- New AI Exploitability Agent: Cycode’s AI Security Teammate automates exploitability analysis with complete code-to-runtime context and cross-scan correlation.
- Secure AI Development: Exploitability analysis complements Cycode’s MCP server to secure AI-generated code with seamless integration of security scanning and risk-based prioritization.
- Better Application Security Outcomes: Cycode customers unify visibility, triage in minutes, auto-remediate 46% of high-risk violations, and reduce MTTR for critical violations by 99%.
Cycode is excited to announce the release of its AI Exploitability Agent, a powerful new risk prioritization capability that combines AI exploitability analysis, code-to-runtime context, and cross-scan correlation to help customers prioritize and fix high-risk exploitable vulnerabilities 99% faster.
The AI Exploitability Agent complements Cycode’s industry-leading testing and AI teammates for change impact analysis, risk intelligence, and remediation to further extend our leadership in AI-native application security. At a time when security teams are struggling to keep pace with AI-assisted development and vibe coding, Cycode makes it possible to reduce risk and improve security outcomes in the AI era.
Automating Risk Prioritization for the AI Revolution
Most security alerts don’t matter. They are not released in production, do not pose a meaningful business risk, or are not exploitable. But buried in the noise are ticking time bombs: exposed secrets, injection flaws in crown-jewel applications, and reachable vulnerabilities that attackers actively target.
The challenge is sifting through the noise to identify the risks that matter.
There are too many vulnerabilities and too few security engineers to analyze every alert manually. AI is amplifying this problem. In 2024, AI generated an estimated 256 billion lines of code. That number is skyrocketing with tools like Cursor generating a billion lines of code a day. Lurking in all that AI-generated code are millions of new vulnerabilities.
Assuming AI-generated code is as secure (or insecure) as human-written code and conservatively estimating 0.1 security flaws per thousand lines of code, then Cursor also creates 100,000 security flaws a day. It’s likely even higher with studies showing 48% of AI-generated applications are vulnerable and a 2024 study finding “Cursor consistently fails to generate secure code.” With security teams already struggling, AI threatens to sink them further underwater.
To secure applications in the AI era, teams need clear answers to critical questions: What poses the most business risk? What is exposed? What is exploitable? Closing the gap between signal and action requires a smarter, more automated approach. That’s where Cycode’s AI Exploitability Agent comes in.
Introducing Cycode’s AI Exploitability Agent
Cycode’s AI Exploitability Agent creates clarity out of complexity. It combines three essential elements – AI exploitability analysis, risk scoring with complete code-to-runtime context, and cross-scan correlation – to distill overwhelming security alerts into risk-based priorities.
Automate Exploitability Analysis to Focus on Real Risks Attackers Can Target
Just because a security violation exists does not mean it is exploitable in the application and runtime environment. Cycode’s AI Exploitability Agent automates this analysis for SAST and SCA violations.
For SAST, the agent leverages data flow analysis, runtime context, insight into mitigating controls, and exploit impact to determine if the violation is exploitable.
For SCA, the agent understands individual CVEs and the conditions required for an exploit. It analyzes the application against the conditions for exploitation and determines whether the CVE can be exploited in the specific application.
Calculate Risk with Complete Code-to-Runtime Context
To prioritize effectively, you need to know if a vulnerability detected in your code has been released and exposed in your live environment. Cycode enriches security violations with runtime context, leveraging metadata from Kubernetes, cloud security, and cloud service provider integrations to tag vulnerabilities that are “Released” (deployed to production) and “Exposed” (accessible from the internet). Cycode uses these tags as variables in its risk scoring algorithm and automatically adjusts scores based on runtime context.
Correlate across Scans to Know Your Security Posture and Pinpoint Root Causes
Multiple alerts from different scanners often stem from the same underlying issue. For example, a flaw detected by a pre-deployment scan may also be detected by a post-deployment scan. Each signal provides valuable security information, but connecting and correlating findings is difficult. Furthermore, finding the same issue multiple times across different scans can inflate alerts or result in multiple tickets to address a single issue.
Cycode correlates DAST-to-SAST and Container-to-SCA violations. This creates a more accurate view of security posture and connects signals to help prioritize code weaknesses that manifest into runtime vulnerabilities and trace runtime risks back to root causes in the code.
Real-World ROI: Prioritize & Fix Critical Vulnerabilities 99% Faster
Cycode recently publisehd an AI Security ROI Calculator to help security and engineering leaders quantify the impact of adopting AI-native application security. By analyzing the real-world impact of AI across common use cases, organizations can calculate the potential return on investment when using AI for remediation, exploitability analysis, and risk assessment.
The calculator reflects outcomes from Cycode customers like Solaris, a global leader in modern banking infrastructure, that faced the same challenge as many fast-growing tech companies: too many security findings, not enough context, and a lack of clarity around what to fix first and how to fix it. With Cycode, Solaris unified visibility, gained clarity into their security posture, rapidly prioritizes high-risk violations, fixes them faster, and achieves remarkable outcomes, including:
- 99% Faster Triaging: Reduced time to triage from over 3 days to less than an hour
- 46% of Issues Auto-Remediated: Automate remediation for nearly half of high-risk violations
- 76% Improvement in Compliance Posture: Improve compliance across the application portfolio
- 99.4% Faster MTTR Critical Risks: Cut the time to find, prioritize, and fix critical violations from 314 days to 3
As AI transforms how software is created, Cycode transforms how it is secured. Costumes like Solaris are proof that when security teams are armed with Cycode’s AI-native application security platform, they don’t just keep pace with development. They take the lead and reduce risk in the AI era.
Take the lead and experience Cycode’s AI Exploitability Agent today. Get a demo.
