Quantum-AssistedOffensive Security
We simulate real-world threat actors to identify, chain, and validate exploit paths across your environment.
Delivered as an operator-led red team engagement or as an autonomous engine integrated directly into your pipeline, we provide complete exposure visibility before adversaries can exploit it.
Predator
Console reproduced from the shipped PREDATOR engagement terminal. Target and authorization reference shown are illustrative.
System breach illustration
We run it against your live infrastructure.
Operator-led red team running complex threat modelling across your entire production stack — OSINT, network, and live-target exploitation mapped to 359 ATT&CK chains, with remediation included.
You run it against your own code.
The +3.08 vulnerability/fix separation engine, scoped to software analysis — finds the complex chained vulnerabilities a standard red team would otherwise miss. Provisioned per organisation.
Access
Contact us
Limited access. Provisioned to a small number of approved organisations under agreement.
How an engagement works
+3.08
Vulnerability Detection Score
What this measures
The engine was benchmarked against established CVE datasets containing real vulnerable code and the actual patches that fixed it. Instead of testing on synthetic examples, it measures whether the system can reliably distinguish vulnerable code from its corrected version.
A score of +3.08 means the engine creates a strong statistical separation between vulnerable and patched code. A traditional baseline on the same benchmark shows little or no meaningful separation.
This score reflects the capability of the vulnerability detection engine itself — it is not a prediction of how many findings will be discovered during a specific customer engagement.
Why it matters
Detects known vulnerability patterns more reliably
Prioritises exploit chains by likely real-world impact
Focuses remediation on the code most likely to introduce risk
Maps findings to MITRE ATT&CK techniques for investigation and response
Candidate selection runs on live IBM Quantum hardware rather than a simulator.
Complete ATT&CK campaign coverage
Predator models complete attack chains across the MITRE ATT&CK Enterprise framework, from reconnaissance through impact, and extends that coverage to prompt and model-level AI attacks.
359
Attack chains modelled
15
Coverage areas
100%
Enterprise ATT&CK tactics
Kill-chain order
Reconnaissance → Impact · click any tactic
AI Injection extends the ATT&CK framework with techniques targeting prompts, context windows, retrieval systems, tool use, and model behaviour — surfaces the matrix does not yet formally represent.
What you receive
- Executive report
- Technical findings
- Validated exploit chains
- Remediation roadmap
- Risk prioritisation
When you need it
- Before a compliance audit
- Before acquisition or diligence
- Before a production launch
- Following a breach
- After major infrastructure changes
- Annual security validation
Built for
- Enterprise security teams
- Cloud-native SaaS
- Critical infrastructure
- Defense contractors
- Financial services, healthcare
- Government suppliers
Predator runs only against assets you own or are authorised to test. Engagements open with 2–4 weeks of scoping before any testing starts.
Powered by
The engine underneath
Modelling campaigns of this length needs a language to describe them and somewhere to keep the thread. Both layers are open source, so the claim is checkable rather than asserted.
NanoAether’s DSL for AI systemsA structured campaign DSL that models complex adversary behaviour — the language an engagement is described in, rather than a prompt it is improvised from.Unlimited ContextPersistent execution engineMaintains state across long-running campaigns instead of resetting context between steps — one coherent window from reconnaissance through impact.Aether Protocol
All of Aether Security runs on our Protocol
Every engagement action and every rotation is signed and timestamped as it happens — a record built to be checked later, not a log somebody could edit.
Aether Scrambler · Defense
So how do you defend against Predator?
Predator wins by chaining — deep threat modelling, and persistence that outlasts your attention span. All of it depends on one assumption: that what it mapped is still where it left it. Scrambler removes the assumption. Your production sits behind a rotating mesh drawn from over a billion possible layouts — by the time an adversary finishes mapping the one they found, it is already gone.
Why this matters
A human attacker can spend weeks mapping your infrastructure. Predator does it in minutes. Neither matters if the map expires before it can be used.
By continuously rotating the attack surface, reconnaissance becomes temporary instead of persistent. Attackers must rediscover the environment every cycle instead of building on months of accumulated knowledge.
Not a replacement for your edge provider. Cloudflare protects the edge; Scrambler changes what is behind it.
Rotation, illustrated
Protection score 948Example topology, not real infrastructure. The attacker resolves a node; the node rotates away before the strike lands.
What that changes for the attacker
Static infrastructure
Reconnaissance keeps its value
With rotation
Reconnaissance expires every cycle
948
Protection score
Infrastructure that won’t sit still
Every endpoint continuously changes its network identity, making reconnaissance, fingerprinting, and targeting significantly harder.
The Protection Score measures how effectively the rotating infrastructure disrupts attacker visibility. Higher scores mean attackers have less time to observe, correlate, and reuse information before the environment changes.
Continuously validated
The same telemetry that measures the defense is used by Predator to attack it. Every improvement to the offensive engine makes the defensive score harder to achieve.
1B+
Possible layouts
Every rotation creates a new attack surface
Every infrastructure rotation produces a new network layout. By the time an attacker finishes mapping one environment, it has already changed.
Rotation schedules are derived from measurements on IBM Quantum hardware, making future layouts unpredictable from previous observations.
What that costs an attacker
- Previous scans become stale
- Infrastructure fingerprints expire quickly
- Automated reconnaissance must restart
- Attackers pay the discovery cost every rotation
Choose your deployment
Deploy anywhere
- Works behind your existing CDN
- No DNS changes
- No application changes
- Automatic failover
Built for SaaS, financial services, critical infrastructure and high-value APIs.
First Fortress client: 3 months at $500/mo with case study agreement.
FAQ
Questions Security Teams Ask
The things that come up on the first call, answered without hedging.
Predator
Scrambler
Platform and procurement