Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Organizations have spent years hardening their perimeters against external attackers. Yet some of the most damaging breaches today originate from within. Insider threats — whether from disgruntled employees, compromised accounts, or AI agents — are responsible for a growing share of data loss and costly security incidents. Traditional security tools weren’t built for this reality.

On July 30, Acronis hosted “Acronis Accelerate: The Journey to Autonomous IT,” the second event in its special Acronis Accelerate series. Building on the vision introduced at the previous event in May, in this edition Acronis moved from strategy to action, showing partners how Acronis is turning AI-native cyber platform thinking into real products, live workflows and practical opportunities for growth.

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

Quick disclaimer before we start: I have a strict rule against ambulance chasing. You’ve seen vendor blogs that pounce on a breach headline just to pitch a product and claim it never would have happened with their tool installed. This isn’t that. The reported OpenAI and Hugging Face sandbox incident points to something bigger. Security teams are entering an era where autonomous AI agents can spot opportunities, adapt on the fly, and operate at machine speed.

Future-proofing organizations in the face of AI requires a unified defense strategy that secures both the human workforce and autonomous AI agents. One of the key requirements is shifting security cultures from reactive compliance to proactive, measurable behavioral change. As artificial intelligence evolves from a supporting tool into an autonomous digital workforce, organizations must adapt their defense frameworks to mitigate both human and agentic risks.

AI agent identity is a unique, digitally verifiable credential assigned to an autonomous AI system that defines who the agent is, what resources it can access, and on whose behalf it is acting. As AI systems move from answering questions to executing real-world actions independently, agent identity has become the new control plane for enterprise cybersecurity. Legacy identity and access management tools were built for humans behind a login screen and static service accounts running deterministic code.

AI agents are doing more than just generating code. Increasingly, they are working autonomously on complex coding challenges, touching production APIs, databases, and infrastructure across development environments, often without thorough human review. To perform these operations and access multiple systems, agents rely on developer secrets and non-human identities (NHI). But often, developers lack a secure way to share these secrets, leading to overprivileged, invisible access.