Chimera Secured detects Business Email Compromise by fingerprinting how each person actually writes — not what they say, but how they say it. When an attacker takes over an inbox, the writing changes. We catch that.
Business Email Compromise doesn't trip firewalls, bypass MFA, or exploit CVEs. The attacker writes an email from the real account asking for a wire transfer. Traditional security tools see a legitimate email from a legitimate sender — and let it through.
Chimera Secured asks a different question: does this email sound like the person who owns this inbox?
No single signal catches every attacker — especially not the sophisticated ones. Chimera Secured runs three orthogonal analysis layers on every outbound email, each designed to fail differently, and composes them through a proprietary ensemble calibration engine that weights each signal against the content context of the message. The same weak signal produces opposite verdicts depending on whether the email is about lunch or a wire transfer.
This isn't a policy promise — it's an architectural constraint enforced at the deployment layer. The analysis engine runs entirely inside your Microsoft 365 tenant. The only artifact that crosses your boundary is an abstract behavioral fingerprint that cannot be reverse-engineered back into email content. There is no endpoint, no path, and no configuration flag that changes this.
Chimera Secured deploys as a containerized service inside your existing Microsoft 365 infrastructure. No browser extensions, no email forwarding, no MX record changes. Your team controls the deployment, the thresholds, and the rollout phases.
Every deployment starts in log-only mode. Chimera scores every outbound email silently so your team can review detection accuracy on real traffic before any user-visible action is taken. You decide when to escalate to warn or enforce.
Real-time visibility into detection patterns, per-user behavioral profile health, false-positive rates, and content-risk distribution. Every verdict is explainable — your SOC can see exactly which layers fired and why.
Finance and executives get stricter thresholds. General staff get lighter-touch detection. Your security team configures per-group policies that match your organization's actual risk surface — not a one-size-fits-all gate.
Email bodies never leave your tenant — not to our servers, not transiently, not for debugging. The deployment model makes leakage structurally impossible.
Three independent analysis layers feed a proprietary ensemble calibration engine. Weak style signals on a wire transfer and weak style signals on a lunch email produce opposite verdicts — because the ensemble weights every signal against the content context of the message.
Every component ships in log-only mode first, earns its way to warn mode, and only gets enforcement rights after sustained real-world calibration.
Adjust the sliders to match your organization. All figures based on FBI IC3 2025 data and industry averages.
Detection claims are easy to make and hard to prove. We don't ship confidence intervals from a friendly dataset. Every Chimera Secured model version passes a five-stage adversarial evaluation pipeline — from naive impersonation through state-of-the-art generative attacks — before a single byte reaches your tenant.
Models are evaluated against a holdout corpus spanning 150+ distinct writers with diverse communication patterns — formality ranges, industry domains, message lengths. No writer present in training ever appears in evaluation. This prevents overfitting to specific writing populations.
We don't just test against random attackers. Our evaluation generates impersonation attempts at five escalating sophistication tiers — from zero-context template attacks through few-shot stylistic mimicry, retrieval-augmented generation with the target's own email history, and multi-model ensemble attacks where multiple LLMs collaborate to break the detector.
A detector that says "90% confidence" had better be right 90% of the time. Every release undergoes multi-method calibration verification — including proprietary content-conditional recalibration — across all content-risk categories. Calibration curves are tested independently for high-risk content (wire transfers, credential sharing) and low-risk content — because miscalibration in different risk zones has radically different consequences.
Blocking a legitimate CEO email is worse than missing a low-risk attack. Every model version is stress-tested against edge cases designed to trigger false positives: high-context-switching writers, bilingual communicators, ghost-written messages, and emotionally charged content that temporarily alters a person's writing pattern. The model must hold below threshold on all categories.
No model version ships if it regresses on any prior attack tier. The evaluation pipeline runs fully automated per-commit, comparing AUC, catch-rate-at-fixed-FPR, and calibration metrics against the last three released versions. A single regression on any metric blocks the release pipeline automatically — no human override, no exceptions.
Book a 30-minute demo and we'll show you Chimera Secured detecting impersonation attacks in real time — using your writing style as the baseline.
No commitment required. Pilot slots available for qualifying MSP partners.