Security and compliance programs have traditionally depended on periodic assessments, manual evidence collection, spreadsheets, security questionnaires, and audit preparation.
That model is becoming increasingly difficult to maintain as organizations adopt cloud platforms, APIs, SaaS applications, artificial intelligence, and autonomous AI agents.
A recent development involving Comp AI highlights this shift.
The cybersecurity and compliance company has raised $34 million in Series A funding, led by Roo Capital and Grand Ventures. The round brings the company’s reported total funding to $37.5 million. Comp AI is building an AI driven platform designed to automate security and compliance activities while moving toward more continuous monitoring and validation.
The development is significant because organizations are no longer dealing with static technology environments.
Applications change.
Cloud configurations change.
Employees join and leave.
Third party integrations are added.
AI systems and agents gain new permissions.
New vulnerabilities are discovered.
A compliance assessment completed several months ago may not fully represent the security environment that exists today.
This creates a growing need to connect compliance with continuous cybersecurity operations.
From Periodic Compliance to Continuous Security
Traditional compliance programs often focus heavily on preparing for an assessment.
Organizations collect policies, screenshots, access records, security evidence, vulnerability information, risk assessments, and other documentation before an audit.
While these activities remain important, they can provide only a point in time view of an organization’s security controls.
AI and automation are creating opportunities to make this process more continuous.
Comp AI says its platform uses AI agents to support activities such as policy generation, evidence collection, and continuous monitoring of compliance controls. Its platform also supports frameworks including SOC 2, ISO 27001, HIPAA, GDPR, and FedRAMP.
The broader cybersecurity lesson is important:
Compliance should not be treated as an annual event. Security controls need to operate continuously.
Why Continuous Compliance Matters
Imagine an organization completes a security assessment and receives confirmation that its controls are operating appropriately.
Two weeks later:
• A new cloud application is deployed
• An AI agent is connected to internal systems
• A new administrator receives elevated privileges
• A production API is modified
• A security configuration changes
• A new third party integration is introduced
• A previously unknown vulnerability is discovered
The organization may still have valid audit documentation, but its technology environment has changed.
This gap between an assessment and the continuously changing environment is one of the challenges emerging around modern compliance.
Continuous monitoring can help organizations identify changes earlier and determine whether those changes affect security controls.
AI Agents Are Changing the Security Landscape
The adoption of AI agents introduces another layer of complexity.
Unlike traditional software that primarily responds to predefined instructions, autonomous or semi autonomous agents may interact with applications, retrieve information, use tools, access data, and perform actions based on their assigned tasks.
This creates new security questions.
Organizations need to understand:
• What AI agents exist within the environment?
• What systems can each agent access?
• What permissions have been assigned?
• What information can an agent retrieve?
• Which actions can an agent perform?
• Are agent activities being logged?
• Can excessive permissions be detected?
• Can abnormal behavior be identified?
• Who is responsible for approving high impact actions?
These questions connect AI governance directly with cybersecurity and compliance.
TechCrunch reports that Comp AI is working toward monitoring permissions and accountability around autonomous software, including understanding what agents access and whether their actions remain within defined boundaries.
Human Oversight Still Matters
Automation can significantly reduce repetitive compliance and security work, but it does not eliminate the need for human security expertise.
AI can assist with:
• Policy drafting
• Evidence collection
• Control monitoring
• Risk identification
• Security testing
• Compliance reporting
• Vulnerability discovery
• Remediation workflows
However, organizations still need people to review important decisions, validate findings, understand business context, and approve high impact changes.
Comp AI itself describes its platform as supporting rather than replacing independent audits and human oversight.
This principle is especially important as AI systems become capable of performing increasingly consequential actions.
The greater the potential impact of an automated decision, the more important appropriate authorization, monitoring, validation, and accountability become.
AI Powered Penetration Testing
Another important aspect of the platform is the use of AI for security testing.
Comp AI says its platform can perform AI powered penetration testing across codebases and infrastructure to identify vulnerabilities.
AI assisted security testing can potentially help organizations increase testing frequency and identify weaknesses earlier in the development lifecycle.
However, automated testing should complement, rather than completely replace, experienced security professionals.
