Read.ai
Cybersecurity statistics about read.ai
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70% of organizations use network security technologies (e.g., SASE, firewalls, VPNs, IDS, IPS).
52% of leaders are slowed by lack of automation, nonstandard processes, and siloed decision-making.
49% of leaders deal with siloed control over security and risk management decisions.
Just one in three leaders see tokenization solutions enabling better data security over the next 12 months.
56% of organizations prioritize safeguarding sensitive data at scale.
34% of decision-makers said genAI capabilities are paramount to data security today. This figure balloons to 64% as they look two years ahead.
36% of middle market organizations prioritize cloud security in cybersecurity investment.
35% of middle market organizations prioritize broader risk management functions in cybersecurity investment.
23% of middle market organizations prioritize digital identity management.
Only 32% of organizations globally are very confident they could regain control if AI exposes admin credentials.
53% of US companies express confidence they could regain control if AI exposes admin credentials.
65% of organizations globally say AI identities are fully registered, authenticated and authorized in a formal system.
6% of organizations admit they do not track AI identities at all.
Within organizations that track AI identities, 57% use the same system as for human identities.
29% of organizations already use AI agents to manage security-related help desk tickets including password resets and VPN access.
65% of organizations intend to use AI agents to manage security-related help desk tickets within the next year.
61% of organizations have revoked or rotated AI agent credentials due to suspected exposure.
It takes an average of 14 hours to detect a compromised AI agent.
More than four in five organizations say a single compromised credential could affect multiple major systems.
Fewer than half of organizations report full visibility into where AI agent credentials are stored.