Agentic Security
I apply AI agents to security assessment and adversarial testing — using autonomous systems that think like attackers to identify vulnerabilities before they're exploited.
The Approach
Why AI agents change the security assessment game.
Traditional security tools run predefined scans and produce static reports. They check known vulnerabilities against known signatures. Agentic security is fundamentally different: it uses AI agents that reason about your systems the way an attacker would — exploring, probing, chaining findings together, and adapting their approach based on what they discover.
This isn't about replacing security professionals. It's about giving them autonomous assistants that can systematically work through the tedious, time-consuming aspects of security assessment — the enumeration, the reconnaissance, the methodical testing — while the human experts focus on strategy, remediation planning, and the judgment calls that require experience.
Agentic Security Profiling
Comprehensive, AI-driven mapping of your security posture.
Security profiling agents build a thorough picture of your organisation's attack surface by systematically mapping exposed assets, cataloguing configurations, and identifying vulnerabilities. Unlike one-off scans, these agents work continuously and contextually — they understand the relationships between findings and prioritise based on actual exploitability, not just severity scores.
Attack Surface Mapping
Agents that enumerate your external and internal attack surface — domains, subdomains, exposed services, API endpoints, cloud resources, and third-party integrations. They build a living map that updates as your infrastructure evolves, catching new exposures as they appear.
Vulnerability Identification & Prioritisation
Beyond running CVE checks, these agents assess vulnerabilities in context. They consider what's actually reachable, what data is at risk, and how findings chain together. A medium-severity vulnerability that provides a path to a critical system gets elevated; an isolated critical finding with no viable attack path gets appropriately deprioritised.
Configuration Auditing
Automated review of infrastructure configurations — cloud IAM policies, network rules, application settings, and deployment configurations. The agent checks against security best practices and your own policies, identifying misconfigurations that scanners typically miss because they require contextual understanding.
Continuous Posture Monitoring
Security profiling isn't a point-in-time exercise. I build agents that run continuously, detecting changes to your attack surface, new vulnerabilities in your stack, and configuration drift. They provide ongoing situational awareness rather than periodic snapshots.
Agentic Red Teaming
Autonomous adversarial testing that thinks like an attacker.
Red teaming agents don't follow scripts. They're given objectives — "find a path to this database," "exfiltrate test data from this application," "escalate privileges from this starting point" — and they autonomously plan and execute attack strategies. They probe defences, test assumptions, chain weaknesses together, and report exploitable paths with clear evidence and remediation guidance.
Automated Penetration Testing
Agents that conduct systematic penetration testing workflows — reconnaissance, enumeration, exploitation, and post-exploitation. They methodically work through attack vectors, document every step, and produce reports that your security team can use directly for remediation.
Threat Scenario Simulation
Purpose-built agents that simulate specific threat scenarios relevant to your organisation — insider threats, supply chain compromise, social engineering follow-through, and more. Each scenario tests your defences against realistic attack patterns, not just theoretical vulnerabilities.
Defence Bypass & Weakness Chaining
The real value of agentic red teaming is in chaining — combining individually low-risk findings into viable attack paths. The agent identifies how a minor information disclosure, combined with a misconfiguration and a weak access control, creates a path to a critical asset that no individual finding would have flagged.
Remediation-Focused Reporting
Every finding comes with clear, actionable remediation guidance. The agent doesn't just say what's wrong — it explains why it matters, how it was exploited, and what specific changes would address the issue. Reports are structured for both technical teams and management stakeholders.
How This Differs from Traditional Tools
Reasoning, Not Rules
Traditional scanners match patterns. Agentic security systems reason about what they find. They understand context, make inferences, and adapt their approach — just as a skilled human tester would, but at machine speed and with tireless consistency.
Continuous, Not Periodic
Instead of quarterly penetration tests that produce static reports, agentic security provides ongoing assessment. Your attack surface changes daily; your security assessment should keep pace.
Contextual, Not Generic
These agents are configured to understand your specific environment — your architecture, your data classification, your risk tolerance. Their findings are relevant to your business, not generic advisories that require hours of triage to determine applicability.
Interested in agentic security assessment?
Let's discuss how AI agents can strengthen your security posture.
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