Human penetration testers provide important context around:
• Business logic
• Authentication and authorization
• Complex attack paths
• Application architecture
• Security controls
• Data flows
• Business impact
• False positives
• Remediation validation
A mature security program should combine automated testing with expert driven assessment.
Compliance Should Support Security, Not Become a Checklist
One of the risks associated with compliance programs is treating security controls as documentation requirements rather than operational safeguards.
An organization may possess policies and evidence while still having weaknesses in:
• Identity and access management
• Cloud configurations
• Application security
• API security
• Network security
• Endpoint protection
• Vulnerability management
• Third party risk management
• Data protection
• AI governance
Effective compliance programs should therefore connect documentation with real security outcomes.
Organizations should be able to demonstrate not only that a control exists, but also that it is implemented, monitored, tested, and continuously improved.
Security and Compliance Are Becoming Connected
Historically, compliance teams and cybersecurity teams often operated with different objectives.
Compliance teams focused on frameworks, documentation, audits, and regulatory requirements.
Security teams focused on vulnerabilities, threats, incidents, infrastructure, applications, and defensive controls.
Modern environments increasingly require these functions to work together.
A vulnerability can become a compliance issue.
A cloud misconfiguration can create both security and regulatory exposure.
An improperly configured AI agent can create privacy, access control, and governance concerns.
A third party with excessive access can create supply chain and data protection risks.
This means organizations need a security program where compliance requirements are connected directly to technical controls and measurable security outcomes.
Industry Impact
The move toward continuous AI driven security and compliance can affect organizations across multiple sectors.
Financial Services
Banks, fintech companies, insurance providers, payment organizations, and investment firms manage highly sensitive financial and customer information.
They operate complex environments involving banking applications, APIs, cloud infrastructure, payment systems, identity platforms, and third party services.
COE Security can help financial organizations strengthen compliance and security through application security assessments, penetration testing, cloud security reviews, API testing, vulnerability management, identity security assessments, data protection strategies, and continuous security monitoring.
These services can help organizations align technical controls with requirements such as PCI DSS, GDPR, and other applicable regulatory obligations.
Healthcare
Healthcare organizations manage protected health information, clinical applications, medical devices, cloud platforms, patient portals, and interconnected systems.
Security weaknesses can create both privacy and operational risks.
COE Security can help healthcare organizations assess application, network, cloud, API, and infrastructure security while supporting HIPAA aligned security and compliance programs.
AI governance is also becoming increasingly relevant as healthcare organizations adopt AI tools for administrative, analytical, and clinical workflows.
Retail and E-commerce
Retail organizations operate customer applications, payment platforms, APIs, cloud infrastructure, point of sale environments, loyalty systems, and third party integrations.
Continuous security monitoring can help organizations identify configuration changes and security weaknesses before they become larger problems.
COE Security can help retail organizations with web and mobile application testing, API security, cloud assessments, network penetration testing, payment security assessments, vulnerability management, and data protection.
Manufacturing
Manufacturing companies increasingly connect enterprise applications, cloud services, industrial environments, IoT devices, and operational technology.
This creates a broader attack surface that requires continuous visibility.
COE Security can help manufacturers assess network, application, cloud, IoT, and relevant OT security while identifying vulnerabilities and supporting remediation and compliance initiatives.
Government
Government agencies operate large technology environments containing sensitive information and systems supporting essential public services.
Continuous security and compliance monitoring can help agencies maintain visibility across applications, infrastructure, cloud environments, identities, and third party services.
COE Security can support government organizations through penetration testing, application security assessments, cloud security reviews, vulnerability assessments, threat monitoring, compliance consulting, and secure development programs.
What Organizations Should Do Now
Organizations adopting AI driven security and compliance should consider several practical measures.
Establish Continuous Visibility
Maintain an accurate understanding of applications, infrastructure, cloud resources, identities, data, APIs, third parties, and AI systems.
Monitor Security Controls
Do not wait for the next audit to discover that a control is no longer operating as intended.
Govern AI Permissions
Document which AI systems and agents have access to sensitive information and business systems.
Apply Least Privilege
AI agents should receive only the permissions required to perform their approved functions.
Maintain Strong Logging
Organizations should maintain sufficient visibility into important AI and system activities to support monitoring, investigation, and accountability.
