Threat-informed scenarios
Use AI-driven research and emerging global attack techniques to refresh hypotheses around your environment, its exposure and critical assets.
Attackers evolve. Your validation should too. Akita's AI-powered Continuous Red Teaming combines specialist-led execution with tools developed and adapted to emerging global attack techniques. We assess plausible routes towards critical assets, validate controls within agreed boundaries and turn the evidence into clear remediation priorities.

The useful question isn't how many findings a tool produces. It is whether an attacker has a viable route to something your business cannot afford to lose — and whether your defences hold at the decisive points.
Use AI-driven research and emerging global attack techniques to refresh hypotheses around your environment, its exposure and critical assets.
Specialists develop and adapt tools to relevant attack vectors and agreed testing boundaries. AI-assisted research supports the work; expert oversight remains accountable.
Agree authorisation, operational safeguards, escalation points and evidence handling before scenarios begin.
Show routes assessed, steps prevented or validated, responsible owners and the retest needed to verify improvement.
Agree crown-jewel assets, business impacts, authorised systems and what testing must never disrupt.
Identify starting points and trust boundaries, then prioritise the routes worth examining.
Carry out controlled scenarios and distinguish observed facts from attack hypotheses.
Prioritise fixes, agree owners and retest changes, using results to inform the next cycle.
Begin with a scoped engagement that establishes where risk may be reachable — without committing to a broad programme before you have useful evidence.
Use attack-route evidence to focus remediation and control priorities.
Test assumptions across cloud, identities, networks, applications and changes.
Understand how controls behave under realistic and authorised scenarios.
Scope specialist testing within an agreed partner delivery model.
Receive a decision summary, attack-route diagrams where useful, observations, control outcomes, prioritised recommendations and an agreed validation plan. Materials and frequency reflect the engagement scope.
Yes. A point-in-time assessment examines an agreed scope; Continuous Red Teaming is designed to revisit attack hypotheses as exposure and controls evolve. Frequency is agreed with the client.
Avoiding disruption is an objective, with safeguards and potentially disruptive actions explicitly authorised or replaced by safer alternatives.
That is useful evidence. We document which controls prevented progress, remaining uncertainty and suitable scenarios for future testing.
No. AI-assisted research and adaptable tooling support specialist-led validation with accountable human oversight.
Yes. Client stakeholders help select assets, prioritise findings and own remediation according to an agreed model.
Bring your critical assets, operational constraints and the decisions you need testing to inform.