Webinar Description
Key Takeaways
- Technical walkthrough of continuous AI-driven penetration testing architecture and design decisions
- Examination of why traditional penetration testing approaches typically assess only a small fraction of organisational assets
- Introduction to Target Graph™ technology for comprehensive attack surface coverage
- Discussion of agentic infrastructure and self-improving security testing systems
- Relevant for CISOs, security architects, vulnerability management teams and DevSecOps professionals
Introduction
Enterprise security teams face a persistent challenge: traditional penetration testing, while valuable, typically examines only a narrow slice of an organisation’s digital footprint. As attack surfaces expand through cloud adoption, third-party integrations and distributed infrastructure, the gap between what gets tested and what remains exposed continues to widen. This webinar from CyCognito addresses that disparity directly, presenting a technical examination of continuous AI-driven penetration testing and its potential to transform how organisations identify vulnerabilities across their entire external attack surface.
The session is led by CyCognito’s co-founders, Rob N. Gurzeev (CEO) and Dima Potekhin (CTO), who bring both strategic and technical perspectives to the discussion. Their founder-led approach offers attendees direct insight into the architectural decisions and engineering trade-offs that shape modern automated security testing platforms.
About This Event
Scheduled for 15 July at 2pm ET, this virtual webinar provides a detailed walkthrough of CyCognito’s always-on AI pentesting capability. Rather than presenting a high-level overview, the session delves into the technical architecture underpinning continuous security testing, examining how the system discovers, maps and tests assets without the constraints of traditional point-in-time assessments.
The founders will share real-world findings that demonstrate the practical impact of this approach, offering concrete examples of vulnerabilities discovered through continuous automated testing. This evidence-based presentation aims to move beyond theoretical benefits and illustrate measurable security outcomes.
The Coverage Problem in Traditional Penetration Testing
Conventional penetration testing operates under significant constraints. Engagements are typically scoped to specific applications, network segments or time windows, leaving substantial portions of an organisation’s attack surface unexamined. The webinar addresses this limitation directly, exploring why most security testing approaches assess only a fraction of available assets.
Several factors contribute to this coverage gap. Manual testing requires skilled practitioners whose time is expensive and finite. Scope definitions often exclude assets that security teams may not even know exist, such as shadow IT deployments, forgotten development environments or infrastructure inherited through acquisitions. The result is a security posture built on incomplete information, where confidence in testing results may not reflect actual risk exposure.
For organisations with extensive digital footprints spanning multiple cloud providers, geographic regions and business units, achieving comprehensive coverage through traditional methods becomes economically and operationally impractical. This creates demand for automated approaches that can scale testing across the full breadth of external-facing assets.
Target Graph™ and Comprehensive Attack Surface Mapping
Central to the technical discussion is CyCognito’s Target Graph™, a proprietary technology designed to enable full-surface coverage in automated penetration testing. The webinar will examine how this system constructs and maintains a comprehensive map of an organisation’s external attack surface, including assets that may not appear in traditional asset inventories.
Attack surface management has emerged as a distinct discipline within enterprise security, recognising that organisations cannot protect assets they do not know they have. The Target Graph™ approach addresses this by continuously discovering and cataloguing internet-facing infrastructure, then using that intelligence to direct automated testing efforts. This integration of discovery and testing represents a departure from workflows where asset inventory and vulnerability assessment operate as separate, loosely connected processes.
Understanding the relationship between attack surface management and penetration testing is increasingly important as organisations adopt zero-trust architectures and assume-breach mentalities. Knowing what exists and continuously validating its security posture become complementary activities rather than periodic, disconnected exercises.
Agentic Infrastructure and Self-Improving Security Systems
The webinar introduces the concept of agentic infrastructure in the context of security testing. This architectural approach employs autonomous agents capable of making decisions, adapting to discovered conditions and executing complex testing sequences without constant human direction. For penetration testing, this means systems that can identify potential attack paths, select appropriate techniques and validate findings with minimal manual intervention.
Perhaps more significant is the discussion of self-improving loops within the testing infrastructure. Rather than operating with static rule sets, these systems incorporate feedback mechanisms that refine their effectiveness over successive runs. Vulnerabilities discovered, false positives identified and testing techniques that prove effective all contribute to improving future performance. This iterative refinement addresses a common criticism of automated security tools: that they produce noisy results requiring extensive human triage.
The application of machine learning and artificial intelligence to security testing continues to evolve rapidly. Early implementations often amounted to pattern matching with limited adaptability. More sophisticated approaches, like those discussed in this webinar, aim to replicate the adaptive reasoning that skilled human testers bring to engagements, while operating at machine scale and speed.
Who Should Attend
This webinar is designed for cybersecurity professionals responsible for protecting enterprise environments with substantial digital footprints. The technical depth of the presentation makes it particularly relevant for practitioners who evaluate and implement security testing solutions.
- CISOs and security leaders seeking to understand how continuous testing approaches might address coverage gaps in their current programmes
- Security architects evaluating how AI-driven testing integrates with existing security infrastructure and workflows
- Vulnerability management teams looking to improve the efficiency and comprehensiveness of their testing operations
- DevSecOps practitioners interested in automated security validation that operates continuously rather than at fixed intervals
- IT security managers in medium to large enterprises with complex, distributed attack surfaces
Organisations in sectors with significant digital assets, regulatory compliance requirements or elevated threat profiles will find the discussion particularly applicable to their operational challenges.
The Shift Toward Continuous Security Validation
The broader industry context for this webinar reflects a fundamental shift in how organisations approach security testing. Annual or quarterly penetration tests, while still valuable for compliance and deep-dive analysis, increasingly appear insufficient given the pace at which infrastructure changes and new vulnerabilities emerge. Continuous security validation represents an operational model where testing becomes an ongoing activity rather than a periodic event.
This transition parallels similar evolutions in software development, where continuous integration and continuous deployment replaced waterfall release cycles. Security testing that operates continuously can identify vulnerabilities closer to the point of introduction, reducing the window of exposure and the cost of remediation. For security teams already stretched thin, automation that delivers actionable findings without proportional increases in analyst workload offers a path toward more sustainable operations.
The webinar provides an opportunity to examine one implementation of this continuous testing model, with technical detail sufficient to evaluate its applicability to specific organisational contexts and security requirements.