Combine Automation With Human Review
Use AI to reduce repetitive work while retaining human approval for high impact decisions.
Validate Security Through Testing
Automated assessments should be supplemented by penetration testing and independent security validation.
Connect Compliance With Risk
Compliance activities should contribute to actual risk reduction rather than becoming documentation exercises.
Reassess After Significant Changes
Major changes to applications, infrastructure, cloud environments, AI systems, identities, or data flows should trigger appropriate security and compliance reviews.
The Future of AI Driven Compliance
The $34 million investment in Comp AI reflects a broader direction within cybersecurity.
Organizations are moving from periodic compliance assessments toward more continuous approaches that combine automation, security monitoring, control validation, vulnerability management, and AI governance.
This does not mean that traditional audits or compliance professionals will disappear.
Instead, technology can reduce the administrative burden surrounding compliance and allow security teams to focus more attention on risk, resilience, and security outcomes.
The growth of AI agents makes this transition particularly important.
As software becomes capable of taking more actions independently, organizations will need stronger visibility into what those systems can access, what they actually do, and whether their actions remain within approved boundaries.
Conclusion
Comp AI’s $34 million Series A funding highlights an important development in the cybersecurity industry: the convergence of artificial intelligence, security operations, and compliance.
Modern organizations cannot rely entirely on periodic assessments to understand their security posture.
Technology environments change continuously, and AI agents are accelerating that change.
Continuous evidence collection, security control monitoring, vulnerability assessment, AI governance, penetration testing, and human oversight can help organizations maintain a more current understanding of their security environment.
The goal should not simply be to become audit ready.
The goal should be to build an environment where security and compliance are continuously measured, validated, and improved.
As organizations continue adopting AI, cloud technologies, and autonomous systems, cybersecurity and compliance will increasingly need to operate together.
About COE Security
COE Security partners with organizations in financial services, healthcare, retail, manufacturing, and government to secure AI-powered systems and ensure compliance.
Our offerings include:
• AI-enhanced threat detection and real-time monitoring
• Data governance aligned with GDPR, HIPAA, and PCI DSS
• Secure model validation to guard against adversarial attacks
• Customized training to embed AI security best practices
• Penetration Testing (Mobile, Web, AI, Product, IoT, Network & Cloud)
• Secure Software Development Consulting (SSDLC)
• Customized CyberSecurity Services
• Follow COE Security on LinkedIn for ongoing insights into safe, compliant AI adoption.
In addition, COE Security helps organizations strengthen continuous security and compliance programs through AI security assessments, security control validation, vulnerability assessments, penetration testing, application security testing, API security testing, cloud security assessments, network security reviews, identity and access management assessments, data protection programs, secure AI architecture reviews, and compliance readiness services.
For financial services organizations, we help assess banking applications, payment environments, APIs, cloud infrastructure, identity systems, and sensitive financial data while supporting security and compliance requirements.
For healthcare organizations, we help secure healthcare applications, patient portals, cloud environments, connected systems, and infrastructure handling sensitive health information while supporting HIPAA aligned security practices.
For retail and e-commerce organizations, we help secure customer applications, payment systems, APIs, cloud platforms, third party integrations, and digital commerce environments through continuous security assessments and penetration testing.
For manufacturing organizations, we help assess enterprise applications, networks, cloud infrastructure, connected devices, IoT environments, and relevant operational technology while helping reduce cybersecurity and operational risks.
For government organizations, we help strengthen security across applications, networks, cloud infrastructure, APIs, endpoints, identities, and sensitive digital services while supporting cybersecurity governance and compliance requirements.
COE Security also helps organizations evaluate emerging AI risks by assessing AI applications, AI enabled workflows, model security, access controls, data protection, AI pipelines, and security controls surrounding AI agents.
Our approach combines cybersecurity testing, compliance support, security monitoring, risk assessment, secure development practices, and human expertise to help organizations move beyond periodic compliance exercises toward continuously validated security programs.
As organizations adopt increasingly autonomous AI systems, maintaining visibility, accountability, security, and compliance will become increasingly important.
Follow COE Security on LinkedIn for ongoing insights into AI security, cybersecurity, compliance, vulnerability management, emerging threats, and secure digital transformation. Stay updated and cyber safe.
Click to read our LinkedIn feature article