Fortinet FortiOS 7.6 autonomous SOC rollout

Behavior-centric security

Security teams prioritize adversary behavior over indicators of compromise because attackers change file hashes and IP addresses rapidly. Fortinet applies FortiGuard Labs intelligence across its SecOps portfolio to help teams reproduce adversary behaviors. FortiSOAR uses MITRE ATT&CK TTP mappings to publish updated TTP mappings, which allows organizations to receive a prioritized list of techniques adversaries use that a security stack misses. FortiDeceptor generates adaptive decoy assets that mirror actual network configurations to attract attackers. FortiEDR uses hunting packs. FortiRecon red teaming emulates adversarial attack patterns in controlled environments to help organizations identify security gaps. High-level ATT&CK mappings alone do not provide enough detail to determine if an organization is protected, so analysts must reproduce the relevant sequence of events in a controlled environment to trigger the relevant code paths and observe how security controls respond at each stage. This approach helps organizations defend against the explosion of network edges, ranging from data centers and WAN to the home edge. Fortinet provides zero-trust network access out of the box. This capability verifies the user and device for every application session and hides business-critical applications from the Internet.

AI and automation performance

FortiOS 7.6 uses neural networks trained on 18 million breach patterns to identify vulnerable assets before exploitation. Machine learning models isolate compromised devices within 0.8 seconds of detection. This capability prevented lateral movement in 94% of simulated APT attacks during independent testing. During DDoS attacks, the system redistributes network resources to protect business-critical flows, which maintained 89% of VoIP call quality even under 2.3 Tbps attack volumes. The system also adjusts microsegmentation rules based on real-time risk scores. While Palo Alto Networks claims Cortex AgentiX delivers a 98% reduction in MTTR and 75% less manual work, Fortinet focuses on native integration of GenAI within its FortiManager and FortiAnalyzer management consoles. Palo Alto Networks provides prebuilt agents for threat intelligence, email investigation, endpoint investigation, and network security. These agents work via a platform trained on 1.2 billion real-world playbook executions.

Do you believe machine-speed responses can actually compensate for the loss of human-led investigation?

Managing complexity and convergence

Sixty-nine percent of organizations cite tool sprawl and visibility gaps as the top barriers to effective cloud security. Teams spend time stitching alerts across disconnected consoles instead of performing remediation. This complexity grows as the attack surface expands. Seventy-four percent of OT organizations experienced a data breach in the last 12 months, which reduced safety, productivity, and revenue. Most organizations also report a lack of security awareness and sufficient IT security skills, which complicates the deployment of new technologies. Sixty-two percent of organizations intend to increase their cybersecurity budgets this year. Additionally, 70 percent of organizations plan to make the CISO responsible for OT cybersecurity in the next year. Cyberattacks on critical infrastructure like energy and transportation can impact the economy and public safety. The convergence of IT and OT increased over the last 18 months, requiring big data analytics and machine learning in OT systems. Fortinet addresses these risks with a platform approach that integrates networking and security across the entire digital attack surface. This platform allows for a single management experience via FortiCloud. You should look at how your current stack handles the convergence of IT and OT.