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

Socket is the only SCA that blocks malicious open source packages before they reach your codebase. We go beyond CVEs with: - Real-time malware and threat detection - Reachability-based CVE detection (80% less noise) - License compliance and org-wide SBOMs - Developer-first tooling (CLI, PR checks, browser/IDE integration)

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.

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.

watchTowr enables organizations to get ahead of in-the-wild exploitation through Preemptive Exposure Management - combining Proactive Threat Intelligence with External Attack Surface Management. These capabilities together allow organizations to accurately understand their exposure to the latest attacker tactics and techniques, and answer the single most important question: “Are we affected?”.