Pen Testing That Reasons Like an Attacker
Scanners run signatures. Human testers run tools. Scrutex AI agents think — observing your environment, reasoning about what to try next, chaining vulnerabilities into real attack paths, and adapting when one route fails. Exactly what a skilled adversary does. At machine speed.
Agents reason. Scripts don’t.
Every other automated pen testing tool is a smarter script. Scrutex deploys agents that make decisions — and that changes everything about what they find.
Observes, decides, adapts, persists
The agent has goals, not a script. At every step it evaluates what it found, decides what to try next, re-routes around blocked paths, and keeps going — exactly like a skilled attacker working a target.
- ✓ Discovers an open port → reasons about what service is likely → probes intelligently
- ✓ One exploit fails → pivots to a different technique for the same goal
- ✓ Finds a low-severity issue → evaluates if it chains to something critical
- ✓ Achieves foothold → autonomously attempts privilege escalation and lateral movement
- ✓ Encounters a WAF → adapts payload encoding and retry strategy
Executes a predefined list and stops
Traditional scanners run a fixed playbook. When a check returns nothing, they move on. They cannot chain findings, adapt strategy, or reason about context.
- \u2717 No reasoning between steps — each check is independent
- \u2717 Cannot chain low-severity findings into critical attack paths
- \u2717 Does not adapt when an approach is blocked
- \u2717 Stops at the perimeter — no post-exploitation reasoning
- \u2717 Reports vulnerabilities in isolation, not as attack narratives
Five phases. One continuous reasoning loop.
At every phase, the agent reasons about what it found and decides what to do next. There is no fixed playbook — only goals, observations, and decisions.
Observe & Map
Agent enumerates the full external attack surface. It reasons about what each finding implies — not just whether a port is open, but what that port likely runs and why it matters.
Enumerate & Hypothesise
The agent forms hypotheses about likely weaknesses based on what it observes — tech stack, auth patterns, endpoint structure. It prioritises what to test first based on impact probability.
Attempt & Adapt
The agent attempts its hypothesis. If it fails, it reasons about why and selects the next most likely approach. It never stops at the first failure — it adapts until it either succeeds or exhausts options.
Chain & Pivot
With a foothold established, the agent reasons about what else it can reach — privileged APIs, internal data, other users’ sessions. It builds a chain, turning individual findings into a full attack narrative.
Narrate & Evidence
Every finding is reported as a full attack narrative — the reasoning chain, each step taken, evidence captured, impact assessed, and remediation steps provided. MITRE ATT&CK techniques tagged throughout.
What the agent can do autonomously
These are the reasoning and execution capabilities that separate agentic testing from automated scanning.
Contextual reasoning
The agent understands what it finds — inferring technology stacks, auth patterns, and likely weaknesses from observable signals, not just matching signatures.
Vulnerability chaining
The agent connects low-severity findings into high-impact attack paths. An information disclosure plus a misconfigured API plus a predictable token becomes a full account takeover chain.
Adaptive strategy
When a technique is blocked — by a WAF, rate limiter, or patched endpoint — the agent selects the next best approach rather than marking the check failed and moving on.
Goal-directed persistence
The agent is given objectives — compromise the admin panel, access customer data, escalate to root — and keeps working toward those goals across multiple sessions if needed.
Multi-surface coverage
A single agent session covers external attack surface, web applications, APIs, and authentication flows — correlating findings across surfaces to find cross-system attack paths.
TTP-driven approach
Agents are loaded with the TTPs of threat actors targeting your sector. They test what your specific adversaries are known to try, not just generic checks.
Attack narrative generation
Every finding is reported as a step-by-step attack narrative — the agent’s reasoning, what it tried, what worked, what the attacker could do next. Not a CVE list — a story.
Guardrailed autonomy
You define the scope, rules of engagement, and exclusion zones. The agent operates with full autonomy within those bounds — no manual approvals for each step.
Continuous re-testing
After remediation, the agent re-runs the same attack chains to verify fixes. No scheduling delays, no billable hours — re-test runs on demand in hours, not weeks.
Every surface. Every standard.
Complete coverage across OWASP, MITRE ATT&CK, and API security — with findings mapped to the compliance frameworks your regulators require.
OWASP Top 10 — Web Applications
2021 · All 10 categories
OWASP API Security Top 10
2023 · REST, GraphQL, gRPC
MITRE ATT&CK Coverage
Enterprise + Cloud matrices
External Attack Surface
Continuous + on-demand
Findings mapped to your regulatory obligations
The honest comparison
Scanners are fast but shallow. Manual testers are deep but slow and expensive. Agentic testing gives you depth at speed.
| Capability | Vuln Scanner | Manual Pen Test | Scrutex Agentic |
|---|---|---|---|
| Reasons about findings in context | \u2014 | ✓ | ✓ |
| Chains vulnerabilities into attack paths | \u2014 | ✓ | ✓ |
| Adapts when a technique is blocked | \u2014 | ✓ | ✓ |
| TTP-driven by real threat actor intelligence | \u2014 | Sometimes | ✓ |
| Attack narrative with reasoning trail | \u2014 | Varies | ✓ |
| Full OWASP Web + API Top 10 | Partial | ✓ | ✓ |
| MITRE ATT&CK mapped output | \u2014 | Sometimes | ✓ |
| Compliance-ready report | \u2014 | Varies | ✓ |
| On-demand re-testing after fixes | ✓ | \u2014 | ✓ |
| Turnaround time | Hours | 4–12 weeks | Days |
| Approx. cost | $1K–$5K/yr | $20K–$150K | Subscription |
When you need a human behind the report
Regulatory submissions, board sign-off, and formal TLPT requirements sometimes need a qualified practitioner. We’ve built that in.
Expert co-sign
A qualified security practitioner reviews agent findings, validates critical attack chains, and co-signs the report for regulatory or board use.
Regulatory submission package
Full TIBAS / iCAST / APRA-formatted documentation prepared by our team, ready for direct submission to your regulator.
Purple team debrief
Joint attacker-defender session replaying every agent decision — your blue team sees exactly what the agent found and why, improving detection playbooks.
Verified closure
Post-remediation re-run with formal closure attestation confirming each identified risk has been addressed. On-demand, no scheduling delays.
See an agent test your environment live
Book a demo. We\u2019ll run the agent against your external attack surface and show you its reasoning chain in real time.