Push Technology announced the launch of a new Kafka Adapter for their Diffusion Intelligent Data Mesh.
Just-in-time (JIT) compilers have had their fair share of bug-fighting experience. Before movies like Wargames and Hackers inspired the first generation of breakers, most users were concerned with the speed, or lack thereof, of their programs. The compiler community responded with JIT compilers to accelerate application performance.
Then in the mid 90s, memory management bugs were the plague of the programming industry. Again, the runtime/compiler community realized they could solve this problem with automatic memory management inside the JIT compiler.
Security Bugs: An Evolving Threat
Today, performance bugs and memory bugs are the least of the worries facing the developer community. Instead, a new crisis has surfaced: security bugs. Security bugs are so much more concerning than the other bugs because security bugs will get you "pwned!"
To tackle this, there has been a deluge of scanning and filtering tools developed for programmers to find code flaws. DevOps tools like static, dynamic and interactive application security testing (SAST, DAST, IAST), and runtime application self-protection (RASP), or network tools like intrusion detection or prevention systems (IDS, IPS), and unified threat management (UTM), all find or filter vulnerabilities but do nothing to fix the underlying vulnerable code. For that, there are only two ways that buggy code can be modified and fixed: with a human programmer or a JIT compiler.
New Roles for JIT Compilers
State-of-the-art JIT compilers today are constantly looking for ways to optimize executing code by learning and analyzing everything about an application's code. This deep application code intelligence, which was so effectively applied to performance bugs and memory management bugs in the past, is now being applied to discover and remediate security bugs.
In this security context, the JIT compiler leverages existing analysis of application code to additionally analyze for security vulnerabilities. When it finds one, it's a seamless step to fix it: The JIT compiler simply rewrites the vulnerable code with the necessary security controls to fix the underlying vulnerability.
Benefits of JIT Compilers
Since this analysis and change is done in the runtime, the JIT compiler also adds a layer of security without having to modify any source code.
The benefits of this can be liberating for DevOps teams that face disruption to existing projects every time a new vulnerability is exposed. Given that more than 22,000 vulnerabilities were discovered in 2018, this ability to protect applications without requiring programmer resources allows development teams to apply fixes during periods where they will have the least impact on the business.
Further, for many organizations that have legacy code, they may no longer be able to access the source code for fear that any modifications could prove catastrophic to the application. For security remediation, the JIT compiler can be used to remediate vulnerabilities in the byte code — not the source code — reducing or eliminating the risks that often lead to broken applications.
The threat that security bugs pose to businesses keeps many a DevOps team up at night. But to JIT compilers, this isn't their first rodeo. In fact, it's just another case of déjà vu.