forbes.com
Safe's Agentic AI-Powered CTEM Platform Improves Cyber Risk Management
Safe, a cybersecurity company, launched a fully autonomous CTEM platform using Agentic AI to address limitations of traditional systems by prioritizing critical threats in real-time through specialized AI agents for zero-day detection and financial impact analysis, improving cyber risk management.
- What is the core innovation offered by Safe's new CTEM platform, and how does it improve upon existing solutions for managing cyber risks?
- Safe, a cybersecurity firm, has launched a fully autonomous CTEM platform powered by Agentic AI, addressing the limitations of traditional systems that struggle to prioritize critical threats amidst overwhelming data volumes. This platform uses AI agents specializing in tasks such as zero-day detection and financial impact analysis, enabling real-time, context-aware responses.
- How does the use of Agentic AI in Safe's platform change the approach to threat prioritization and response compared to traditional methods?
- The platform's Agentic AI system simulates attack paths, evaluates business impact, and adapts actions in real time, unlike traditional automation which relies on scripting or alert aggregation. This shift towards contextual, autonomous reasoning provides relevance and efficiency in managing cyber risks.
- What are the long-term implications of this technology for the cybersecurity industry, and how might it reshape the role of CISOs in managing cyber risk?
- This technology signifies a convergence of risk quantification, exposure management, and remediation workflows, creating a closed-loop system. The future of cybersecurity points towards intelligent automation aligning security operations with business outcomes, a trend reflected in Safe's recent $70 million Series C funding round.
Cognitive Concepts
Framing Bias
The article's framing strongly favors Agentic AI and Safe's platform. The positive quotes from industry experts and the emphasis on Safe's funding round reinforce this bias. Headlines and subheadings contribute to this positive portrayal. For example, "Cyber Risk That Thinks for Itself" presents Agentic AI in a highly favorable light.
Language Bias
The article uses positive and loaded language to describe Agentic AI, such as "autonomous intelligence," "reasoning," and "strategic." These terms carry connotations of superiority and effectiveness. While not explicitly biased, the repeated positive descriptions lack neutrality. For example, instead of "Agentic AI offers a possible solution", a more neutral option would be "Agentic AI is one proposed solution".
Bias by Omission
The article focuses heavily on Safe's platform and its use of Agentic AI, potentially omitting other companies or approaches to CTEM and cyber risk management. While acknowledging limitations of scope, a broader discussion of alternative solutions would enhance the article's objectivity. The lack of critical analysis of potential downsides or limitations of Agentic AI is also a notable omission.
False Dichotomy
The article presents a somewhat simplistic view of the contrast between traditional CTEM and Agentic AI, implying a clear dichotomy where Agentic AI is the superior solution. While it acknowledges some limitations of traditional methods, it doesn't fully explore the complexities or potential shortcomings of Agentic AI.
Sustainable Development Goals
The development and implementation of agentic AI in cybersecurity represents a significant innovation in risk management. This technology enhances efficiency, improves decision-making, and allows for proactive threat response, contributing to more resilient infrastructure and better protection of digital assets, which are crucial components of modern economies and societies. The increased efficiency also frees up human resources for more strategic tasks.