Tamar Toledano, Silicon Valley-Based Technology Consultant, Warns of Rising Risks from Agentic AI and Autonomous Systems

LOS ANGELES, CA, April 01, 2026 /24-7PressRelease/ — Tamar Toledano, a technology expert specializing in artificial intelligence, blockchain, and digital transformation, is raising urgent concerns about the growing risks posed by agentic AI and autonomous systems. As organizations deploy AI agents to streamline operations, a new wave of vulnerabilities is emerging. Many of these risks are still not fully understood.

Recent industry findings show that 37% of organizations experienced operational issues with AI agents in the past year. These incidents include data exfiltration, unauthorized data movement, configuration deletion, and unintended system disruptions. Toledano explains that these are not isolated technical problems. They are early warning signs of a deeper issue in how AI systems are designed and deployed. “Agentic AI represents a fundamental shift in how software behaves,” said Toledano. “We are no longer dealing with static tools that follow fixed instructions. These systems can make decisions and take actions in real time. That creates opportunity, but it also introduces risk that many organizations are not ready to manage.”

Toledano points to the rise of new attack methods that specifically target AI agents. Vulnerabilities such as EchoLeak and techniques like Reprompt attacks show how easily these systems can be manipulated. In some cases, attackers can trigger data leaks without any user interaction. This type of exploit is often described as a zero-click attack. “These attacks take advantage of how AI systems interpret context,” Toledano said. “By crafting inputs in a specific way, bad actors can influence how an AI agent behaves. This can happen without triggering traditional security defenses.”

The concern is not limited to malicious attacks. Even well-designed AI agents can behave in unexpected ways. Autonomous systems may misunderstand instructions or connect actions in ways that were never intended. They may also access sensitive data without proper authorization. In a business environment, these issues can quickly lead to serious operational problems.

Toledano draws on her experience working with high-growth startups in Silicon Valley. She notes that many organizations are moving quickly to adopt AI. However, they often lack the systems needed to manage it safely. “In fast-paced environments, companies want quick results,” she said. “AI is often treated as an easy solution. In reality, autonomous systems require careful planning. They need clear boundaries and constant oversight.”

She advises organizations to take a structured approach to managing AI risk. This includes setting strict access controls and regularly reviewing how AI agents behave. Companies should also build fail-safe systems that allow teams to step in when needed. These safeguards help ensure that AI operates within defined limits.

Toledano also highlights the need for better awareness at the leadership level. Many executives still approach AI risk using traditional cybersecurity thinking. This approach does not fully address the challenges of autonomous systems. “AI risk goes beyond data protection,” she said. “It involves understanding how decisions are made and how actions are carried out. Small issues can quickly grow into larger problems if they are not controlled.”
Her perspective comes from years of experience connecting advanced technology with business outcomes. She holds a master’s degree in computer engineering and has advised companies on large-scale digital transformation. Her work has helped organizations modernize operations and reduce costs by effectively leveraging emerging technologies.

Toledano’s approach is grounded in real-world application. Her interest in technology began early, when a project she worked on at a local company adopted a project she had worked on in high school, which strengthened her belief that technology should solve practical problems. “AI has the power to transform industries,” Toledano said. “But it must be used responsibly. Companies need to focus on building systems that are both effective and reliable.”

As adoption continues to grow, Toledano encourages organizations to move beyond experimentation. She believes companies must take a disciplined approach to AI deployment. Without proper safeguards, systems designed to improve efficiency could create new risks. “Agentic AI is not going away,” she said. “Organizations must decide how they will manage it. With the right approach, it can be a powerful asset. Without it, it can become a serious liability.” To learn more about Tamar Toledano, visit: https://tamartoledano.com/.

Tamar Toledano is a Silicon Valley-based technology consultant specializing in artificial intelligence, blockchain, and digital transformation. She works with high-growth startups and enterprise organizations to design and implement scalable technology solutions that drive operational efficiency and innovation. With a master’s degree in computer engineering, Toledano brings a strong technical foundation combined with a strategic business perspective. Her expertise includes AI adoption, autonomous systems, and emerging technology risk management. She is known for helping organizations navigate complex digital landscapes while building systems that are secure, reliable, and aligned with long-term business goals. To learn more, visit http://www.tamartoledano.com

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