‍PLEASANTON, Calif. — AiStrike, the AI-native platform for autonomous security operations, today announced that it has been named a Leader in the IDC MarketScape: Worldwide Standalone AI SOC Platforms 2026 Vendor Assessment (Doc #US54127026, September 2026). We believe this recognition reflects how AiStrike helps organizations build on their existing security investments to move toward an autonomous SOC, one that defends at AI speed and learns from every outcome.

Attackers are using AI to move faster, probe more surfaces, and hide in the noise. SOC teams can't answer that by adding headcount or tuning more rules by hand. AiStrike was built on a simple premise: AI threats need AI defense, and the SOC has to keep getting better at preventing, detecting, and responding to threats, not just faster at triaging alerts.

The IDC MarketScape noted, "AiStrike suits organizations that want to augment an existing SIEM, EDR, and identity stack rather than replace it, particularly teams frustrated by alert-fatigue-driven false positives and looking for a platform that closes detection gaps at the source instead of only processing the alert queue faster."

“We believe being named a Leader validates the direction we’ve taken from the beginning,” said Nitin Agale, Founder and CEO of AiStrike. “The autonomous SOC isn’t just about investigating alerts faster. The goal is to reduce threat exposure, which means learning as threats evolve, hunting and acting before alerts fire, and turning every investigation outcome into better detections. That’s what we built AiStrike to do.”

Building the Autonomous SOC

AiStrike uses threat intelligence to understand emerging attack patterns, proactively hunt for threats that may already be present, and identify and close gaps in detection coverage. The same intelligence and context power autonomous investigation and governed response, with each investigation outcome feeding back into a closed loop that continuously strengthens defenses.

The IDC MarketScape highlights AiStrike’s strengths:

• Closed-loop detection engineering rather than queue processing. AiStrike continuously measures the efficacy and MITRE ATT&CK coverage of a customer’s existing detection rules, identifies noisy or ineffective rules and coverage gaps, and can generate, tune, test, and deploy new or corrected detections directly back into the customer’s SIEM or EDR.
• Evidence-backed investigation with a retained audit trail. Every alert triggers a multistage investigation that enriches, correlates, and models activity against MITRE ATT&CK before producing a verdict, confidence score, and rationale, with the underlying queries, data sources, correlations, and evidence preserved so analysts can validate how the platform reached its conclusion rather than accept an opaque AI output.
• Governed, no-code custom agent building. Build-Your-Own AI Agents is an important capability, letting customers combine deterministic and generative sub-agents, choose or bring their own LLM to balance precision against reasoning flexibility, and govern each agent through role-based permissions and tiered, risk-based approval controls.
• A prioritized opening screen backed by continuous drift detection. The opening screen surfaces a posture-based risk score drawn from vulnerabilities, exposures, attack-surface findings, and unmanaged devices, and orders alerts through a five-stage pipeline, enrichment, behavioral analysis against learned baselines, correlation into a composite incident mapped to MITRE ATT&CK, exposure and blast-radius analysis, and an evidence-backed verdict, so analysts work the most urgent case first.‍
• Dual-mode, closed-loop threat hunting. Intelligence-driven hunts run automatically as new IOCs and TTPs arrive from more than 70 threat feeds and AiStrike’s Emerging Threat Encyclopedia, while hypothesis-driven hunts let an analyst pose a natural-language question, such as suspected credential abuse or lateral movement, to the Opal AI assistant and receive federated results across SIEM, EDR, cloud, and identity sources without centralizing raw telemetry.

To learn more about why AiStrike was named a Leader in the IDC MarketScape: Worldwide Standalone AI SOC Platforms 2026 Vendor Assessment, visit.

About IDC MarketScape

IDC MarketScape vendor assessment model is designed to provide an overview of the competitive fitness of technology and service suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each vendor’s position within a given market. IDC MarketScape provides a clear framework in which the product and service offerings, capabilities and strategies, and current and future market success factors of IT and telecommunications vendors can be meaningfully compared. The framework also provides technology buyers with a 360-degree assessment of the strengths and weaknesses of current and prospective vendors.

About AiStrike

AiStrike is the AI Control Plane for Autonomous Security Operations. It helps organizations hunt for emerging threats, investigate alerts autonomously, govern response, and turn every investigation into better detections, moving security teams from reactive operations toward proactive, autonomous cyber defense. Learn more at www.aistrike.com.

Media Contact

Justicia Latham
jlatham@aistrike.com