MANILA, Philippines (August 2026) — Hidden cyberattacks are quietly plaguing local networks, with a newly uncovered visibility gap from global cybersecurity firm Kaspersky revealing that 52% of high-severity breaches go completely undetected for more than 90 days. Some of these stealthy intrusions even last as long as four years before being discovered.
As organizations across the Philippines rush to adopt artificial intelligence, cybercriminals are matching their speed by launching AI-native attacks. Security researchers recently identified more than 15,000 malware samples disguised as agentic AI software, creating dangerous new entry points for corporate sabotage and espionage.
The invisible threat to Pinoy businesses
Cybersecurity teams are facing growing blind spots across both information technology and operational technology environments. Adrian Hia, managing director for Asia Pacific at Kaspersky, noted that the rapid push toward digital connectivity has turned modern security into a race against invisibility rather than just a race against time.
Recent incidents across the Asia Pacific region highlight how these digital disruptions cross over into physical consequences. A recent cyberattack on Japanese logistics firm Nichirei Corp disrupted its supply chain, while India’s manufacturing sector has faced a surge in industrial ransomware that paralyzed factory floors.
The problem is worsened by the complexity of modern AI tools. Because AI agents rely heavily on third-party frameworks, application programming interfaces, and plugins, a single compromised link can trigger a domino effect across an entire corporate network.
Fixing the security monitoring gap
Data from a recent assessment report shows that malicious activity went unnoticed for over three months in 31% of analyzed security incidents. This highlights a critical flaw in how local enterprises manage their networks: companies often invest heavily in security software but lack the continuous monitoring and operational discipline needed to catch intruders early.
To fight back, security experts emphasize that technology alone is no longer enough. Businesses need to combine automated defenses with human expertise to shorten the window of vulnerability.
The company has been utilizing automated machine learning models trained on global telemetry data since 2004 to build defenses capable of scaling alongside automated threats. For local enterprises handling massive data volumes, using platforms that combine real-time threat visibility with automated investigation tools can help security teams identify risks before they turn into full-blown crises.
Pinoy enterprises looking to evaluate their current network health can learn more about specialized defenses through the Kaspersky website.
