Bright

What Happens When AI Writes More Code Than Your Security Team Can Review? How Do You Reduce MTTR? Control Token Costs? And Secure AI-Generated Code At Scale? Join Our ZoomInfo Webinar: The Future Of AppSec In The AI Era A Live Discussion On AI Security, Security ROI, Token Economics, And The Technologies Defining The Next Generation Of Application Security. Featuring Bright Security CEO Gadi Bashvitz And ZoomInfo's Senior Director of Security Architecture, Itay Kozuch. July 15, 2026 | 08:00 AM PST Reserve Your Spot: https://lnkd.in/gceSAGCm #AISecurity #AppSec #ApplicationSecurity #DevSecOps #CyberSecurity

The sheer volume of DAST findings often obscures critical vulnerabilities, creating more operational noise than actionable intelligence. IT and operations teams face a constant struggle to distinguish real threats from scanner output. Prioritizing thousands of theoretical vulnerabilities siphons resources away from actual incident response. Traditional scan reports rarely translate directly into immediate, clear remediation paths for infrastructure. Solutions that contextualize vulnerabilities for operational impact are becoming essential. This isn't just about finding flaws; it's about finding the right flaws that impact production reliability. Bright helps teams cut through this noise. Learn how teams are solving this: https://lnkd.in/dMGtrafa #AppSec,#DevSecOps,#SoftwareSecurity,#CloudSecurity,#ApplicationSecurity,#CyberSecurityStrategy

Claude Code Security just made one thing obvious: in AppSec, “Who finds more vulnerabilities” is no longer a differentiator. “Who can prove which ones matter and help teams fix them fast?” is. Anthropic’s new capability scans entire codebases, reasons about them like a security researcher, and suggests targeted patches for human review. It’s meant to give defenders the same AI leverage attackers are starting to use, and early signals show it’s incredibly good at uncovering long‑lived vulnerabilities in complex code. If you’re in security or engineering leadership, that’s both exciting and terrifying: Your detection surface explodes: more issues, across more repos, uncovered more quickly. Your teams don’t grow overnight: triage, prioritization, and remediation capacity are still limited. The risk isn’t “missing bugs” anymore; it’s drowning in them and not knowing what’s actually exploitable. This is the gap we’ve positioned Bright to own. Bright’s developer‑centric DAST doesn’t compete with Claude Code Security at the code level; it complements it by attacking your running applications and APIs, with thousands of tailored payloads and automation designed for DevSecOps speed. We already integrate into CI/CD and developer workflows so teams can: Turn Claude/AI findings into targeted dynamic tests on critical flows. Validate which vulnerabilities are real in their environment. Ship fixes with confidence, backed by automated re‑testing. From a go‑to‑market perspective, this is the story I’m betting on: AI will commoditize “finding more stuff.” Bright will be judged on how well we help customers turn that into fewer incidents, faster releases, and a cleaner risk story to the board. If you’re experimenting with Claude Code Security and want to see what this combined story looks like in your pipeline, I’m happy to compare notes.

Regulators are getting smarter, and #compliance evidence needs to get smarter with them. I’m looking forward to joining Scrut Automation webinar on how #security and compliance teams can move from audit-time scrambling to continuous and defensible proof. In #appsec, that shift is especially important: evidence cannot just show that a #scan happened, but that risks were validated, prioritized, remediated, and verified. That is the experience we at Bright gained the hard way, evolving our continuous security #testing and #AI-assisted #remediation workflows through Bright STAR, and that is precisely the kind of experience we aim to convey through well-assembled online gatherings like this one. Register and join us: https://lnkd.in/dcQKxVaT

Security debt grows fast when security testing happens too late in the development process. Many teams still rely on manual penetration testing at the end of a sprint. This creates a hard choice between shipping fast and reducing risk. A real shift-left approach means adding DAST directly into the CI/CD pipeline, so developers get security feedback early - while they are still building. Instead of fixing vulnerabilities later, teams can prevent them before they reach production. Bright helps teams automate this process without slowing down development. Learn more here: https://lnkd.in/dEnTw-gX #AppSec #DevSecOps #SoftwareSecurity #ApplicationSecurity #ShiftLeft

AI is increasing development speed - but it’s also amplifying risk. We’re seeing developers generate 2x more code… and up to 600% more vulnerabilities tied to AI-assisted output. Most teams aren’t prepared for this shift. The AI security gap isn’t theoretical - it’s already happening. #AICodeSecurity #AppSec #DevSecOps #AISecurity #ShiftLeft #CyberSecurityStrategy