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Articles by Sanjay Nagaraj
Predicting cellular responses to perturbation across diverse contexts with State
Keywords machine learning artificial intelligence transcriptomics single-cell RNA sequencing cell biology perturbation gene expression gene regulation systems biology Introduction Accurately predicting the impact of cellular perturbations at scale has the potential to reshape targeted therapies.
Harness and Traceable Merge to Advance DevSecOps Integration
7 minutes ago bankinfosecurity Merger Combines Application Protection and DevOps to Secure Software at Scale Michael Novinson (MichaelNovinson) • February 10, 2025 Jyoti Bansal will combine the software delivery and API security companies he established to create a more seamless DevSecOps experience for developer and security personas. See Also: Gartner Report | Break Free From Security Complexity. Platformization Delivers Simplicity.
Software Composition Analysis (SCA) Archives
Understanding Application Detection and Response (ADR) | Contrast Security | | ADR, API security, Application Detection and Response (ADR), Application Security (AppSec), Cybersecurity, Data breach, DevSecOps, Incident Response, Runtime Application Security Protection (RASP), Security Operations Center (SOC), Software Composition Analysis (SCA), Threat Detection and Response, vulnerability, Web Application Firewall (WAF), zero-days The Application Security (AppSec) landscape is changing fast.
The Benefits of eBPF for API Security
By Sanjay Nagaraj, Co-Founder & CTO of Traceable AI You might hear the term “eBPF” mentioned when chatting to DevOps and DevSecOps folks about network, infrastructure or security management. eBPF (extended Berkeley Packet Filter) is based on a Linux kernel technology and opens the possibilities of monitoring and other capabilities to be done on top of the operating systems used mostly for the cloud.
Council Post: Like Covid-19, Log4Shell Reveals Weaknesses In Our Defenses
Sanjay Nagaraj is Co-Founder and CTO of API security company Traceable. getty Discovered in December 2021, the Log4Shell vulnerability has affected hundreds of millions of digital devices and will likely continue to command the attention of IT security forces for the foreseeable future. In its reach and damage, Log4Shell—or Log4j, as it is also called—is the digital equivalent of the seemingly never-ending coronavirus.
Protecting APIs From Today's (And Tomorrow's) Attacks
Observability, AI And Context: Protecting APIs From Today's (And Tomorrow's) Attacks By Sanjay Nagaraj In today's world, application programming interfaces (APIs) - the connective communication tissue between applications - are everywhere.
Council Post: Observability, AI And Context: Protecting APIs From Today's (And Tomorrow's) Attacks
Sanjay Nagaraj is Co-Founder and CTO of API security company Traceable. Getty In today's world, application programming interfaces (APIs) — the connective communication tissue between applications — are everywhere.
AppSec and Software Community Respond to Log4j
AppSec and Software Community Respond to Log4j The application security and the open source software communities rose to the challenge of the Java Log4j vulnerability, patching software, sharing information and providing mitigations and tools. We aren't out of the woods yet, but their actions so far have been inspiring. What Happened? The new Log4j vulnerability, dubbed Log4Shell, has put the world on red alert.
Instant Log4j protection. Shield and hunt with Traceable AI
Instant Log4j protection. Shield and hunt with Traceable AI In this blog, I want to describe specific ways that Traceable AI protects against Log4Shell (detects and blocks attacks). I want to look at the challenges teams face with mitigating Log4j vulnerabilities (i.e. Log4Shell). More importantly, offer a specific perspective about how to close the gaps. One of the reasons the Log4j vulnerability is so dangerous is that it is so widespread in applications literally everywhere.
TraceAI : Machine Learning Driven App and API Security
API security Modern applications are mobile first and are built around cloud-native distributed microservices architectures. These architectures have become the basic building blocks for complex and reliable distributed web and mobile applications. Many of these distributed APIs expose the business logic directly over the web; hence the attack surface and attack vectors are very different for these next generation applications.
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