Key Takeaways
- Detection Skills is an open standard that captures expert cyber‑defense judgment as a self‑improving, agentic loop across detection, triage, and investigation.
- The standard enables security teams to encode their reasoning once and apply it at AI speed to every alert, dramatically reducing MTTD/MTTR and false positives.
- Built on the Agent Skills framework (originally from Anthropic), Detection Skills works alongside existing SIEMs, data lakes, and cloud storage without requiring data migration.
- Vega’s reference implementation on the Security Analytics Mesh (SAM) runs the full loop directly on an organization’s data, providing a live, auditable workflow.
- Early adopters report tighter control over AI decisions, trusted alert queues, and the ability to scale expertise during peak attack periods.
- The standard is freely available at detectionskills.io and within the Vega platform, with a launch showcase at Black Hat USA 2026 (booth 3452).
Detection Skills: A New Open Standard for AI‑Era Cyber Defense
Vega, the creator of Agentic Cyber Defense, unveiled Detection Skills as an open standard designed to modernize security operations for the age of AI‑driven threats. The framework captures a team’s expert judgment and turns it into a self‑improving agentic loop that spans detection, triage, and investigation. By publishing the standard openly—or offering it natively within Vega’s best‑in‑class platform—Vega aims to let any Cyber Defense Engineer encode their reasoning once and then scale it across every asset they protect. The core promise is simple: give organizations a repeatable, auditable way to answer the pressing question, “Can our defense keep pace with AI?”
Why Legacy SIEMs Fall Short Against AI‑Powered Attacks
Frontier AI has radically altered the economics of cybercrime. Intrusions that once required skilled teams weeks to plan and execute can now be generated and launched in minutes by autonomous models that break containment and adapt on the fly. Traditional SIEMs, built on static rule sets, can only recognize patterns they have seen before. In a threat landscape where attacks are constantly generated rather than repeated, these defenses inevitably lag, producing alert fatigue and missed breaches.
From Static Rules to AI Reasoning: The Detection Skills Model
Just as Sigma standardized the traditional detection rule format, Detection Skills represents the next evolution for AI‑first cyber defense teams. A common pain point is the disconnect between the engineer who creates a detection and the analyst who triages it at 2 a.m.; valuable context is lost in the handoff. Detection Skills solves this by embedding triage, investigation, and optimization directly into the detection itself, using the Agent Skills framework originally pioneered by Anthropic. The result is a portable reasoning package that travels with every alert, ensuring that the same expert judgment is applied consistently and transparently.
Core Capabilities Enabled by Detection Skills
Detection Skills delivers three primary benefits to security teams:
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Detect and decide at AI speed. When a detection fires, triage and investigation run automatically, slashing mean‑time‑to‑detect (MTTD) and mean‑time‑to‑respond (MTTR). Only the most relevant alerts reach a human analyst, accompanied by a finished, evidence‑backed workbook that explains the AI’s reasoning.
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Scale cyber defense expertise. A skill authored once can be applied to every alert—known or unknown—without duplication of effort. Engineers retain full visibility and control: they can see exactly what the AI checked, why it made a decision, and must approve any changes before they take effect.
- Adopt without disruption. The standard is designed to work alongside existing security investments. It launches with an Agentic Detection Library containing over 50 pre‑built skills from Vega Research and partners, a sandbox for building, testing, and exporting spec‑compliant detections, and a GitHub repository for community contributions.
Reference Implementation: Vega’s Security Analytics Mesh
Vega proved Detection Skills in production on its Cyber Defense Platform, which serves as the standard’s reference implementation. The platform is built on the Security Analytics Mesh (SAM), a architecture that runs detection, triage, investigation, and tuning directly on data where it resides—whether in cloud object storage, legacy SIEMs, or data lakes—without requiring data migration or incurring ingestion taxes. This approach eliminates the latency and cost associated with moving data to a central repository, allowing the agentic loop to operate at the speed demanded by AI‑era threats.
Real‑World Impact: Voices from Early Adopters
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Rushmere Fernandes, Deputy CISO, Peloton – “We encoded our own triage logic exactly as our team works an alert, not a generic playbook. Each skill gives us explicit control over what the AI checks, escalates, or dismisses. The result is a queue we trust: fewer false positives and every verdict arrives with its reasoning attached.”
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Shawn McGhee, CISO, Exemplar Luxury Group – “Retail runs on peak moments, and attackers know exactly when those are. Detection Skills gives us leverage we can plan around: the expertise is written down, it runs on every alert, and it holds up when volume spikes. We’re adopting it and sharing what we learn because no security team should have to rebuild this work alone.”
- Lamont Orange, CISO & Trust Officer, Cyera – “Defenders have never faced a moment like this: attackers are compounding capability, and for the first time we can compound ours. An open standard for how detection decisions get made—auditable, transparent, shared—is how trust gets built at industry scale. Adopting Detection Skills and helping shape it is what good digital citizenship looks like in the AI era.”
These testimonials highlight the practical advantages of Detection Skills: reduced noise, faster, more reliable decisions, and the ability to institutionalize expert knowledge so it benefits the entire organization and the broader security community.
Availability and Community Engagement
The full Detection Skills framework is live today at [detectionskills.io] and within the Vega platform. Interested parties can view the announcement blog post at [vega.io/blog/vega-introduces-detection-skills] and request a live demo via [vega.io/get-a-demo]. Vega will also showcase the standard at Black Hat USA 2026 in booth 3452, offering hands‑on sessions and opportunities for contributors to share their own skills on the public GitHub repository.
About Vega
Founded in 2024, Vega is the pioneer of Agentic Cyber Defense. Its platform runs on the Security Analytics Mesh, enabling detection, triage, investigation, and tuning directly on an organization’s data wherever it lives—eliminating the need for data migration or centralized ingestion. Backed by Accel, Cyberstarts, Redpoint, and CRV with $185 million in funding, Vega protects Fortune 200 enterprises, global banks, and leading healthcare providers.
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