Astelia Aims to Tame the Alert Avalanche with Targeted AI

Sunil Kotagiri spent twenty years watching cybersecurity teams buckle under an impossible workload. After a long career at Cisco, he left last year to found Astelia, betting that artificial intelligence could solve the industry's most persistent human problem: alert fatigue. The startup recently secured seed funding in a venture climate far more demanding than the boom times of the early 2020s.

Kotagiri's premise is simple. Security tools flood analysts with thousands of daily alerts, most meaningless. With a global shortage of millions of cybersecurity professionals, teams are overwhelmed, leading to slow responses and burnout. Astelia's platform uses AI models trained on security data to automatically sort, investigate, and prioritize these alerts. The goal is to handle the routine work, freeing human experts for actual threats.

Raising capital required persistence. Kotagiri recounted over one hundred investor meetings, noting that a compelling vision alone is no longer enough. Investors now demand early evidence of a product's real-world function. He advises founders to cultivate investor relationships early and enter meetings with a working prototype or early user feedback.

Astelia enters a crowded field. Investment in AI security has soared, with established giants and numerous startups all promising intelligent solutions. Kotagiri argues Astelia's focus is its strength; instead of building another all-in-one suite, it specifically automates alert triage. This addresses a documented crisis. Recent industry surveys show nearly 70% of analysts cannot manage their daily alert volume, fearing critical threats are lost in the noise.

Enterprise buyers remain cautious, often keeping AI in an advisory role. Astelia's strategy is to build trust gradually, allowing the AI to handle low-risk alerts first. Broader trends play to the company's advantage. Stricter global regulations demand faster incident reporting, while the unyielding talent shortage makes tools that amplify existing staff essential. For Kotagiri, the next phase is clear: prove the technology delivers measurable results for early customers, turning technical promise into operational relief.

Source: Webpronews