrusion Detection Systems (IDS) and Web Application Firewalls (WAFs). So why look for something new, if other tools in the market already provide the same application security benefits? The answer is not in what RASP does, but rather in how it does works, which makes it more effective in a wide range of scenarios. Let’s delve into detail about what clients are asking for, so we can bring this into focus. Primary Market Drivers RASP is a relatively new technology, so current market drivers are tightly focused on addressing the security needs of two distinct “buying centers” which have been largely unaddressed by existing security applications. We discovered this important change since our last report in 2017 through hundreds of conversations with buyers, who expressed remarkably consistent requirements. The two “buying centers” are security and application development teams. Security teams are looking for a reliable WAF replacement without burdensome management requirements, and development teams ask for a security technology to protect applications within the framework of existing development processes. The security team requirement is controversial, so let’s start with some background on WAF functions and usability. It’s is essential to understand the problems driving firms toward RASP. Web Application Firewalls typically employ two methods of threat detection; blacklisting and whitelisting. Blacklisting is detection – and often blocking – of known attack patterns spotted within incoming application requests. SQL injection is a prime example. Blacklisting is useful for screening out many basic attacks against applications, but new attack variations keep showing up, so blacklists cannot stay current, and attackers keep finding ways to bypass them. SQL injection and its many variants is the best illustration. But whitelisting is where WAFs provide their real value. A whitelist is created by watching and learning acceptable application behaviors, recording legitimate behaviors over time, and preventing any requests which do not match the approved behavior list. This approach offers substantial advantages over blacklisting: the list is specific to the application monitored, which makes it feasible to enumerate good functions – instead of trying to catalog every possible malicious request – and therefore easier (and faster) to spot undesirable behavior. Unfortunately, developers complain that in the normal course of application deployment, a WAF can never complete whitelist creation – ‘learning’ – before the next version of the application is ready for deployment. The argument is that WAFs are inherently too slow to keep up with modern software development, so they devolve to blacklist enforcement. Developers and IT teams alike complain that WAF is not fully API-enabled, and that setup requires major manual effort. Security teams complain they need full-time personnel to manage and tweak rules. And both groups complain that, when they try to deploy into Infrastructure as a Service (IaaS) public clouds, the lack of API support is a deal-breaker. Customers also complain of deficient vendor support beyond basic “virtual appliance” scenarios – including a lack of support for cloud-native constructs like application auto-scaling, ephemeral application stacks, templating, and scripting/deployment support for the cloud. As application teams become more agile, and as firms expand their cloud footprint, traditional WAF becomes less useful. To be clear, WAF can provide real value – especially commercial WAF “Security as a Service” offerings, which focus on blacklisting and some additional protections like DDoS mitigation. These are commonly run in the cloud as a proxy service, often filtering requests “in the cloud” before they pass into your application and/or RASP solution. But they are limited to a ‘Half-a-WAF’ role – without the sophistication or integration to leverage whitelisting. Traditional WAF platforms continue to work for on-premise applications with slower deployment, where the WAF has time to build and leverage a whitelist. So existing WAF is largely not being “ripped and replaced”, but it is largely unused in the cloud and by more agile development teams. So security teams are looking for an effective application security tool to replace WAF, which is easier to manage. They need to cover application defects and technical debt – not every defect can be fixed in a timely fashion in code. Developer requirements are more nuanced: they cite the same end goal, but tend to ask which solutions can be fully embedded into existing application build and certification processes. To work with development pipelines, security tools need to go the extra mile, protecting against attacks and accommodating the disruption underway in the developer community. A solution must be as agile as application development, which often starts with compatible automation capabilities. It needs to scale with the application, typically by being bundled with the application stack at build time. It should ‘understand’ the application and tailor its protection to the application runtime. A security tool should not require that developers be security experts. Development teams working to “shift left” to get security metrics and instrumentation earlier in their process want tools which work in pre-production, as well as production. RASP offers a distinct blend of capabilities and usability options which make it a good fit for these use cases. This is why, over the last three years, we have been fielding several calls each week to discuss it. Functional Requirements The market drivers mentioned above change traditional functional requirements – the features buyers are looking for. Effectiveness: This seems like an odd buyer requirement. Why buy a product which does not actually work? The short answer is ‘false positives’ that waste time and effort. The longer answer is many security tools don’t work well, produce too many false positives to be usable, or require so much maintenance that building your bespoke seems like a better

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