Identify, prioritize, validate, and remediate your most critical security exposures. Risk quantified in dollars. Board presentations in one click.
0
Data Integrity Contracts
0
Policy Gates
0
API Routes
0
Credentialed Integrations
A continuous four-phase process that transforms exposure management from reactive patching to proactive risk reduction.
Discover and map your entire attack surface across cloud, identity, endpoints, and code.
Prioritize with AI scoring, quantify risk in dollars (FAIR ALE), simulate what-if scenarios, and predict exploits before they happen.
Remediation workflow with kill-switch guardrails and Jira sync. Passive validation of your external surface (TLS, security headers, DNS, service banners).
Compliance mapping with AI-assisted document review. Autopilot with automated escalation. Device trust scoring. Board-ready PPTX reports.
ROE-gated deep audits, coverage without blind spots, executive KPIs that survive CISO scrutiny, closure verification FSM, choke point prioritization and native asset classes — on top of risk in dollars, digital twin and passive validation.
Translate risk scores to dollars using FAIR methodology. ALE, remediation ROI, and compliance fine risk — the board speaks money, not CVSS.
ROE-gated pentest engine with 15 deterministic active tests (RBAC bypass, IDOR cross-tenant, JS secrets, info disclosure) + agentic LLM runner. Every finding carries CVSS/CWE/OWASP and flows directly into the CRI pipeline.
Explicit heatmap of which asset classes (workloads, SaaS, network, data) have live exposure sources. Confirms full attack-surface coverage before you declare posture.
MTTR by asset class, verified closure rate, SLA breach count, re-opened findings. Metrics that survive a CISO cross-examination — not scanner counts.
Simulate 'What if we patch this CVE?' before acting. See the expected loss change, per action, before you commit resources.
Re-scan state machine: OPEN → PATCHED → RE-SCAN → CONFIRMED_CLOSED. A finding is only closed after verification — not after the ticket closes.
CAIG graph identifies nodes where multiple attack paths converge. Fix where attack paths converge first — without touching low-value endpoints.
Workloads (containers + Cloud Run), SaaS apps (OAuth + AI tokens), network devices (firewalls), and data warehouses — first-class graph nodes with CRI scoring, not unclassified noise.
Passive checks (TLS, security headers, DNS, service banners) on up to 20 exposed assets per run. Detects drift against the baseline. Nothing is executed against your assets: this is not breach-and-attack simulation.
Generate a branded executive presentation in one click. Financial risk, predictions, compliance, recommendations.
6 analyzers, one per asset class — Server, Endpoint, Cloud, Workload, Identity, Data — every 24 h, with kill-switch guardrails and explainable findings.
18 data integrity contracts evaluated on your own platform, with scanner traceability — published as a health endpoint.
DETECT-VALIDATE-REMEDIATE-VERIFY loop with kill-switch guardrails and Jira sync.
Map exposures to the compliance controls loaded for your tenant. AI-assisted document review + automated escalation.
Interactive CAIG visualization. Entry points to crown jewels, choke points with gold rings, MITRE ATT&CK edge labels.
Role-based access (admin/analyst/viewer), tenant management UI and client onboarding.
Channels with the A3Sec SOC stack — EDR-lite, Detection Hub, CIS compliance, identity, posture. Same data, two views: exposure (CTEM) and detection (SOC).
Compliance frameworks
Risk quantified in dollars, ROE-gated deep audits and remediation that only closes after a re-scan.
Wiz covers cloud only. CTEM covers the full SENSE-DECIDE-ACT-VERIFY cycle including on-prem, identity, compliance, and autonomous remediation — with risk quantified in dollars.
Tenable scores by CVSS alone. CTEM uses multi-factor scoring (CVSS + EPSS + KEV + blast radius), quantifies ALE in dollars, and tells your CISO exactly how much money to invest and where.
CTEM creates a branded PPTX with financial risk, predictions, compliance posture, and AI narrative — in one click.
CTEM flags CVEs whose exploitation probability (EPSS) is rising fast, and lets you simulate remediation scenarios in a Digital Twin before committing resources.
CTEM's closure verification FSM re-scans after every remediation ticket — a finding reaches CONFIRMED_CLOSED only after a re-scan pass, not after the Jira ticket closes.
CTEM's DA program (ROE-gated deep audit) replaces ad-hoc manual pentests with 15 deterministic active tests + LLM reasoning, all scoped to an authorized surface — findings flow directly into the risk pipeline.
Talk to our team to learn how CTEM can help you identify, prioritize, and remediate exposures across your entire organization.