Cogentrix Enhances AI Security with Koi's Endpoint Solutions
Facing escalating AI risks, Cogentrix swiftly deployed Koi Agentic Endpoint Security, gaining immediate visibility and control over its AI landscape within a week, including the identification of critical vulnerabilities.
Key Facts
- Cogentrix's AI adoption surged, revealing a vulnerability in security resources with only 2 staff.
- Koi reduced manual vetting time from 120 to 30 minutes, enhancing team efficiency and focus.
- Deployment uncovered 5,000 unmonitored assets, highlighting gaps in previous security measures.
- Real-time visibility into AI risks improved leadership engagement, showcasing investment value effectively.
- Koi's marketplace governance enables proactive policy writing, enhancing security against evolving threats.
Summary
Summary
Cogentrix, a company facing challenges in managing AI risks with a lean security team, implemented Koi Agentic Endpoint Security to enhance visibility and governance over its AI landscape. The deployment significantly reduced manual vetting time and identified critical vulnerabilities, enabling the security team to focus on strategic tasks. As a result, Cogentrix gained immediate control over its AI workspace and improved collaboration with developers.
Background
Cogentrix operates in the energy sector and has a small security team of just two members. Before the deployment of Koi Agentic Endpoint Security, the team struggled with limited visibility into the AI landscape, which hindered their ability to classify and govern incoming AI tools and packages effectively.
Challenge
The primary challenge was the lack of visibility into AI-related activities, which left the security team unable to track and manage browser extensions, models, and marketplaces. Additionally, the manual vetting process consumed significant time each day, ranging from 30 to 120 minutes, and the team faced pressure from sophisticated threat actors targeting their high-value profile.
Solution
Cogentrix deployed Koi Agentic Endpoint Security using its existing endpoint management tool. The Koi agent script was rolled out across all endpoints within a week. By day five, the system identified over 5,000 previously unmonitored assets, including browser extensions and AI tools. The platform provided immediate global control, blocking unwanted packages and enforcing malware protection, while also surfacing shadow AI activity that had previously gone undetected.
Results
In its first week, Koi Agentic Endpoint Security identified 30 critical vulnerabilities that Cogentrix successfully remediated. The implementation reduced daily manual vetting from two hours to about 30 minutes, allowing the security team to engage more effectively with developers. The platform also enhanced visibility into AI risks, enabling leadership to understand the evolving threat landscape through live dashboard presentations.
Key Insights
The deployment of Koi Agentic Endpoint Security illustrates the importance of having comprehensive visibility and governance in managing AI risks. By integrating security tools that provide real-time insights, organizations can better collaborate with development teams and respond to threats more effectively. Additionally, the ability to present data visually to leadership can enhance understanding and support for security initiatives.
Customer Testimonial
“Marketplace governance is what sold me. Being able to write policy across browser and IDE extensions instead of just blocking known-bad ones, and having that in the same place as package and model visibility — that's the win for us.”
— Jim Boyer, Director of Cybersecurity & AI, Cogentrix
Entities Mentioned
Companies
Products
Technologies
People
Key Concepts
Definitions
- AI risk management
- The process of identifying, assessing, and mitigating risks associated with the use of artificial intelligence technologies.
- endpoint security
- A cybersecurity approach that focuses on protecting endpoints or entry points of end-user devices from malicious attacks.
- shadow AI
- AI tools and applications that are used within an organization without the knowledge or approval of the IT department.
- software bill of materials (SBOM)
- A list of components, libraries, and licenses that make up a software product, used for transparency and security.
- marketplace governance
- The policies and practices that regulate the use of software packages and extensions from online marketplaces.
Use Cases
- →Identifying critical vulnerabilities in AI tools
- →Monitoring downloads from AI model marketplaces
- →Reducing manual vetting time for security
- →Providing visibility into AI risk for leadership
- →Cross-referencing threat activity against monitored packages
- →Applying runtime controls to safeguard sensitive credentials
Frequently Asked Questions
What challenges did Cogentrix face with AI adoption?
Cogentrix faced challenges such as zero visibility into the AI landscape, a lean security team, and a tedious manual vetting process that consumed significant time daily.
How did Koi Agentic Endpoint Security improve security for Cogentrix?
Koi Agentic Endpoint Security provided dynamic visibility and rapid identification of vulnerabilities, reducing manual vetting time and enabling better governance over AI tools and packages.
What is the significance of marketplace governance?
Marketplace governance allows organizations to write policies for browser and IDE extensions, enhancing security by managing the use of software packages rather than just blocking known threats.
How does Koi help in real-time monitoring?
Koi enables real-time monitoring of agent tool invocations and active servers, allowing security teams to apply runtime controls and safeguard sensitive information effectively.
What benefits did Jim Boyer see from using Koi?
Jim Boyer noted that Koi provided him with visibility into areas previously unmonitored, improved communication with developers, and allowed him to present AI risk to leadership more effectively.