Sequretek Launches Percept CTEM to Redefine Continuous Threat Exposure Management with AI Precision

Mumbai, 25 June 2025 — Sequretek, a global frontrunner in AI-driven cybersecurity, has unveiled Percept CTEM, its latest SaaS platform designed to eliminate blind spots and proactively manage cyber risk across every asset in the enterprise environment.

Built on the belief that every asset matters, Percept CTEM delivers comprehensive visibility and continuous risk prioritization across the full digital attack surface—enabling organizations to detect exposures before they evolve into threats. By combining business-contextualized AI with intelligent remediation, the platform marks a leap forward in Continuous Threat Exposure Management (CTEM).

“Too often, it’s the overlooked assets that become entry points for major breaches,” said Pankit Desai, CEO and Co-Founder of Sequretek. “Percept CTEM ensures no asset is left behind—providing real-time validation and mitigation so you’re never caught off guard.”

Why Percept CTEM Stands Out

• AI-Augmented Visibility: Maps the full asset landscape and assesses risk in real time
• Business-Aware Prioritization: Sorts vulnerabilities based on actual business impact
• Proactive Remediation: Delivers automated mitigation paths and recommendations
• Zero Blind Spot Integration: Seamlessly overlays existing tools, including Sequretek’s Percept suite (XDR, NG SIEM, Identity, EDR, and Compliance Manager)

According to Gartner, organizations implementing CTEM frameworks by 2026 will be three times less likely to suffer a breach. Percept CTEM aligns with this insight by offering “Every Asset. Every Moment. No Surprises.” It moves beyond traditional threat detection, treating every endpoint—not just high-value assets—as a potential risk vector.

Designed for integration and agility, Percept CTEM brings a unified view across fragmented systems, empowering CISOs and IT teams to evolve from reactive defense to proactive cyber resilience.

For more detailed understanding on PCTEM please check this video: