Application Security

Backslash offers the Unified Vibe Coding Security Platform , the definitive solution for managing the security risks introduced by the rapid adoption of AI-augmented development, also known as "vibe coding". We provide B2B organizations with the preemptive security controls necessary to secure their entire Generative AI development ecosystem, ensuring both speed of innovation and continuous security. The Problem: The rise of AI coding IDEs and agents has created a new governance and security blind spot for engineering teams. Backslash research has shown that popular LLMs, when used with simple or "naive" prompts, frequently generate code that is insecure or vulnerable. Relying on developers to craft effective security prompts is unrealistic, leading to vulnerable code 40%–90% of the time. Furthermore, the introduction of unvetted MCP (Model Context Protocol) servers presents unacceptable infrastructure and data security risk. The Backslash Value Proposition: Vibe Securing. Backslash addresses this challenge by shifting the mindset from merely detecting vulnerabilities after code is written to preventing their creation before code is generated. We call this "vibe securing". The platform provides the built-in guardrails and context-aware system needed to achieve true "security by design" for AI-generated code. Key Platform Capabilities: Visibility and Governance: Gain full visibility into where developers are using AI coding agents, which LLMs are active, and which MCP servers and prompt rules are in use across the developer infrastructure. The Vibe Coding Dashboard provides an immediate assessment of their security posture. Secure AI Prompt Rules: Preemptively create secure code using prompt rules that automatically enhance developer input to adhere to security best practices. These rules are transparent to developers, resulting in secure code that is free of vulnerabilities and exposures from the start. Ecosystem Hardening: AI Agent and IDE Hardening enforces uniform configuration across Agentic IDEs (like Cursor and Windsurf) to fence off agentic AI, reduce the attack surface, and prevent unexpected behaviors. MCP Server Security allows you to analyze and vet MCP servers to prevent excessive permissions and insecure configurations that could be exploited by malicious actors. Contextual Risk Mitigation: The proprietary Backslash App Graph Model provides a core code security engine that models the application. It ensures findings are contextual from the outset, eliminating noise and false positives by only flagging vulnerabilities that have a real, demonstrable risk attached. This empowers developers with actionable, real-time security guidance directly in their workspace. Backslash boosts AI adoption across software engineering teams by providing governance and preemptive security controls for security and AI governance teams

Heeler helps teams automate the identification, prevention, prioritization, and remediation of open source application security risks. Without an agent, Heeler unifies runtime and business context to pinpoint exploitable risks in production, trace them to exact commits, and automate fixes. SLAs enforce themselves, issues close when resolved, and guardrails keep risks out of production. With Heeler AppSec teams can: ✅ De-prioritize over 99% of open-source vulnerabilities—focusing only on the ones that matter ✅ Automate remediation for the 1% that pose real risk (i.e., vulnerabilities that are exploitable, reachable, running in production, and have business impact) ✅ Enforce CI/CD guardrails to prevent risky open-source dependencies from ever being introduced

Material Security is an automated detection and response platform that protects the emails, files, and accounts that live in your Google Workspace. Material automates the work of your security operations center (SOC) with an AI-powered detection engine that understands the context and contents of activity across your workspace. Material helps fast-growing companies block sophisticated phishing attacks, understand and manage the contents of Shared Drives and My Drives, and get a comprehensive view of account risks to spot indicators of compromise earlier and more accurately. Get the most important features of email security, data loss prevention (DLP), and identity management in one automated platform.

Konvu is building Agentic Vulnerability Management: AI that reasons and orchestrates deterministic tools to pull the right customer context, run evidence backed checks, and automate the entire vulnerability lifecycle with more consistency and depth than a human team. Today Konvu focuses on SCA vulnerability triage. It ingests findings from scanners like Snyk, Black Duck or Semgrep, maps them to a proprietary database of exploitability conditions, and runs targeted AI agents that orchestrate deterministic checks in the customer environment. Konvu does not add another scanner or dashboard. Results flow back into existing tools like Jira, GitHub and SCA or ASPM platforms, preserving current workflows while cutting non exploitable noise and surfacing the vulnerabilities that actually matter.

Jit is redefining application security by introducing the first Agentic AppSec Platform, seamlessly blending human expertise with AI-driven automation. Designed for modern development teams, Jit empowers organizations to proactively manage security risks across the entire software development lifecycle.​ AI-Powered Agents Jit's AI Agents, such as SERA (Security Evaluation and Remediation Agent) and COTA (Communication, Ops, and Ticketing Agent), collaborate with your teams to automate vulnerability triage, risk assessment, and remediation processes, significantly reducing manual workloads. ​ Comprehensive Security Scanning Achieve full-stack security coverage with integrated scanners for SAST, DAST, SCA, IaC, CSPM, and more. Jit's platform ensures continuous monitoring and immediate feedback on code changes, facilitating rapid identification and resolution of security issues. ​ Developer-Centric Experience With integrations into popular IDEs and CI/CD pipelines, Jit provides developers with contextual security insights directly within their workflows, promoting a shift-left approach without disrupting productivity. ​ Agentic AI for AppSec Teams Risk-Based Prioritization Utilizing the Model Context Protocol (MCP), Jit evaluates vulnerabilities in the context of runtime environments, business impact, and compliance requirements, enabling teams to focus on the most critical risks. ​ Seamless Integrations Jit integrates with a wide array of tools, including GitHub, GitLab, AWS, Azure, GCP, Jira, Slack, and more, ensuring that security processes are embedded within your existing technology stack. ​

A Smarter Approach to OSS Security - Function-Level Reachability: We don’t just detect vulnerabilities. We analyze whether they’re actually exploitable in your code. This eliminates over 93% of false positives and saves teams countless hours. - 5 Minute, Agentless Deployment: No CI/CD changes. No infrastructure overhead. Hopper connects with read-only Git access and gets to work in minutes. - Infrastructure-Agnostic Coverage: Identify vulnerabilities across containers, serverless, and client-side apps, regardless of your architecture or operating system. - Real-Time Asset Discovery: Hopper continuously discovers new codebases, projects, and dependencies as they appear. This gives you full visibility without manual effort. - Actionable Remediation Guidance: We don’t just tell you what the problem is. We show you exactly where, why, and how to fix it with minimal disruption, backed by call graphs and root cause analysis. - Modern Framework Support: From Spring to ASP.NET, Hopper understands how complex, dynamic applications actually run and secures them accordingly. In short, Hopper helps you harness the power of open-source, safely.