Backslash Security utilizes reachability analysis and an application graph model enriched with LLM to provide deep visibility into application vulnerabilities, enabling precise identification of exploitable risks. This approach reduces alert fatigue for security teams by prioritizing actionable insights and streamlining remediation efforts in complex, multi-layered environments.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FRSVFounders
Product
Problem
Traditional SAST and SCA tools generate a high volume of alerts, many of which represent vulnerabilities that are not actually exploitable in the application's current configuration. This alert fatigue makes it difficult for security teams to prioritize and remediate the most critical risks in complex, multi-layered environments.
Solution
Backslash Security employs reachability analysis and an application graph model, enhanced with LLM, to provide deep visibility into application vulnerabilities. By mapping the connections between code elements and data flows, Backslash identifies exploitable risks with greater precision than traditional SAST and SCA tools. This approach reduces alert fatigue by prioritizing actionable insights and streamlining remediation efforts. The platform helps security teams focus on the vulnerabilities that pose the greatest threat to the application, enabling more efficient and effective risk management. Backslash provides clear visual maps of application dependencies and offers AI-powered remediation advice tailored to the development language.
Target Audience
Backslash Security targets AppSec teams and CISOs in enterprises with complex, multi-layered applications who are seeking to reduce alert fatigue and prioritize remediation efforts on exploitable vulnerabilities.
Features
- Reachability analysis to prioritize vulnerabilities based on their exploitability
- Application graph model enriched with LLM for comprehensive code understanding
- Phantom package detection to identify hidden risks
- Fix simulation to evaluate the impact of potential remediation efforts
- VEX and SBOM support for improved vulnerability management and compliance
- Out-of-the-box policies and tailor-made campaigns for customized security assessments
- AI-powered remediation advice tailored to the development language
- Integration with CI/CD pipelines for shift-left security