CodeHunter is defining the Zero Trust for Code category and the execution control plane that extends Zero Trust principles to software. Every artifact is untrusted by default. Trust is earned through behavioral verification.
The software supply chain has become one of the most targeted attack surfaces in modern security. As organizations increasingly rely on third‑party components, open‑source libraries, and automated CI/CD pipelines, attackers are shifting their tactics to exploit trust itself. Malware today is no longer defined by static signatures or known indicators. It is adaptive, AI‑generated, and often designed to look legitimate until it is too late.
The way software enters the enterprise has fundamentally changed.
Organizations are no longer just installing a few vetted applications; they are moving thousands of runnable artifacts through CI/CD pipelines at machine speed. When the volume of code increases this rapidly, the traditional window for security vetting—waiting on sandbox detonation or a signature match—becomes a bottleneck that most teams eventually bypass just to keep up with production.
Our recent announcement regarding software supply chain security isn’t a pivot in our technology. Rather, it is the logical extension of the behavioral intent analysis we’ve always practiced.
Most supply chain security focuses on “who” signed the code or “what” the code looks like compared to known threats. But in a modern environment where AI-generated malware and mutating artifacts are common, those indicators are easily spoofed or bypassed.
If you are only analyzing software at the endpoint, you are playing a game of catch-up. By the time an artifact executes, the risk is already live. To secure the supply chain, you have to move the analysis “upstream”—vetting code while it is still in the development and delivery pipeline, before it ever reaches a production environment.
At CodeHunter, we’ve never relied on signature matching. Our approach combines static and dynamic analysis with AI-driven insights to create a Behavioral Intent Profile (BIP).
When we apply this to the software supply chain, we look for what an artifact intends to do. Does a signed binary suddenly try to escalate privileges? Does an internally developed tool attempt an unexpected network connection?
Because our analysis is based on proprietary control-flow and automated reverse engineering, the results are deterministic. In an era of “black box” security tools, we believe that a “block” or “quarantine” decision must be explainable and auditable. Security leaders need to know exactly why an artifact was flagged—not just that an algorithm gave it a high-risk score.
While moving “upstream” is critical for prevention, a comprehensive strategy requires consistency across the entire software estate. The same behavioral engine that vets your software supply chain is also used to resolve “downstream” noise in your existing security stack.
CodeHunter operates as an out-of-band analysis layer that integrates directly with the tools your SOC already relies on. When SentinelOne or Microsoft Defender triggers an alert on a suspicious or “unknown” file, CodeHunter can automatically pull that artifact for deep behavioral analysis.
By using the same “source of truth”—the BIP—to judge a file whether it’s in a developer’s build or on a remote laptop, you gain:
The goal is simple: Pre-Execution Trust. By integrating behavioral analysis directly into CI/CD workflows while simultaneously supporting SOC teams with automated alert analysis, we allow organizations to enforce policy decisions at every stage.
It’s about stopping malicious or policy-violating code from running in the first place, and having a reliable, explainable way to analyze it if it ever tries to enter through the back door.
Balancing robust cybersecurity with limited resources is a growing challenge for today’s organizations. While best practices like Defense-in-Depth remain critical for mitigating risk, budget constraints and a global talent shortage often leave teams under-equipped to execute these strategies. Automation is increasingly stepping in to close this gap—enabling lean security teams to operate with the sophistication of much larger operations.
For Managed Service Providers (MSPs), customer satisfaction is the cornerstone of long-term success. Happy clients not only stay with you longer, but they are also more likely to expand their service adoption and recommend your business to others.
Managed Service Providers (MSPs) operate in an ever-evolving and competitive industry, where finding ways to differentiate can make a significant impact on long-term success. With many MSPs offering similar core services—such as IT support, cloud management, and network monitoring—it’s becoming increasingly important to highlight unique strengths and value. Today’s clients are looking for more than just technical support; they seek expertise, specialization, and solutions that align with their business goals. By focusing on differentiation, MSPs can position themselves as strategic partners rather than just service providers.
In today’s competitive IT landscape, it’s in the best interest of Managed Service Providers (MSPs) to adopt innovative strategies to ensure business growth and stability. Building a diverse portfolio of services can help MSPs avoid being vulnerable to market fluctuations and evolving client needs. By diversifying revenue sources, MSPs can enhance profitability, improve client retention, and future-proof their businesses. Beyond that, a varied array of offerings enables MSPs to better serve their clients, strengthening their partnership and increasing the value they can provide.
In today’s increasingly complex digital landscape, organizations face a growing number of cyber threats. Traditional security models that rely on perimeter defenses are no longer sufficient to prevent unauthorized access, data breaches, and insider threats. Enter the Zero Trust cybersecurity model—a security framework that assumes no entity, whether inside or outside the network, should be trusted by default. Instead, verification is required at every step. Implementing a Zero Trust approach can significantly enhance an organization’s security posture by reducing risks and limiting the damage of potential breaches.
In today’s digital landscape, multinational organizations face a growing challenge: managing their cybersecurity attack surfaces. As these companies operate across various regions, industries, and regulatory environments, their exposure to cyber threats increases exponentially. Effective attack surface management is essential to mitigating risks and maintaining a robust security posture.
Relying on just one line of defense is not enough to protect organizations from cyberattacks. This is especially true for sectors like healthcare, finance, and education, where human error can expose sensitive information. A Defense-in-Depth (DiD) strategy—where multiple layers of security controls work together— can play a crucial role in strengthening cybersecurity awareness programs. Together, DiD and awareness efforts create a robust defense model that ensures both human and technical elements reinforce one another to minimize cyber vulnerabilities.
In today’s digital age, cybersecurity awareness is no longer a luxury—it’s a necessity for organizations of all sizes. As cyberattacks become more sophisticated and frequent, businesses must prioritize educating their employees and leadership on the risks and practices needed to safeguard sensitive information. A strong cybersecurity culture within a company not only protects against cyber threats but also positively impacts business operations, customer trust, and overall resilience.
Hiring capable cybersecurity analysts without requiring a college degree can be a strategic move for security leaders. Just last week, Security Week published an article about how the National Cyber Director, Harry Coker, has made the decision to remove the four-year degree requirement in federal IT contracts and will push agencies to hire based on experience, certifications, and aptitude tests to help fill more than half a million open cyber jobs in the United States. When we look across the world the challenge is even bigger with many credible outlets reporting more than 4 million open cybersecurity positions as of today.
In the evolving landscape of cybersecurity, organizations must navigate a plethora of threats that can compromise data integrity, steal sensitive information, and disrupt operations. One crucial decision that security teams face is whether to deploy a single security platform or to integrate best-of-breed solutions. Each approach has its own set of risks and benefits, and understanding these can help teams make informed decisions. This blog post will explore the pros and cons of each approach, and provide recommendations for selecting the best solutions to provide comprehensive protection against new and emerging malware threats.
