Security leaders are facing a new reality where autonomous AI agents now operate at machine speed, never tire and exploit weaknesses far faster than traditional defenses can respond.
Attacks now unfold in seconds. This means you can no longer operate with the long-standing mindset that it is ‘good enough’ to have a patch lag of 30 days or 95-98% or your endpoints protected by functioning detection and prevention tools. Even the smallest gap becomes an entry point for attackers, and organizations can no longer rely on partial coverage to keep them protected.
The rise of agentic AI
Agentic AI is rapidly emerging as one of the most disruptive forces in cybersecurity, reshaping both the scale of threats and the speed at which organizations must respond.
With 54 percent of CISOs feeling unprepared for AI-powered threats, the rise of autonomous systems is creating a new level of cybersecurity risk. Attackers can now operate at machine speed, launching thousands of automated phishing or intrusion attempts per second, dynamically adapting each attempt to the recipient to maximize the likelihood of engagement.
That pressure is already showing up in real-world situations. In the past 12 months alone, as 55 percent of CISOs report their organization experienced a cyberattack, ransomware infection, or compromise, that rendered mobile, remote, or hybrid endpoint devices inoperable. Those endpoints are proving harder to protect as they move farther from the core.
Phishing attacks are also becoming far more convincing as attackers weaponize AI. In the 2024 Hong Kong Deepfake CFO Scam, the attack began with a phishing email that directed a finance employee to a video call populated by AI‑generated deepfakes of their colleagues, ultimately leading to a US $25 million transfer.
The Global Cybersecurity Outlook 2026 reinforces this urgency, with 94 percent of respondents saying AI will be the single biggest driver of change in cybersecurity over the next year.
Yet the rise of agentic AI is not only a threat, but also a major opportunity. Autonomous agents can help organizations move from 95 to 98 percent compliance to near perfect coverage by automatically reasoning through failure cases and closing gaps humans often miss.
Realising this potential requires complete visibility and control over endpoints, as without an “unbreakable tether” to devices, defenders remain reactive while attackers stay relentlessly optimistic in their use of AI.
The organizations that succeed will be those that harness agentic AI’s power while building the governance, oversight and cyber resilience needed to stay ahead of machine speed attackers.
2% to 5% exposure mindset
In an era where attackers can move from initial intrusion to full breakout in minutes, we must reframe 95-98% compliance as 2-5% exposure and adjust mindset and approach to both protective and resilience measures accordingly. Similarly, patching and remediating vulnerabilities within 10’s of days of their becoming known when breakout time is measured in minutes or less, is no longer acceptable.
The direct financial cost of an incident is only one metric, operational downtime is equally critical. 87 percent of CISOs require between one to 14 days for full remediation and recovery. In a world where attackers escalate in minutes, losing even a single day of operational capacity is a strategic failure. This widening gap between attacker speed and defender recovery time makes “good enough” protection unsustainable.
AI driven remediation is changing the equation. Instead of relying on manual cycles that take weeks or months, autonomous systems have the potential to achieve near-100% compliance based on continuously identifying, prioritising, and resolving vulnerabilities. They eliminate configuration drift and ensure that critical security controls and tools are always deployed, updated and operational – all at the same machine speed that attackers are employing. -driven remediation is changing the equation. Instead of relying on manual cycles that take weeks or months, autonomous systems can now close the gap to 100 pe
Organizations that want to thrive in the AI era will need strong security practices and fast, automated remediation, along with firmware‑level resilience to ensure their AI tools remain reliable, secure, and continuously operational.
Recovery as the new KPI
In an environment where attacks unfold in minutes, organizations need recovery capabilities that can match that pace. True cyber resilience today means being able to recover endpoints quickly and remotely at scale, not just keeping servers online.
This shift is reshaping the role of security leaders, with 72 percent confirming their role has evolved from being responsible for security and risk, to leading business continuity recovery following a cyberattack, ransomware infection, other security incidents.
The expectation is no longer to simply restore operations, but to come back stronger and more secure. That’s the foundation of anti-fragility and is becoming essential to modern cybersecurity.
Every IT and security leader understands the impact of a downed endpoint. Whether it’s caused by a ransomware attack or a critical system failure like a Black Screen of Death (BSOD), the result is the same, a halt in productivity, a drain on IT resources, and a direct impact on the bottom line.
Traditional recovery methods are slow, manual, and expensive, often requiring devices to be shipped back to IT for manual reimaging, a process that can take days or even weeks, which can’t keep up with today’s fast-moving threats.
This is where firmware level persistence changes what’s possible. By maintaining an unbreakable tether to every device, even when the operating system itself or other tools are corrupted, crashing, or compromised, it ensures recovery remains available when everything else fails.
Absolute Rehydrate builds on this foundation, setting a new benchmark for proactive endpoint recovery. It empowers organizations to stop downtime before it disrupts business and gives IT and security teams decisive control in the moments that matter, transforming adversity into opportunities for deeper resilience and operational confidence.
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