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Frontier builds Defensive Superintelligence for enterprise detection

Waypoint 01 · Before

Rule‑based detection doesn’t scale

Enterprises rely on static rules, signatures and manually authored detection logic as their first line of defense. Even with detection‑as‑code, that approach is reaching its limit. Every rule still has to be researched, mapped to a technique, written, tested and tuned, a lifecycle that can’t keep pace with the rate at which attackers using AI uncover new vulnerabilities. Fixed‑logic rules and signatures are typically limited to previously observed TTPs, and can miss multi‑stage attacks, subtle lateral movement and new techniques like those launched by adaptive AI agents. As attackers scale with AI, a detection stack built one rule at a time can’t keep up.

+246% CVEs

CVE publications rose 246% in a year, from 4,321 in September 2025 to 14,943 in September 2026.

NVD, via Jerry Gamblin’s monthlyCVEStats

<1 day to exploit

The average time from CVE publication to first public exploit fell from 125 days in January 2025 to half a day by April 2026.

Cogent Research, 2026 Q2 Detection Gap Report

01.001 · detection_gap.yaml

Live

THREAT ADVISORY TLP:CLEAR

Severity: HIGH

PROBLEM

CVE publications rose 246% in a year, from 4,321 in September 2025 to 14,943 in September 2026. The average time from CVE publication to first public exploit fell from 125 days to half a day.

Sources: NVD via monthlyCVEStats; Cogent Research

title: Attacks logged, but not alerteddescription: Fewer than 1 in 7 attacks reached the security teamdetection:  attacks_logged: 58%  attacks_alerted: 14%  condition: logged and not alertedlevel: highsource: Picus Security, Blue Report 2026

Alerted14%Logged58%

Source: Picus Security, Blue Report 2026

AI attacks scale faster than detection logic and break known patterns

Waypoint 02 · Defensive Superintelligence

Detection posture management, powered by Defensive Superintelligence

Frontier provides a platform for detection posture management powered by proprietary Defensive Superintelligence (DSI) models.

  1. FrontierRules you already run
  2. BridgeProven fixes
  3. VisionModels over the data where it lives
  1. Purpose‑built for defensive cybersecurity.

  2. DSI combines advances in mathematical reasoning and formal verification with security‑specific training, anomaly detection and agentic evaluation.

  3. DSI capabilities enable security agents to analyze complex security signals, identify gaps in detection coverage and build and validate detections for attacks that conventional, rule‑based defenses miss.

Organizations can scale their defenses as AI‑driven threats evolve