Security operations that move at the speed of modern threats
valkyre.ai unifies authorized penetration testing, continuous defensive visibility, and AI-assisted security analysis in one governed workspace — so your security program becomes a continuous improvement system, not a disconnected event.
Red, blue, and purple — without blurring responsibilities
Offensive validation and defensive intelligence report to the same engagement and evidence model, while their operational controls stay explicit and separate.
Authorized security assessments
Create and manage complete, scope-bound engagements from a single cloud platform: assets, time windows, permitted test types, exclusions, contacts, and approval requirements governing every activity.
From engagement planning and attack-surface intelligence through validation, evidence, reporting, and retesting — the full lifecycle in one place.
Continuous blue-team awareness
Mythos Defense maintains visibility after the assessment ends — combining platform integrations, asset context, logs, threat intelligence, and optional on-premises telemetry into credibility-aware alerting.
Evidence-based, confidence-scored conclusions built to support analyst judgment, not replace it.
Purple-team learning loop
Use assessment results to improve monitoring. Use defensive telemetry to prioritize the next assessment. Understand how risk moves across external and internal boundaries.
Point-in-time testing becomes a measurable, continuous program.
Every operation tied to an engagement, a scope, and an evidence record
Security testing that is easier to govern, easier to explain, and more useful to the teams responsible for remediation.
- Engagement planning
Establish scope, rules of engagement, data-handling requirements, and customer approvals.
- Attack-surface intelligence
Gather authorized OSINT, map public exposure, enumerate assets, and identify technology and cloud footprints.
- Validation
Coordinate vulnerability assessment and controlled proof of exploitability within the approved scope.
- Evidence & findings
Collect attributable evidence, reduce false positives, prioritize risk, and map findings to recognized frameworks.
- Reporting & retesting
Generate technical and executive deliverables, track remediation, and verify fixes before closure.
$ valkyre engagement status ENG-2026-041 scope external + internal (hybrid planes) window 2026-08-03T00:00Z → 2026-08-17T00:00Z authorization VALID · signed · emergency-stop armed ────────────────────────────────────────── ✓ attack-surface map 142 assets enumerated ✓ validation queue 31 candidates → 9 confirmed ▲ finding VLK-0197 critical · CVSS 9.1 · ATT&CK T1190 ✓ evidence chain intact · 100% attributable … retest scheduled pending remediation
14:02:11 baseline no drift · 3 sites · 11 sensors 14:07:36 tripwire interaction on decoy share FIN-ARCHIVE 14:07:38 correlate same source · new SMB session · off-hours 14:07:41 alert credibility 0.94 · evidence: 4 signals 14:07:41 narrative incident timeline drafted for analyst review 14:09:02 verified threat intel matched · authoritative source
Visibility that stays when the assessment ends
Built for AI-accelerated security operations: more automation, more noise, and a greater need to distinguish reliable signals from plausible-looking but unverified information.
- Passive network observation and baseline awareness
- Early-warning tripwires and authorized deception controls
- Detection of unexpected exposure and trust-boundary weaknesses
- Incident timelines, evidence correlation, and credibility-aware alerting
- Threat-intelligence validation against authoritative sources
- Human-readable incident and remediation narratives
Meet Einheri — the engagement asset that becomes a long-term sensor
An optional, AMD-based edge appliance that securely extends valkyre.ai into an authorized customer environment. Traditional assessment infrastructure leaves when the engagement ends; Einheri stays on as defensive value — with mutual-TLS connectivity, fleet management, and centralized audit.
Assessment node
Executes approved, scope-bound internal assessment tasks during an active engagement.
Network sensor
Observes authorized telemetry, establishes baselines, and reports meaningful changes.
Tripwire & deception point
Hosts approved early-warning controls that surface suspicious interaction.
Response support node
Provides authenticated, audited local access for approved investigation and response.
AI is an assistant, not an unrestricted operator
The AI layer builds engagement-scoped test plans, prioritizes findings, enriches evidence, correlates signals, and produces clear executive and incident narratives. Every recommendation is checked against the active engagement scope and policy controls — and high-impact actions require explicit human approval.
Authorization first
No active customer-environment work begins without valid engagement authorization, scope, and operating rules. Policy is re-checked at the point of execution.
Clear separation of duties
External and internal assessments use distinct execution planes. Findings correlate across them; operational controls remain explicit.
Human accountability
Sensitive actions are governed by policy and approval gates. Approvals, denials, overrides, and stop events are recorded.
Evidence by design
Actions, results, and access events are recorded to support customer communication, reporting, and audit.
Secure connectivity
Strong identity controls, encrypted communications, and auditable access paths across cloud, devices, and operators.
Customer control
Engagement terms, data-handling agreements, retention choices, and operating boundaries stay central. The core pipeline works without depending on any AI provider.
Built for teams that need security to be continuous and measurable
- Internal security teams that need more than annual point-in-time testing
- Managed security and consulting teams running multiple governed engagements
- Organizations with hybrid, distributed, or difficult-to-observe environments
- Blue teams seeking stronger local context and early-warning capabilities
- Leaders who need clear risk narratives, evidence, and remediation progress
Know your exposure. Validate your defenses. Keep learning between engagements.
Assessments reveal what is exposed. Local sensors preserve awareness. Defensive telemetry improves prioritization. AI helps teams make sense of the evidence. Governance keeps every action accountable.
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