AI is accelerating the cybersecurity arms race—and not in the defenders’ favor. With exploit windows shrinking from weeks to hours, CISOs are under pressure to identify real exposures faster, prioritize what truly matters, and prove progress to boards that expect measurable outcomes. CYE, a cyber exposure management company known for its offensive-first approach, thinks it has the answer.
The company has rolled out a suite of new features and launched a full AI Security Assessment program designed to help enterprises navigate AI-driven threats and increasing operational complexity. The expansion builds on a year of rapid growth for CYE, including its acquisition of Solvo, major updates to its exposure management platform, a new partnership with ALSO Group, and the first public release of its AI agent, CYE AI.
“The next phase of cybersecurity will be defined not just by how well organizations defend themselves, but by how fast they address their most likely exposures,” said founder and CEO Reuven (Rubi) Aharoni. “Teams need business-mapped visibility that accelerates remediation, demonstrates progress, and avoids audit surprises.”
In other words: speed is becoming the new metric of maturity.
AI Is Shortening the Threat Window—CYE Wants to Shorten the Fix Window
To keep pace with AI-accelerated attackers, CYE is introducing features that blend automated intelligence with human expertise—the combination that enterprises increasingly need as attack surfaces expand and detection-vs.-remediation gaps widen:
CYE AI: Conversational Remediation Intelligence
The company’s new AI agent analyzes exposure data, benchmarks against industry models, and generates tailored mitigation plans based on an organization’s business environment and most likely attack routes.
Security teams can ask plain-language questions like “What’s our fastest path to reducing breach likelihood?” and get actionable, context-rich guidance within seconds.
The goal: turn “insight to action” into a near-instant motion.
AI Security Posture Management
This new program assesses three layers of AI risk:
- Enterprise-wide AI adoption
- AI and LLM use across the software development lifecycle
- Security posture of internally developed large language models
Delivered by CYE’s nation-state–grade experts, it’s essentially a governance-plus-technical evaluation—something many organizations still struggle to structure internally.
AI Governance With ISO/IEC 42001 Mapping
With the world’s first AI management system standard gaining traction, organizations suddenly need a way to understand what compliance actually looks like.
CYE maps ISO/IEC 42001 to the NIST CSF, turning governance language into concrete controls, maturity scores, and readiness indicators for looming global regulation.
Industry Attack Graph
CYE’s new graph delivers immediate visibility into the most probable attack routes affecting a specific industry—healthcare, finance, manufacturing, and more—using real data, not hypothetical models.
Organizations can upload internal assessments, configuration data, and asset inventories; CYE’s system auto-maps them to the graph, quantifies exposure, and prioritizes remediation tasks.
It’s like a sector-specific breach playbook—customized automatically.
Risk-Analysis Dashboard
A redesigned dashboard offers speed-to-insight by showing:
- Exposure trends and maturity
- Likelihood of exploitability
- Cost-of-breach modeling
- Compliance comparisons (including NIST)
- Root-cause analysis for major events
It’s built for outcome-driven reporting—something CISOs increasingly need now that 70% report directly to the board, according to CYE’s VP of Innovation, Nimrod Partush.
CISOs Are Now Board-Level Leaders—and This Tools Strategy Reflects That
As cybersecurity becomes an enterprise-level risk, CISOs are expected to justify budgets, demonstrate ROI, and articulate their exposure in business terms—not security metrics. CYE’s platform is clearly aimed at that shift: data-rich, business-aware, and structured for transparency.
Partush says the company’s new capabilities deliver a “speedy, data-driven dynamic approach,” allowing CYE to advise customers on the most effective activities to reduce risk—not just the most urgent alerts.
That distinction matters. With AI-generated exploits emerging faster than patch cycles, relevance and prioritization are becoming the central challenges of cyber defense.
The Bigger Trend: AI Is Forcing Exposure Management to Evolve
CYE’s 2025 developments align with what’s happening across the industry:
- Attackers are using AI to automate reconnaissance and exploit generation.
- Enterprises are deploying AI faster than they can secure it.
- LLMs introduce new risks—from prompt injection to model poisoning—while creating entirely new attack surfaces.
- Boards expect quantification—not just detection.
Tools that map exposures to business impact, simulate attack paths, and tie risk to cost are becoming essential, not optional.
CYE’s approach positions it as a contender in the increasingly hot market for exposure management platforms—competing with players pushing ASM, CTEM, and AI-first risk quantification solutions.
The company’s recent acquisition of Solvo also gives it deeper cloud-native security capabilities, making its platform more comprehensive at a time when cloud misconfigurations remain one of the most common breach vectors.
The Bottom Line
CYE is betting that the future of cybersecurity hinges on faster, more contextual remediation, driven by AI and guided by human expertise. Its new features aim to close the widening gap between detection and action—before attackers exploit it.
And in a year defined by LLM sprawl, regulatory pressure, shrinking exploit windows, and rising board scrutiny, that pitch is likely to resonate.
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