From autonomous penetration testing and vulnerability research to adaptive threat hunting, verified defense and self-evolving security capabilities — unified in one sovereign, vendor-agnostic AI platform.
One agentic AI that attacks your environment the way a skilled adversary would — within the authority you grant — then turns what it learns into verified detection, remediation and new capabilities.
Autonomous reconnaissance and research across every surface in scope — web, identity, infrastructure, cloud.
No theoretical findings. Reproducible evidence, attack-path graphs and demonstrated impact, independently verified.
Hunt, correlate and investigate. Validate whether your controls see what was done — and fix what they miss.
New tests, validators and detection rules generated from each engagement, evaluated before they are admitted.
State an objective in natural language and an authorized scope. AimThreat chooses the methodology, selects the tooling, adapts the plan as the environment responds and collects evidence — without configuring dozens of playbooks by hand.
A single natural-language goal plus an authorized scope is all it takes. The AI establishes methodology, picks and sequences tools, re-plans on what it finds and gathers evidence end to end — no manual playbook engineering.
Multi-surface offensive evaluation that follows the attack path wherever your scope allows, rather than stopping at a single layer.
A clear line between observed exposures, hypotheses, confirmed vulnerabilities and demonstrated impact. Attack graphs show how issues chain together; every confirmed finding carries reproducible evidence and independent verification.
An adversary that understands how environments are compromised is uniquely placed to find the compromise your rules did not. AimThreat hunts, investigates and reconstructs — with the evidence discipline of a forensic analyst.
Detection, correlation and behavioural analysis across your telemetry. Investigation of suspicious activity and proactive hunting for threats that existing rules and signatures do not identify.
Timeline reconstruction, evidence analysis and identification of suspicious activity. Competing hypotheses are kept explicit, impact is assessed, and remediation recommendations follow from the evidence — not from assumptions.
Findings are correlated with threat-intelligence context and with the results of static and dynamic analysis, wherever the required instrumentation is available in your environment.
Beyond known-vulnerability checks, AimThreat carries out adaptive research against the software you actually run — and turns what it learns into new, evaluated capabilities.
Adaptive vulnerability research: fuzzing, differential testing, fault reproduction and the development of new validators for what is found.
This is a research capability — not a promise that every assessment uncovers a zero-day.AimThreat proposes and generates new tests, validators, detection rules and investigation strategies from its own engagements. Every new capability is evaluated before it can be admitted and reused — nothing enters the toolbox unverified.
Offensive activity and defensive telemetry are correlated so that every behaviour is classified as detected, missed, or not observable with the instrumentation you have. Then it runs again, as your environment changes.
Each offensive action is matched against your defensive telemetry to determine whether the behaviour was detected, missed, or cannot be observed by the available instrumentation — giving you a precise map of detection gaps, not a generic maturity score.
Recurring assessments that adapt to changes in the environment, preserve investigation context between runs and progress toward advanced L5 autonomy — always within the limits of the authority granted.
Complete case management: findings, evidence and provenance, executive and technical reports, remediation guidance — and automated re-testing to confirm that fixes actually closed the gap.
Signature-based detection. Many findings, little proof of impact.
Tooling that speeds up a human tester.
Scripted checks on known patterns; a human drives every decision.
The AI plans and executes, pausing for approval at significant steps.
End-to-end assessment within an authorized scope — planning, verification and reporting — with guardrails and a complete audit trail.
Security data is the most sensitive data an organisation owns. AimThreat is architected so that it never has to leave your control — and so that every action the platform takes is authorised, bounded and auditable.
Designed for local inference, full data control and operation inside private infrastructure, with integration across multiple model providers — no lock-in to a single AI vendor.
Tenant and workspace separation, role-based access control, MFA, authorised scope and Rules of Engagement enforced at execution time, full auditability and operator control over what runs, where, and when.
Four steps from sign-up to a verified, continuously updated picture of your security posture.
Confirm ownership of the assets to be tested and sign the Rules of Engagement.
Define targets, boundaries, time windows and what is off-limits.
State the objective. AimThreat performs the assessment autonomously, logging every action it takes.
Get prioritised, evidence-backed findings, remediate, and let AimThreat confirm the fix.
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