# Ronen Slavin

Ronen Slavin writes about application security, software supply-chain risks, and securing AI-assisted software development. Their posts connect emerging threats—such as AI-driven vulnerability discovery and attacks on build pipelines—to practical priorities for security teams, including remediation, governance, and runtime protection.

- Profile: https://b2binfluencer.marketing/creators/ronen-slavin/
- LinkedIn: https://www.linkedin.com/in/ronen-slavin-26281411
- LinkedIn followers: 6,929
- Topics: artificial-intelligence, supply-chain, cybersecurity, ai-security, application-security
- Based on 15 dated posts, latest 2026-10-10

## Summary

Ronen Slavin is most useful for explaining AI-driven vulnerability discovery, remediation, and software supply-chain security priorities.

- Best for: A B2B cybersecurity vendor wanting thought leadership for security and application-security teams.
- Not for: A consumer lifestyle brand wanting broad-reach entertainment, consumer demographics, and paid-post performance.
- Check first: Confirm partnership format, audience analytics, security-role fit, editorial independence, and commercial terms.

### Takeaways

- AI can shorten the time between finding a vulnerability and exploiting it.
- AI models and coding agents belong in software-supply-chain security governance.
- Defend build pipelines with layers such as pinning actions, limiting token scope, runtime protection.

## Main ideas

- **The bottleneck is fixing vulnerabilities, not finding them**: Slavin argues that AI can accelerate vulnerability discovery and exploitation, while remediation remains difficult. Defenders need systems to identify which findings matter, plan a response, and verify the result—not just generate suggested fixes.
- **AI models and coding agents belong in software-supply-chain security**: Slavin extends supply-chain thinking beyond conventional code and dependencies. Teams may adopt models or connect coding agents without knowing what they contain, where they came from, or what access they have.
- **Defend build pipelines with layers that cover different attack steps**: Slavin advises against relying on a single safeguard. They outline controls that act at different points in an attack, from preventing unsafe changes to limiting credentials and detecting malicious activity during a build.
- **Security architecture should connect risk across the development lifecycle**: Slavin makes the case for connecting application security, software-supply-chain security, and posture management rather than treating them as isolated problems. This is a product and category argument they make on behalf of Cycode, not independent evidence that a particular platform outperforms alternatives.

## Work to read

- [From Vulnerability Discovery to Remediation](https://www.linkedin.com/posts/ronen-slavin-26281411_the-complete-recap-2026-agentic-development-activity-7486049753403879424-7CcF)
- [Private AI Models: Supply Chain Security Risks](https://www.linkedin.com/posts/ronen-slavin-26281411_cycode-hugging-face-see-secure-every-activity-7510763902541099008-z5-3)
- [Building a Security Platform for AI-Accelerated Development](https://www.linkedin.com/posts/ronen-slavin-26281411_cycode-named-as-a-leader-in-the-2026-gartner-activity-7474833929422954496-BzTj)
- [Handling Next-Gen Cyber Threats from AI Models (Claude Mythos 5)](https://www.linkedin.com/posts/ronen-slavin-26281411_cycode-mythos-activity-7470893079634427906-xb2_)
- [Defending Against Real-World Supply Chain Attacks at Runtime](https://www.linkedin.com/posts/ronen-slavin-26281411_the-complete-recap-2026-agentic-development-activity-7478103196230529024-Pl1C)
- [Governing AI in Practice: From Research to Enterprise Adoption](https://www.linkedin.com/posts/ronen-slavin-26281411_mythos-ai-governance-activity-7478103196230529024-Pl1C)

## Brand relationships

- **Cycode** (disclosed_partnership)

## Partnerships

The source material identifies no official partnership formats, sponsor policies or inquiry routes; ask Cycode about available options. The content focuses on software supply chain security, AI governance and Cycode's leadership in the Agentic Development Security space.

## Alternatives

- Deepen Desai: Choose Desai when the buyer task targets security operations and enterprise platform buyers rather than developer-security teams. Their posts frame AI-driven attacks as a SOC problem: fragmented tools, incomplete visibility, high ingestion costs and too many manual steps. One post describes Zscaler's Agentic Security Operations launch with unified exposure and threat management and closed-loop remediation; another describes testing Anthropic Mythos and OpenAI GPT 5.5 Cyber and the implications for exploit paths and Zero Trust defenses. This is a stronger match for a series on SOC modernization and AI attack response.
- Darius Radford: Choose Radford when the buyer wants a structured operating-model or maturity-assessment angle for DevSecOps leaders. The posts describe a Secure Software Factory framework with orchestrated delivery, developer-centered AppSec, artifact and supply-chain governance, unified risk correlation and post-deployment protection. One post explicitly offers a Secure Software Factory Assessment that establishes a maturity baseline and prioritized roadmap. That suits a campaign built around assessment, governance and phased transformation.
- Jim Manico: Choose Manico when the campaign needs a debate-driving, economics-led thesis for AppSec leaders. Their posts argue that AI collapses the cost of finding and fixing vulnerabilities and shifts the market from discovery to continuous security engineering and verification. Manico names concrete activities AI agents can perform, including codebase analysis, exploit development, patching, regression tests and independent verification, and ties the argument to OWASP ASVS and AISVS. That is useful for a provocative thought-leadership series on where AppSec tooling is heading.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/